Jobs and the Future of Work
How to rebuild the enterprise for the Age of Agentic AI
Dec 15, 2025
https://www.weforum.org/stories/2025/12/how-to-rebuild-enterprise-for-age-of-agentic-ai/
MANAGEMENT THEORY REVIEW - Articles on Management Subjects for Knowledge Revision and Updating by Management Executives ---by Dr. Narayana Rao, Professor (Retd.), NITIE - IIM Mumbai --- 4.55+ MILLION Page Views--- Global Top Blog for Management Theory---Management for Effectiveness, Efficiency and Excellence.
Showing posts with label Digital Transformation. Show all posts
Showing posts with label Digital Transformation. Show all posts
December 21, 2025
October 11, 2025
AI Agents in Procurement
By 2027, 50% of procurement tasks will be automated by AI agents (Gartner, 2024).
https://www.zycus.com/blog/ai-agents/procurement-2025-transforms-forever-with-agentic-ai
New Technologies and Industrial Engineering.
Industrial Engineers have to lead their organizations in understanding and adopting new technologies.
Latest New Technology - Agentic AI.
https://nraoiekc.blogspot.com/2025/04/new-technologies-and-industrial.html
AI Agents in Procurement: A Comprehensive Guide
Zycus
Published On: 11/22/2024, Last Modified On: 06/10/2025
https://www.zycus.com/blog/ai-agents/guide-to-ai-agents-in-procurement
AI Agents are Reshaping S2P: Intelligent GenAI agents streamline Source-to-Pay processes, enhancing compliance, efficiency, and decision-making.
Supplier & Spend Management Transformed: From fast onboarding to real-time spend tracking, AI optimizes supplier collaboration and savings visibility.
Strategic Sourcing & Tail Spend Get Smarter: AI-driven bid analysis, autonomous negotiations, and automated tail spend controls bring precision and speed.
Contract & Procurement Operations Made Seamless: Built-in AI powers contract lifecycle management and automates tactical purchases, shortening cycle times.
Risk, Decision-Making & Enterprise Scalability: AI delivers real-time supplier risk insights, predictive analytics, and scales for mid-size to large enterprises.
CPOs Guide
https://www.zycus.com/knowledge-hub/whitepapers/cpos-guide-to-agentic-ai-in-procurement
AI agents in procurement - IBM
https://www.ibm.com/think/topics/ai-agents-in-procurement
News
2025
The Autonomous Advantage: How Agentic AI is Redefining Competitive Edge in Procurement
Picture of Saketa Chilukuri
Saketa Chilukuri
Published On: 04/28/2025
https://www.zycus.com/blog/ai-agents/autonomous-sourcing-with-agentic-ai
2025: The Year Procurement Transforms Forever with Agentic AI
Picture of Amit Shah
Amit Shah
Published On: 02/21/2025
https://www.zycus.com/blog/ai-agents/procurement-2025-transforms-forever-with-agentic-ai
September 17, 2025
Making Digital Transformation Effective and Successful - Effectiveness First, Efficiency Next
Four steps highlighted
- Invest and Build Technology, People, and Process capabilities.
- Develop reusable tools and modules to deploy solutions quickly in multiple processes.
- Take a localized approach to solution adoption in each process. Educate and involve the local frontline talent to fine tune the solution to suit the customer profile, resource profile and employee profile etc.
- Prevent Process Debt - Reengineer each process to use the full power of technology.
August 7, 2023
Supply Chain Analytics - Introduction and Bibliography
Online MBA Management Theory Handbook
What is Supply Chain Analytics - IBM - https://www.ibm.com/supply-chain/supply-chain-analytics
What is a supply chain control tower?
A supply chain control tower is a connected, personalized dashboard of data, key business metrics and events across the supply chain. A supply chain control tower enables organizations to more fully understand, prioritize and resolve critical issues in real time. Supply chain control tower collects all data and utilizes supply chain analytics to present the data to decision makers in various formats and decision related levels.
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
Descriptive Analytics
Using Descriptive Analytics to Improve Supply Chain Visibility for Variability, Velocity, Volume, and Variety.
Diagnostic Analytics
Supply Chain Diagnostic: A Four-Step Process.
Insights on performing a supply chain diagnostics and improving supply chain planning.
Predictive Analytics
What Is Predictive Analytics?
As its name implies, predictive analytics is about predicting future trends such as sales demand, exchange rates and other important supply chain metrics. The technique relies on the application of statistical modeling and regression analysis to historical data to determine and understand trends and formulate future trends.
Supply Chain Predictive Analytics: What Is It and Who's Doing It?
Prescriptive Analytics
Prescriptive analytics: For supply chain planning processes that need recommendations for more efficient and data-based decision-making, prescriptive analytics is recommended. It can employ techniques like AI and machine learning. An example is a business that wants advice on a possible outcome and what suggested actions they should take.
Using Prescriptive Analytics for Supply Chain Planning
A smarter control tower should provide end-to-end visibility across the supply chain — particularly into unforeseen external events.
Supply chain executives are under enormous pressure to provide customers what they need — when and where they need it — while also optimizing supply operations and achieving cost-saving goals. This is especially challenging in times of unpredictable yet inevitable vulnerabilities and disruptions.
Types of supply chain control towers
Logistics/transportation control towers
Logistics/transportation control towers offer advance shipping notifications, delivery data and track-and-trace information — and visibility into inbound and outbound logistics.
Fulfillment control towers
Fulfillment control towers specialize in assisting package shipments, and are designed to help expedite orders while reducing the overall cost-to-serve.
Inventory control towers
Inventory control towers enable real-time insights into inventory management, with special emphasis on preventing inventory stock-outs and shortages.
Supply assurance control towers
Supply assurance control towers ensure there’s an adequate supply available, that more supply is planned for delivery, and other matters related to supply.
E2E supply chain control towers
E2E supply chain control towers are engineered to provide visibility across internal and external systems and processes, with applications for various departments or entities.
What is Supply Chain Analytics - McKinsey - https://www.mckinsey.com/business-functions/operations/our-insights/big-data-and-the-supply-chain-the-big-supply-chain-analytics-landscape-part-1
Supply Chain Analytics - Video Lectures - NPTEL
A good comprehensive essay
Big Data Analytics and Its Applications in Supply Chain Management
Deloitte on Supply Chain Analytics
Like in various others parts of business, analytics which is a combination of statistics and data processing power of computers has enabled the processing of supply chain related data to point out cost reduction or profit improving niches.
Deloitte consultants pointed out the following.
Parametric pricing: The new parts a manufacturer procures differ only in small, specific ways from earlier versions in number of cases. A company with good parametric price modeling ability can identify these parameters of change in new parts and use them to determine what the net price change should be. That expedites the negotiating process and helps a company avoid overpayment.
Commodities price volatility: Raw materials fluctuate in price and makes business planning difficult. Unexpected price jumps can damage margin. Companies can use analytics to develop macroeconomic models and come out with better predictions – and use options, futures and contract provisions to hedge.
M&A integration: When the merger is between two companies in the same industry, they may be using the same parts/materials in their operations, but may have different material numbers and most likely different purchasing prices. After merger, such parts can be identified using analytics so that buyers can rationalize their procurement and save money.
https://www2.deloitte.com/us/en/pages/operations/articles/supply-chain-analytics-how-hard-should-you-squeeze.htmlhttps://www2.deloitte.com/tw/en/pages/deloitte-analytics/solutions/process.html
2021
Supply Chain 4.0: Improving Supply Chains with Analytics and Industry 4.0 Technologies
Emel Aktas, Michael Bourlakis, Ioannis Minis, Vasileios Zeimpekis
Kogan Page Publishers, 03-Feb-2021 - Business & Economics - 312 pages
Supply Chain 4.0 has introduced automation into logistics and supply chain processes, exploiting predictive analytics to better match supply with demand, optimizing operations and using the latest technologies for the last mile delivery such as drones and autonomous robots.
Supply Chain 4.0 presents new methods, techniques, and information systems that support the coordination and optimization of logistics processes, reduction of operational costs as well as the emergence of entirely new services and business processes.
This edited collection includes contributions from leading international researchers from academia and industry. It considers the latest technologies and operational research methods available to support smart, integrated, and sustainable logistics practices focusing on automation, big data, Internet of Things, and decision support systems for transportation and logistics. It also highlights market requirements and includes case studies of cutting-edge applications from innovators in the logistics industry.
https://books.google.co.in/books?id=gXgWEAAAQBAJ
SIX TRENDS THAT WILL IMPACT PROCUREMENT IN THE DIGITAL AGE
September 9, 2019 Kumar Singh
https://supplychainanalytics.guru/2019/09/09/six-trends-that-will-impact-procurement-in-the-digital-age/
“Without the right tech investment, you aren’t optimized and you aren’t synchronized.”
Domo’s approach, is that organizations need to link supply and demand in order to understand the customer in the middle and ensure transparent reporting throughout.
2013
In 2013 the Journal of Business Logistics published a white paper calling for research into the possible applications of Big Data within supply chain management. Since then, significant steps have been taken.
https://www.forbes.com/sites/bernardmarr/2016/04/22/how-big-data-and-analytics-are-transforming-supply-chain-management/#cf32d3b39ad2
Predicting demand accurately in volatile conditions requires sophisticated math based forecasting that can include downstream consumption data such as point-of-sales data, and model the impact of sales promotions, price, and other factors on demand. Analytics provides the capability.
SAS identified the follow levels of analytics.
8 LEVELS OF ANALYTICS
Level 1: Standard reports
Level 2: Ad hoc reports
Level 3: Query drilldown (or OLAP)
Level 4: Alerts
Level 5: Statistical analysis
Level 6: Forecasting
Level 7: Predictive modeling
Level 8: Optimization
When a company’s supply-chain management is fueled with data-driven insights, it is more effective at controlling costs, thereby protecting profits.
SAS emphasizes:
1. Efficiency and performance gains require predictive, data-driven insights.
2. Analytics are the wave of the future for next-generation supply-chains.
SAS Case Study STEEL MANUFACTURER IMPROVES PERFORMANCE, PROFITABILITY
A large, Asian manufacturer of steel (19,000 employees working to produce 28.5 million tons of steel annually), provided analytics support to two of its process innovation (PI) programs using sas’s software. the PI programs had a goal of updating 30-year-old business practices to improve efficiency and competitiveness. First, the company used sas to extract, transfer, and transform its ERP and legacy data into a data warehouse. secondly, the company combined sas’s analysis capabilities with its six sigma Project tracking system. this combination allows managers to gather data on PI
projects, identify most-critical quality issues, and analyze them for root causes. By enabling daily and monthly monitoring, the company can resolve issues early on and improve overall manufacturing processes with the first PI phase, the company achieved a 50 percent reduction in lead times for standard hot coil production (from 30 days to 14 days), and a 60 percent reduction in inventory (from 1 million tons to 400,000 tons).
Further, by analyzing and then making necessary improvements to the manufacturing process, the company was able to reduce the scrap ratio on hot coil from 15 percent to 1.5 percent, leading to additional savings and resulting in a total ROI of over $15.5 million in less than two years.
Source: IW/SAS Supply-Chain Analytics Survey. Email survey: Between June 8 and June 15, 2010,
Penton Research e-mailed invitations to participate in an online survey to 37,629 IndustryWeek print subscribers. By June 30, 2010, Penton Research received 398 responses, a 1.1 percent response rate. Of those, 210 respondents that were involved in their companies’ supply-chain operations were considered qualified to answer the questions.
http://www.wipro.com/services/analytics/services/supply-chain-analytics/
https://www.forbes.com/sites/bernardmarr/2016/04/22/how-big-data-and-analytics-are-transforming-supply-chain-management/
Updated on8.8.2023, 20 July 2021, 9 September 2019, 14 April 2017.
2019
SIX TRENDS THAT WILL IMPACT PROCUREMENT IN THE DIGITAL AGE
September 9, 2019 Kumar Singh
https://supplychainanalytics.guru/2019/09/09/six-trends-that-will-impact-procurement-in-the-digital-age/
“Without the right tech investment, you aren’t optimized and you aren’t synchronized.”
Domo’s approach, is that organizations need to link supply and demand in order to understand the customer in the middle and ensure transparent reporting throughout.
Synchronizing the two creates collaboration, and collaboration starts with data. Domo offers a variety of simple, intuitive ways to get the right data to the right people, from live data dashboards with predictive alerts to internal reports delivered across the organization. Colgate-Palmolive’s Ann Tracy argued that collaboration is needed to study, analyze and apply data analysis. Data needs to be accessible across each function of the business—from senior leaders on down to more junior staff—and ultimately add value for the end user.
https://www.domo.com/blog/gartner-scc-diary-part-3-people-data-and-systems-arent-sustainable-without-each-other/2013
In 2013 the Journal of Business Logistics published a white paper calling for research into the possible applications of Big Data within supply chain management. Since then, significant steps have been taken.
https://www.forbes.com/sites/bernardmarr/2016/04/22/how-big-data-and-analytics-are-transforming-supply-chain-management/#cf32d3b39ad2
IWCR SAS Report on Supply Chain Analytics in 2010
Predicting demand accurately in volatile conditions requires sophisticated math based forecasting that can include downstream consumption data such as point-of-sales data, and model the impact of sales promotions, price, and other factors on demand. Analytics provides the capability.
SAS identified the follow levels of analytics.
8 LEVELS OF ANALYTICS
Level 1: Standard reports
Level 2: Ad hoc reports
Level 3: Query drilldown (or OLAP)
Level 4: Alerts
Level 5: Statistical analysis
Level 6: Forecasting
Level 7: Predictive modeling
Level 8: Optimization
When a company’s supply-chain management is fueled with data-driven insights, it is more effective at controlling costs, thereby protecting profits.
SAS emphasizes:
1. Efficiency and performance gains require predictive, data-driven insights.
2. Analytics are the wave of the future for next-generation supply-chains.
SAS Case Study STEEL MANUFACTURER IMPROVES PERFORMANCE, PROFITABILITY
A large, Asian manufacturer of steel (19,000 employees working to produce 28.5 million tons of steel annually), provided analytics support to two of its process innovation (PI) programs using sas’s software. the PI programs had a goal of updating 30-year-old business practices to improve efficiency and competitiveness. First, the company used sas to extract, transfer, and transform its ERP and legacy data into a data warehouse. secondly, the company combined sas’s analysis capabilities with its six sigma Project tracking system. this combination allows managers to gather data on PI
projects, identify most-critical quality issues, and analyze them for root causes. By enabling daily and monthly monitoring, the company can resolve issues early on and improve overall manufacturing processes with the first PI phase, the company achieved a 50 percent reduction in lead times for standard hot coil production (from 30 days to 14 days), and a 60 percent reduction in inventory (from 1 million tons to 400,000 tons).
Further, by analyzing and then making necessary improvements to the manufacturing process, the company was able to reduce the scrap ratio on hot coil from 15 percent to 1.5 percent, leading to additional savings and resulting in a total ROI of over $15.5 million in less than two years.
Source: IW/SAS Supply-Chain Analytics Survey. Email survey: Between June 8 and June 15, 2010,
Penton Research e-mailed invitations to participate in an online survey to 37,629 IndustryWeek print subscribers. By June 30, 2010, Penton Research received 398 responses, a 1.1 percent response rate. Of those, 210 respondents that were involved in their companies’ supply-chain operations were considered qualified to answer the questions.
http://www.wipro.com/services/analytics/services/supply-chain-analytics/
https://www.forbes.com/sites/bernardmarr/2016/04/22/how-big-data-and-analytics-are-transforming-supply-chain-management/
Supply Chain Analytics - Google Books
Supply Chain Analytics and Modelling: Quantitative Tools and Applications
Nicoleta Tipi · 2021
Supply Chain Analytics and Modelling presents a range of business analytics models used within the supply chain to help readers develop knowledge on a variety of topics to overcome common issues.
Supply Chain Analytics: Using Data to Optimise Supply Chain Processes
Peter W. Robertson · 2021
By describing the key supply chain processes through worked examples, and the descriptive, predictive and prescriptive analytic methods that can be applied to bring about improvements to those processes, the book presents a more comprehensive learning experience for the reader than has been offered previously.
Essentials of Business Analytics: An Introduction to the
Bhimasankaram Pochiraju, Sridhar Seshadri · 2019
This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners.
Logistics, Supply Chain and Financial Predictive Analytics:
Kusum Deep, Madhu Jain, Said Salhi · 2018
This book addresses a broad range of problems commonly encountered in the fields of financial analysis, logistics and supply chain management, such as the use of big data analytics in the banking sector.
Supply Chain Management in the Big Data Era -
Chan, Hing Kai, Subramanian, Nachiappan, Abdulrahman, Muhammad Dan-Asabe · 2016
Highlighting emerging strategies from different industry perspectives, this book is ideally designed for managers, professionals, practitioners, and students interested in the most recent research on supply chain innovations.
https://books.google.co.in/books?id=aN52DQAAQBAJ
Big Data Driven Supply Chain Management: A Framework for ...books.google.co.in
Nada R. Sanders · 2014
Despite these opportunities, many supply chain operations are gaining limited or no value from Big Data. In Big Data Driven Supply Chain Management, Nada Sanders presents a systematic five-step framework for using Big Data in supply chains.
Supply Chain Optimization through Segmentation and Analytics books.google.co.in
Gerhard J. Plenert · 2014
Then which planning and scheduling solution do you utilize? This book introduces the concept of segmentation as the planning and scheduling tool that facilitates the optimization of the supply chain.
Supply Chain Metrics that Matter books.google.co.in
Lora M. Cecere · 2014
Mistakes are hard to overcome. Supply Chain Metrics that Matter tells this story. The book links corporate financials to supply chain maturity. In the book, the author analyzes which metrics matter.
Encyclopedia of Business Analytics and Optimization books.google.co.in › books
Wang, John · 2014
Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.
Applied Predictive Analytics: Principles and Techniques for ...books.google.co.in › books
Dean Abbott · 2014
The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today This guide teaches not only the principles of predictive analytics, but also how to apply them to ...
The Applied Business Analytics Casebook: Applications in ...books.google.co.in › books
Matthew J. Drake · 2013
The first collection of cases on “big data” analytics for supply chain, operations research, and operations management, this reference puts readers in the position of the analytics professional and decision-maker.
Networks Against Time: Supply Chain Analytics for Perishable ...books.google.co.in › books
Anna Nagurney, Min Yu, Amir H. Masoumi · 2013
This book can also be used by advanced undergraduate students and graduate students in the disciplines noted above to familiarize themselves with methodologies and supply chain network models and applications.
Supply Chain Network Design: Applying Optimization and ...books.google.co.in › books
Michael Watson, Sara Lewis, Peter Cacioppi · 2012
Using strategic supply chain network design, companies can achieve dramatic savings from their supply chains.
Global Business Analytics Models: Concepts and Applications ...books.google.com › books
Hokey Min · 2016
THE COMPLETE GUIDE TO USING ANALYTICS TO MANAGE RISK AND UNCERTAINTY IN COMPLEX GLOBAL BUSINESS ENVIRONMENTS Practical techniques for developing reliable, actionable intelligence–and using it to craft strategy Analytical opportunities to ...
Business Analytics: Progress On Applications In Asia Pacificbooks.google.co.in › books
Jorge L C Sanz · 2016
Business Analytics: Progress on Applications in Asia Pacific provides a useful picture of the maturity of the Business Analytics domain in Asia Pacific.
Big Data Analytics in Supply Chain Management: Theory and ...books.google.com › books
Iman Rahimi, Amir H. Gandomi, Simon James Fong · 2020
Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain ...
Handbook of Quantitative Supply Chain Analysis: Modeling in the E-Business Era
David Simchi-Levi, S. David Wu, Zuo-Jun (Max) Shen · 2004
The Handbook is a comprehensive research reference that is essential for anyone interested in conducting research in supply chain.
Towards Supply Chain Risk Analytics: Fundamentals, ... - Page ibooks.google.co.in › books
Iris Heckmann · 2016
– PAGE I
In this thesis, Iris Heckmann develops a profound conceptual basis of supply chain risk analytics.
Data Science for Business: What You Need to Know about Data ...books.google.co.in › books
Foster Provost, Tom Fawcett · 2013
This guide also helps you understand the many data-mining techniques in use today.
Modeling the Supply Chain books.google.co.in › books
Jeremy F. Shapiro · 2007 · No preview
The book also shows how competitive advantage in supply chain management can be most fully realized by developing and applying optimization modeling systems.
Logistics Management: An Analytics-Based Approachbooks.google.co.in › books
Tan Miller, Matthew J. Liberatore · 2020 · No preview
Data Strategy: How to Profit from a World of Big Data, ...books.google.co.in › books
Bernard Marr · 2017
Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Data Strategy is a must-have guide to creating a robust data strategy.
Big Data Analytics in Supply Chain Management: Theory and ...books.google.com › books
Iman Rahimi, Amir H. Gandomi, Simon James Fong · 2020
Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain ...
Industry 4.0 Data Analyticsbooks.google.co.in › books
Rajesh Agnihotri, Samuel New · 2016 · No preview
This book's comprehensive, one-of-a-kind coverage, journeys from the birth of digital data during Industries 3.0, to the latest practices, trends, and emerging developments in Industries 4.0.
Our Quick Notes On Supply Chain Analyticsbooks.google.com › books
Vivek Sood · 2020
Do not be deceived by their short nature - these notes are only 22 pages or so. But these are 22 pages of potent dynamite that will supercharge your thinking in the right direction.
Data Science for Supply Chain Forecasting - Page ibooks.google.co.in › books
Nicolas Vandeput · 2021
– PAGE I
This second edition adds more than 45 percent extra content with four new chapters including an introduction to neural networks and the forecast value added framework.
Supply Chain Optimization, Design, and Management: Advances ...books.google.co.in › books
Minis, Ioannis, Zeimpekis, Vasileios, Dounias, Georgios · 2010
Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods presents computational intelligence methods for addressing supply chain issues.
No image available
Supply chain analyticsbooks.google.com › books
3G E-learning LLC, USA · 2017 · No preview
Behind Every Good Decision: How Anyone Can Use Business ...books.google.co.in › books
Piyanka Jain, Puneet Sharma · 2014
Readers will learn how to:• Clarify the business question• Lay out a hypothesis-driven plan• Pull relevant data• Convert it to insights• Make decisions that make an impactPacked with examples and exercises, this refreshingly ...
Inventory Optimization: Models and Simulationsbooks.google.co.in › books
Nicolas Vandeput · 2020
In this book . . . Nicolas Vandeput hacks his way through the maze of quantitative supply chain optimizations. This book illustrates how the quantitative optimization of 21st century supply chains should be crafted and executed. . .
Creating Value with Big Data Analytics: Making Smarter ...books.google.co.in › books
Peter C. Verhoef, Edwin Kooge, Natasha Walk · 2016
This book is a refreshingly practical, yet theoretically sound roadmap to leveraging big data and analytics.
Supply Chain Analytics - Simple Steps to Win, Insights and ...books.google.com › books
Gerard Blokdijk · 2015 · No preview
The job can be accomplished by having a roadmap and experiences from previous Supply Chain Analytics changes. This is where this book is your guide and roadmap.
Supply Chain Analytics Data a Complete Guide - 2020 Editionbooks.google.com › books
Gerardus Blokdyk · 2019 · No preview
You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in.
Analysis and Algorithms for Service Parts Supply Chainsbooks.google.co.in › books
John A. Muckstadt · 2004
This book provides a broad overview of modeling approaches and solution methodologies for addressing service parts inventory problems found in high-powered technology and aerospace applications.
Supply Chain Planning and Analytics: The Right Product in ...books.google.com › books
Gerald Feigin · 2011 · No preview
This book smartly focuses on the three interlinked processes that compose effective supply chain planning: demand planning, sales and operations planning, and inventory and supply planning.
Supply Chain 4.0: Improving Supply Chains with Analytics and ...books.google.com › books
Emel Aktas, Vasileios Zeimpekis, Michael Bourlakis · 2021 · No preview
This edited book considers the latest technologies and operational research methods available to support smart, integrated, and sustainable logistics practices focusing on automation, big data, Internet of Things, autonomous vehicles and ...
No image available
The Effect of Supply Chain Analytics on Business Decision-makingbooks.google.com › books
2020 · No preview
Supply chain analytics -- Decision-making -- Data-driven decisions -- Supply chain management -- Big data -- Big data analytics.
Inventory Analytics: Prescriptive Analytics in Supply Chainsbooks.google.com › books
Horst Tempelmeier · 2020
The book has been written for students of Supply Chain Management and Operations Management as well as for practitioners who are confronted with inventory management in their daily work.
Supply Chain Analytics Complete Self-Assessment Guidebooks.google.com › books
Gerardus Blokdyk · 2017 · No preview
This book is for managers, advisors, consultants, specialists, professionals and anyone interested in Supply Chain Analytics assessment.
Supply Chain Analyticsbooks.google.com › books
Aegli Marathefti · 2011 · No preview
Supply Chain Analytics Complete Self-Assessment Guidebooks.google.com › books
Gerardus Blokdyk · 2017 · No preview
This book is for managers, advisors, consultants, specialists, professionals and anyone interested in Supply Chain Analytics assessment.
Managing Supply Chain Analytics - Guiding Organizations to ...books.google.com › books
Tino T. Herden · 2020 · No preview
Advanced Analytics for Green and Sustainable Economic ...books.google.co.in › books
Zongwei Luo · 2012 · No preview
"This book focuses on the development of innovative techniques and tools that answer urgent questions in the global trend of sustainable economic development, providing researchers and business managers with a valuable resource for the ...
Übungsbuch Supply Chain Analytics: Operations Management und ...books.google.com › books· Translate this page
Hans-Otto Günther, Horst Tempelmeier · 2020
Dieses Übungsbuch ergänzt das von denselben Autoren verfaßte Lehrbuch "Supply Chain Analytics - Operations Management und Logistik".
Operations Rules: Delivering Customer Value through Flexible ...books.google.co.in › books
David Simchi-Levi · 2010
In Operations Rules, David Simchi-Levi identifies the crucial element in a company's success: the link between the value it provides its customers and its operations strategies.
Artificial Intelligence. An International Perspective: An ...books.google.co.in › books
Max Bramer · 2009
Artificial Intelligence (AI) is a rapidly growing inter-disciplinary field with a long and distinguished history that involves many countries and considerably pre-dates the development of computers.
Data Science for Executives: Leveraging Machine Intelligence ...books.google.co.in › books
Nir Kaldero · 2018 · No preview
If you're ready to meet the challenges of this new revolution, this essential guide will help you take your business to the next level.
Supply Chain Analytics with SAP NetWeaver Business Warehousebooks.google.com › books
Amol Palekar · 2012 · No preview
Updated on8.8.2023, 20 July 2021, 9 September 2019, 14 April 2017.
July 13, 2023
Enterprise Manufacturing Intelligence System (EMI)
Enterprise manufacturing intelligence (EMI) connects, organizes and aggregates manufacturing data from across your manufacturing enterprise.
https://plm.sw.siemens.com/en-US/opcenter/enterprise-manufacturing-intelligence-capabilities/
https://sageclarity.com/solutions/manufacturing-intelligence/
July 23, 2022
Analytics for Grocery Retail Sales
https://www.mckinsey.com/industries/retail/our-insights/pushing-granular-decisions-through-analytics-in-na
Personalized promotions through insights from analytics can be utilized by retailers. Retailers can operate the use cases at scale because technology has evolved, and customer touchpoints for data collection and communication (especially through e-grocery and loyalty apps) have increased in recent years. When done right, promotions can provide a substantial benefit of 4 to 8 percent sales increase and 2 to 3 percent net income and EBIT uplift.
July 18, 2022
Management Science of Transformations - Breakthrough Improvements
I strongly support development and use of management science. In the area of productivity, I promote productivity science. McKinsey consultants published number of articles and papers on the "Management Science of Transformations."
The 24 actions of transformation
24 practical actions were identified based on the experience of McKinsey consultants as the supporting actions for the successful implementation of a transformation. (Below are the list of actions in order of their impact (from greatest to least) on the likelihood of a transformation’s success, according to the results of a survey conducted among industry executives.
Senior managers communicated openly across the organization about the transformation’s progress and success
Everyone can see how his or her work relates to organization’s vision
Leaders role-modeled the behavior changes they were asking employees to make
All personnel adapt their day-to-day capacity to changes in customer demand
Senior managers communicated openly across the organization about the transformation’s implications for individuals’ day-to-day work
Everyone is actively engaged in identifying errors before they reach customers
Best practices are systematically identified, shared, and improved upon
The organization develops its people so that they can surpass expectations for performance
Managers know that their primary role is to lead and develop their teams
Performance evaluations held initiative leaders accountable for their transformation contributions
Leaders used a consistent change story to align organization around the transformation’s goals
Roles and responsibilities in the transformation were clearly defined
All personnel are fully engaged in meeting their individual goals and targets
Sufficient personnel were allocated to support initiative implementation
Expectations for new behaviors were incorporated directly into annual performance reviews
At every level of the organization, key roles for the transformation were held by employees who actively supported it
Transformation goals were adapted for relevant employees at all levels of the organization
Initiatives were led by line managers as part of their day-to-day responsibilities
The organization assigned high-potential individuals to lead the transformation (e.g., giving them direct responsibility for initiatives)
A capability-building program was designed to enable employees to meet transformation goals
Teams start each day with a formal discussion about the previous day’s results and current day’s work
A diagnostic tool helped quantify goals (e.g., for new mind-sets and behaviors, cultural changes, organizational agility) for the transformation’s long-term sustainability
Leaders of initiatives received change-leadership training during the transformation
A dedicated organizing team (e.g., a project management or transformation office) centrally coordinated the transformation
https://www.mckinsey.com/~/media/mckinsey/business%20functions/people%20and%20organizational%20performance/our%20insights/how%20to%20beat%20the%20transformation%20odds/how_to_beat_the_transformation_odds.pdf
They asked executives of a sample the actions they have taken among the list and their opinion on the success of the transformation initiative.
The science behind transformations: Maximizing value during implementation
Our latest transformation research shows that the largest share of value loss happens during implementation. What can leaders do to prevent it?
https://www.mckinsey.com/business-functions/people-and-organizational-performance/our-insights/the-organization-blog/the-science-behind-transformations-maximizing-value-during-implementation
https://www.mckinsey.com/business-functions/transformation/our-insights
https://www.mckinsey.com/business-functions/transformation/our-insights/how-many-people-are-really-needed-in-a-transformation
https://www.mckinsey.com/~/media/mckinsey/business%20functions/people%20and%20organizational%20performance/our%20insights/successful%20transformations/december%202021%20losing%20from%20day%20one/losing-from-day-one-why-even-successful-transformations-fall-short-final.pdf
https://www.mckinsey.com/business-functions/rts/how-we-help-clients
https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/five-moves-to-make-during-a-digital-transformation
https://www.linkedin.com/pulse/odds-transformation-24-actions-srikanth-ghanta/
https://hbr.org/2016/10/organizations-cant-change-if-leaders-cant-change-with-them
July 11, 2022
Developing a Digital Mindset
Digital mindset as a set of approaches we use to make sense of, and make use of, data and technology.
Once people are able sense data and related technology and figure ways of using them, they see new possibilities and chart a path for the future.
This set of attitudes and behaviors enable people and organizations to see new possibilities and chart a path for the future.
https://www.linkedin.com/pulse/developing-digital-mindset-following-30-rule-tsedal-neeley/
https://hbswk.hbs.edu/item/why-digital-is-a-state-of-mind-not-a-skill-set
Digital Mindset by Tsedal Neeley
Regularly advises top leaders who are embarking on virtual work and large scale-change that involves global expansion, digital transformation, and becoming more agile. Recent work provides remote workers and leaders with the best practices necessary to perform at the highest levels in their organizations.
https://thinkers50.com/biographies/tsedal-neeley/
July 10, 2022
Learn - How to Become Industry 4.0 Digital Manufacturing Champion
Do You Want 55% Increase in Efficiency in the Next 5 Years?
Become Digital Champion.
Possible Efficiency Gains in the Next 5 Years due to Digital Manufacturing
Digital novice - 5%
Digital followers - 15 to 25%
Digital innovator 35 to 45%
Digital champion greater than 55%
Webinar of PWC on Digital Champions 2018
Getting Ready for Industry 4.0
Webinar by Scott Philips
https://www.ecisolutions.com/m1/landing/videos/recorded-webinar-scott-phillips/
Industry 4.0 manufacturing and distribution systems utilize end-to-end digitization and data integration in all information generation, processing, analysis & decision making and communication activities. Industry 4.0 companies offer along with traditional products, digitally enhanced products and digital products/services also. In these production systems there are digital twins, physical assets and virtual assets that are connected and communicate. The connected information systems integrate all suppliers, all customers and all manufacturing and service facilities of the enterprise. Each and every machine and each and every person are connected in these digital manufacturing companies/factories.
Mastering Industry 4.0 implementation and transformation requires initial learning and subsequent deep understanding of the scientific and managerial knowledge and technologies of Industry 4.0 by the complete enterprise staring with the top management. A top management with a compelling vision for the transformation is essential for the company to become a champion.
PWC, one of the top management consultancy organizations did a survey in 2018 about the implementation status of Industry 4.0 and identified digital champions from 1100 companies surveyed. 10 percent of the companies surveyed were classified as digital champion companies.
Four ecosystems are essential in digital manufacturing systems: Customer ecosystem, Operating ecosystem (suppliers, manufacturing facilities, internal logistics, external logistics), Technology ecosystem and People ecosystem.
Customer ecosystem is the basis for exchange of information and value. Integrated operations, technology and people ecosystems serve the customers through the customer ecosystem that is integrated with the other three ecosystems.
Digital champions implement new digital technologies in purposeful manner and deploy them in various application in value creating mode. They are able apply the technologies in multiple applications by employing partners instead of slowing down implementation due to paucity of internal talent.
Artificial intelligence is being used in 9 per cent of companies and its use is increasing. Employees with relevant digital skills are required and they are in short supply. Hence tailored training programs development and organization are crucial. Digital champions have to invest heavily in people development training.
How to Become Industry 4.0 Digital Manufacturing Champion? - Blueprint
1. Invest in Learning Industry 4.0 Knowledge and Skills
2. Conduct an Audit of Four Ecosystems - Customer, Operations, Technology, and People
3. Define Ecosystem Vision and Value Proposition
4. Develop a Model for Each Ecosystem
5. Set Ecosystem Project Investment Decision Board and Encourage Project Proposals
6. Approve Projects and Build EcoSystem Components. Improve Capabilities iteratively
7. Realize the Value of the New Production System
8. Reinvest and Expand Operations
Read the excerpts and download PWC Report from https://www.strategyand.pwc.com/industry4-0
Customer Ecosystem - Subsystems and Components
Products
Complementary Products
Performance Services
Financial Solutions
Digital Technology
Hardware and Infrastructure
Software and Apps
Platform Integration
Third Party Platforms
E Commerce Service
Advanced Customer Services
Demand Signals and Insights
Data Acquisition and Analytics
Multichannel Interaction
Customization of Product and Service
Operations Ecosystem - Subsystems and Components
The Operations ecosystem encompasses the physical activities and flows that support the customer solution offering. These might include product development, planning, sourcing, manufacturing, warehousing, logistics and services. Any external partners that are part of a company’s operations, including contract manufacturers, logistics partners and academia, are part of this ecosystem.
Digital Research and Development
Procurement 4.0
Smart Manufacturing - Connected Manufacturing System
Connected Logistics and Distribution - Smart Warehouses and Trucks
After Sales Services - Digital Channels and Digital Support to Service Professionals
Product Life Cycle Management
Digital Industrial Engineering (Computer Aided Industrial Engineering - CAIE)
(IE redesigns facilities, products and processes to increase productivity)
Persons and Firms as Partners
Research Institutes
Open Innovation Platforms and Participants
Development Partners
Development Stage Component and Material Suppliers
Materials Suppliers
Component Suppliers
Internal Production Facilities
Contract Manufacturers
Inbound Logistics Service Providers
Warehouses and Distribution Centers
Transporters and Last Mile Delivery Centers and Facilities
Repair Centers
Service Providers
Digital Champions - Bosch, Daimler Benz
Digital Transformation at Daimler Benz - Now Daimler is Digital Champion of PWC Survey
Digital Technologies
Blockchain
Sensors
IIoT
3D Printing
Robots
Artificial Intelligence
Augmented Reality
Virtual Reality
Drones
Automated Guides Vehicles
Mobile Devices
Driverless Trucks
Networks and Connectivity
Cloud Computing
Edge Computing
Integrated Platforms
Human Machine Interfaces
User Experience
Data Networks
Integration Layers
Applications
Core ERP
CRM
Integrated Business Planning Models
Manufacturing Execution Systems
Data Analytics
PLM and Digital Twins
2018 Survey
Materials Suppliers
Component Suppliers
Internal Production Facilities
Contract Manufacturers
Inbound Logistics Service Providers
Warehouses and Distribution Centers
Transporters and Last Mile Delivery Centers and Facilities
Repair Centers
Service Providers
Digital Champions - Bosch, Daimler Benz
Digital Transformation at Daimler Benz - Now Daimler is Digital Champion of PWC Survey
The Technology Ecosystem - Subsystems and Components
Digital Technologies
Blockchain
Sensors
IIoT
3D Printing
Robots
Artificial Intelligence
Augmented Reality
Virtual Reality
Drones
Automated Guides Vehicles
Mobile Devices
Driverless Trucks
Networks and Connectivity
Cloud Computing
Edge Computing
Integrated Platforms
Human Machine Interfaces
User Experience
Data Networks
Integration Layers
Applications
Core ERP
CRM
Integrated Business Planning Models
Manufacturing Execution Systems
Data Analytics
PLM and Digital Twins
2018 Survey
At least 90 percent of Digital Champions have already implemented, piloted, or planned some of the most critical current technologies.
• Integrated end-to-end supply chain planning (100 percent of Digital Champions)
• Predictive maintenance of assets and products (96 percent)
• Manufacturing execution systems (94 percent)
• Industrial Internet of Things (97 percent)
• Digital twins, which essentially are virtual versions of physical assets or products, such as factories, that can be used for digitally supported planning, scheduling, and product development, among other
possibilities (94 percent)
• Advanced robotics (90 percent)
By comparison, only about one-third of Digital Novices have adopted the most common operational technologies, like predictive maintenance (39 percent) and integrated supply chain planning (32 percent).
People Ecosystem - Subsystems and Components
Skills - Skill Sources - Mindset and Behavior - Career Development
Skills
Skill Sources
Mindset and Behavior
Career Development
Skills
Skill Sources
Mindset and Behavior
Career Development
Webinar of PWC on Digital Champions 2018
Getting Ready for Industry 4.0
Webinar by Scott Philips
https://www.ecisolutions.com/m1/landing/videos/recorded-webinar-scott-phillips/
Updated 11.7.2022, 11July 2021
Pub 11 July 2018
May 25, 2022
Digital Transformation - News, Principles, Strategies and Rules
Digital Transformation News and Developments
2021
Top trends in digital transformation in 2021
Digital Transformation Principles
2020Digital Transformation Comes Down to Talent in 4 Key Areas
by Thomas H. Davenport and Thomas C. Redman
May 21, 2020
Assembling the right team of technology, data, and process people who can work together — with a strong leader who can bring about change — may be the single most important step that a company contemplating digital transformation can take.
Process management for effectiveness is to be done horizontally, across existing departments (silos), with output focused on customers. Still many organizations find it difficult to reconcile the new approach with traditional hierarchical thinking. As a result, this powerful concept has languished.
https://hbr.org/2020/05/digital-transformation-comes-down-to-talent-in-4-key-areas
2019
Digital transformation: Improving the odds of success
October 22, 2019
https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/digital-transformation-improving-the-odds-of-success
How to design AI tools for the workplace, Amy Lokey, VP of user experience, Google
June 21, 2019
https://qz.com/work/1641696/google-ux-lead-on-getting-ai-right-in-the-workplace/
The Five Rules of Digital Strategy
MAY 29, 2019
By Dan Wald, Romain de Laubier, and Tauseef Charanya
Top 21 Digital Transformation Strategies
https://www.imd.org/imd-reflections/digital-programs-reflections/digital-transformation-strategies/
BCG Digital Transformation
https://www.bcg.com/digital-bcg/digital-transformation/overview.aspx
2018
Unlocking success in digital transformations
October 2018 - McKinsey Survey
The results from successful transformations show that these organizations deploy more technologies than others do
https://www.mckinsey.com/business-functions/organization/our-insights/unlocking-success-in-digital-transformations
2017
Ten Guiding Principles of Digital Transformation
Tanguy Catlin, Johannes-Tobias Lorenz, Bob Sternfels, and Paul Willmott, McKinseyMarch 2017
https://www.mckinsey.com/industries/financial-services/our-insights/a-roadmap-for-a-digital-transformation
Defining value phase
1. Secure senior management commitment
2. Set clear, ambitious targets
3. Secure investment
Prjects and Programs launch and acceleration phase
4. Start with lighthouse projects (projects that offer potential for significant rewards with manageable risk)
5. Appoint a high-caliber launch team
6. Organize to promote new, agile ways of working
7. Nurture a digital culture
Scaling up phase
At 18-months pilot phase, time to scale up up arrives.
8. Sequence initiatives for quick returns
9. Build capabilities
10. Adopt a new operating model
Digital Leadership Principles
Subhinder DhillonCapgemini
2015
Customer is King
Have Plan A, B and C Ready.
Digitalisation with Representation
Ecosystem Control (Participation)
Business with Technology (24/7 business)
Data as Lifeblood (Or at least a new material of the business out of which products and services are made)
Channels of Choice (As per the desires of the customer)
Innovation Never Sleeps
https://www.capgemini.com/2015/06/how-successful-leaders-secure-benefits-from-digital-transformation-8-0/
Digital Transformation Strategy Issues
The seven decisions that matter in a digital transformation: A CEO’s guide to reinvention
By Peter Dahlström, Driek Desmet, and Marc Singer, McKinsey & Co.
February 2017
https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/the-seven-decisions-that-matter-in-a-digital-transformation
The critical decisions occur in the four phases of a successful digital transformation program:
Discovering the ambition for the business based on where value is migrating
Designing a transformation program that targets profitable customer journeys
Delivering the change through an ecosystem of partners
De-risking the transformation process to maximize the chances of success
In each decision, the CEO has a role, from modeling, visualizing and approving the new system to efforts to bring in new behavior in organization that is in tune with the change in strategy.
Important Decisions
1: Where the business should go
2: Who will lead the effort
3: How to ‘sell’ the vision to key stakeholders
4: Where to position the firm within the digital ecosystem
5: How to decide during the transformation
6: How to allocate funds rapidly and dynamically
7: What to do when
Digital Transformation Rules
Six IT Design Rules for Digital Transformation
Break boundaries across IT stacks.
Embrace DevOps
Be open.
Incorporate policy engines.
Induce insights
Insist on user-friendly experiences and tools.
Six IT Design Rules for Digital Transformation
July 19, 2017 Bain Brief
http://www.bain.com/publications/articles/six-IT-design-rules-for-digital-transformation.aspx
15 Rules for Winning During the Age of Digital Transformation
Cognizant Technology Solutionshttp://www.futureofwork.com/article/details/15-rules-for-winning-during-the-age-of-digital-transformation
Five golden rules of digital transformation for CEOs to follow.
LEARN FROM THE OUTSIDE BUT STAY TRUE TO YOUR DNA
FOLLOW THE MAP, TRUST THE TERRAIN
PLACE MANY BETS
DIGITIZE THE ORGANIZATION
BUILD A TALENT PIPELINE
https://www.bcg.com/publications/2017/digital-transformation-digital-organization-ceo-guide-to-digital-transformation.aspx
Updated on 26.5.2022, 14 June 2020, 29 June 2019, 23 January 2018
July 30, 2021
Supply Chain Digitization and Digitalization for Increase in Effectiveness and Efficiency
Increase in Effectiveness increases Revenue, the Top Line
Increase in Efficiency reduces unit cost and comparative total cost.
Supply Chain Digitization and Digitalization have applications that increase effectiveness.
Supply Chain Digitization and Digitalization have applications that increase efficiency
Global Online Certification Course on Supply Chain Digitization and Management
NITIE Online https://www.nitie.ac.in/digital-scm-2021/#1001
End-to-End Supply Chain Transformation
Registrations Open! Last Date for Domestic Participants' Registrations - Jan 10th, 2021
Dates: 16th Jan ’21 – 21st March ’21 (5:30 PM – 7:00 PM IST | Saturday & Sunday)
Download Brochure - Register https://www.nitie.ac.in/digital-scm-2021/#1001
Digitalization
Digitalization is the use and adoption of external digital technologies (i.e. resources (such as machine learning, IoT, big data and blockchain)) by organizations, to improve their supply chain and operational performance.
EDITORIAL
Rethinking supply chains in the age of digitalization
PRODUCTION PLANNING & CONTROL
2020, VOL. 31, NOS. 2–3, 93–95
https://doi.org/10.1080/09537287.2019.1631469
31 Dec 2020 (Last One Week Articles)
https://www.sme10x.com/industry/how-digitization-is-transforming-global-logistics
https://www.quantzig.com/services/supply-chain-analytics
https://www.supplychain247.com/company/capgemini
https://www.globaltrademag.com/digitization-helps-shippers-address-challenges-capture-opportunities/
https://www.supplychainbrief.com/2020/procurement/
https://newsopener.com/entrepreneurs/council-post-bringing-supply-chains-into-the-digital-world/
https://www.livemint.com/brand-stories/digital-is-the-way-forward-in-a-post-covid-world-11609135294441.html
Supply Chain Digitization and Digitalization - 2020 Full Year Articles
https://sloanreview.mit.edu/article/data-not-digitalization-transforms-the-post-pandemic-supply-chain/
Servitization, digitization and supply chain interdependency
Industrial Marketing Management
Volume 60, January 2017, Pages 69-81
https://www.sciencedirect.com/science/article/pii/S0019850116301213
http://www.digitaljournal.com/tech-and-science/technology/accelerating-end-to-end-supply-chain-digitization/article/573403
https://chiefexecutive.net/digital-supply-chain-how-to-drive-value/
Enablers to supply chain performance on the basis of digitization technologies
Himanshu Gupta, Sarangdhar Kumar, Simonov Kusi-Sarpong, Charbel Jose Chiappetta Jabbour, Martin Agyemang
Industrial Management & Data Systems
ISSN: 0263-5577
Publication date: 11 November 2020
https://www.emerald.com/insight/content/doi/10.1108/IMDS-07-2020-0421/full/html
https://www.mmh.com/article/supply_chain_startup_digitizing_the_paper_trail
https://www.weforum.org/agenda/2020/04/supply-chains-resilient-covid-19/
https://www.manufacturingglobal.com/company/henkel-journey-digitalisation-supply-chain
https://www.tandfonline.com/doi/full/10.1080/09537287.2020.1810756
https://ieeexplore.ieee.org/document/9105913
https://www.supplychainquarterly.com/articles/3194-now-is-the-time-to-digitize-your-supply-chain
https://www.dhl.com/gb-en/home/our-divisions/supply-chain/thought-leadership/white-papers/digitalization-and-the-supply-chain.html
https://www.cxooutlook.com/why-the-digitization-of-supply-chain-is-mission-critical-in-current-times/
https://novapublishers.com/shop/digitalisation-of-supply-chain-management-and-firm-performance-structural-equation-modelling-and-empirical-findings/
https://www.ey.com/en_gl/supply-chain/are-you-running-an-analogue-supply-chain-for-a-digital-economy
Supply chain digitisation trends: An integration of knowledge management
Dara G.SchniederjansaCarlaCuradobMehrnazKhalajhedayatia
International Journal of Production Economics
Volume 220, February 2020, 107439
https://www.sciencedirect.com/science/article/pii/S092552731930249X
https://www.cioreview.com/news/how-digitization-is-benefitting-the-supply-chain-management--nid-32590-cid-78.html
https://www.scmr.com/article/capgemini_urges_supply_chain_managers_to_focus_on_digitization
https://www.bcg.com/capabilities/operations/digital-supply-chain
https://www.supplychain247.com/article/the_current_state_of_digital_supply_chain_transformation
https://www.imd.org/research-knowledge/articles/Digitize-supply-chains-but-dont-expect-a-universal-approach/
https://www.supplychainbrain.com/blogs/1-think-tank/post/30975-how-do-we-hasten-supply-chain-digitization
https://www.supplychaindigital.com/supply-chain/what-digitisation-supply-chain
Webinar on Digitizing The Supply Chain
15 Jun 2019
_____________________
https://www.youtube.com/watch?v=opYGrCky3lY
_____________________
The Digitalization of the 21st Century Supply Chain
Stuart M. Rosenberg
Routledge, 09-Nov-2020 - Business & Economics - 252 pages
The goal of this book is to gain a clear picture of the current status and future challenges with regard to the digitalization of the supply chain.
Digitization has touched upon all aspects of businesses, including supply chains. Technologies such as RFID, GPS, and sensors have enabled organizations to transform their existing hybrid (combination of paper-based and IT-supported processes) supply chain structures into more flexible, open, agile, and collaborative digital models. Digital supply chains further improve and enable business process automation, organizational flexibility, and digital management of corporate assets.
The technologies discussed in this text – artificial intelligence, 3D printing, Internet of things, etc. – are beginning to come together to help digitize, automate, integrate, and improve the global supply chains. Both new supply chain professionals and long-time supply chain professionals have to learn the applications of new technologies in supply chain activities.
Table of Contents
Introduction
Part 1. Digitalization of 21st Century Supply Chain with LEAN Methodology
1. Introduction Supply Chain Terminology
2. Just-in-Time
3. Value Stream Mapping
4. Kaizen
5. The Five S’s
6. The Five Why’s
Part 2. Digitalization of Supply Chain Procurement
1. The Reinvention of Procurement
2. The Transformation of Procurement into a Global Force
3. Procurement and Digitalization – Automation
4. Saving Procurement from Itself
5. Procurement and Supply Chain Sustainability
6. Procurement Solutions in the Digital Age
Part 3. Supply Chain Logistics/Transportation
1. What is Logistics
2. Logistics in the 21st Century
3. The Merger of the Physical and Digital Supply Chains
4. 21st Century Digital Logistical Solutions
Part 4. Inventory Management in the Age of Digital Automation
1. How Artificial Intelligence solves the riddles of Inventory Management
2. How Big Data is changing Inventory Management
3. Misconceptions on Managing Inventory in A Digital Driven World
4. Best Practices in Inventory Management in The Digital Age
Part 5. Supply Chain Warehousing in the 21st Century
1. 20th Century Warehouses are Passe
2. How to Keep Up With Distribution Center Automation & Digitalization
3. The Five Steps to A 21st Century Warehouse
Part 6. Supply Chain Demand Planning
1. The Ten Critical differences between 20th Century and the 21st Century Demand Planning
2. Demand Planning Needs to Incorporate More Than……
3. 20th Century Leadership versus 21st Century Leadership
Part 7. Supply Chain Customer Service
1. Contemplating On The History Of Customer Service
2. Customer Service Re-invented for the 21st Century
3. How Will Customer Service be Reinvented for the Digital Age
4. Improving Customer Service in the Age of E-Commerce
5. Customer Focus Innovation
6. Customer First Culture & Alignment
7. Navigating the Internal Politics of Change
Part 8. Supply Chain Predictive Analytics
1. Looking into the Future: Predictive Analytics & Supply Chain
2. Predictive Analytics and Manufacturing
3. Predictive Analytics and Transportation Management Systems
4. Transportation in the Age of Artificial Intelligence
5. The Final Mile Delivery
6. Predictive Analytics and Mainstream Business Tools
7. Using Predictive Analytics to Drive Sales and Customer Service
Part 9. The Role of the Human Factor in the Digitalized Supply Chain
1. Are Human Jobs at Risk with Automation
2. Human Factor Engineering in the Supply Chain
3. Automation Grows, But Will We Still Need People
4.: What Impact will Automation Have On Warehouse Workers
5. The Role of Human Factors on Future of Manufacturing
https://books.google.co.in/books/about/The_Digitalization_of_the_21st_Century_S.html?id=jVYAEAAAQBAJ
Digital Supply Chains: A Practitioner’s Guide to Successful Digitalization
Thomas Mrozek, Daniel Seitz, Kai-Uwe Gundermann, Matthias Dicke
Campus Verlag, 20-May-2020 - Business & Economics - 240 pages
Supply Chain Management is without question deeply affected by the disruptive forces of a modern organization, positively as well as negatively. Between advanced analytics and AI, agile role models and autonomous warehouses a senior executive is often in danger of losing track in the digital jungle. In these exciting times, with their many turning points, digital experts aim to share insights around digital supply chains, their application in business and the so vital transformation to successfully prepare organizations for this challenge. This book provides insights into best practices current supply chain and how CSOs apply technologies and advancements. It also makes daring forecasts about how processes and leadership must be designed so that the digital transformation does not fail in its infancy, but leads to a truly agile organization.
Digital Supply Chains: Key Facilitator to Industry 4. 0 and New Business Models, Leveraging S/4 HANA and Beyond
Götz G. Wehberg
Taylor & Francis Group, 29-Jul-2020 - Business & Economics - 206 pages
"This book provides a practical guide to digital supply chain modelling, demonstrating an agile approach to how they can be applied to any manufacturing company to build competitive advantage, facilitate new business models and drive towards Industry 4.0. The agile approach of the book provides an attractive alternative to the conventional country-by-country deployment of S/4 Hana and other relevant technologies. This book contains the expertise Gèotz Wehberg has amassed over 20 years as a senior partner in a leading consulting company, working across industries and with globally recognized clients, advising on digitization. In it, he explains the scientific roots of digital supply chain management such as Holism, Cybernetics, Self-Organisation and Evolutionary Theory to inform a deep understanding that can drive a supremely innovative strategy for Industry 4.0. Beyond strategy, Wehberg introduces the practical tools and technologies used in supply chain modelling, for example Sensors, Big Data, Artificial Intelligence and the Internet of Things, as well as a reference framework that categorizes the technologies together with the latest concepts and tools like DDMPR, predictive S&OP, Pattern Recognition, Autonomous Logistics, and Lean. This framework supports decision making for developing supply chains in an end-to-end and cross-functional fashion, providing clear guidance for executives and managers on how to design supply chains for the future"--
https://books.google.co.in/books/about/Digital_Supply_Chains.html?id=EDxhzQEACAAJ
Handbook - Technology and Digitization in Supply-Chain Finance
https://www.ifc.org/wps/wcm/connect/industry_ext_content/ifc_external_corporate_site/financial+institutions/priorities/digital+finance/digitization-scf-handbook
Supply chain digitalization: past, present and future
Zahra Seyedghorban, Hossein Tahernejad, Royston Meriton & Gary Graham
(2020)
Production Planning & Control, 31:2-3,
96-114, DOI: 10.1080/09537287.2019.1631461
https://www.tandfonline.com/doi/abs/10.1080/09537287.2019.1631461
Special Issue: Rethinking Supply Chains in the Age of Digitalization
Production Planning & Control
Volume 31, 2020 - Issue 2-3.
https://www.tandfonline.com/toc/tppc20/31/2-3
The Future of Supply chain: A digitized Supply Chain
Shereen Mosallam, March 12, 2018
In digital supply chain the whole system is interconnected like an orchestra to convert from traditional linear model to a digitalized dynamic grid and customers are placed in heart of the supply chain.
Digital supply chain typically consists of:
Digital/ Intelligent planning
Digital sourcing
SMART manufacturing
Digital Logistics/ e-logistics
A digital supply chain steeply leverages intelligence embedded in devices, analytics, external big data sources, and intelligent supply chain software to realize improved customer experience, increased value of products in the markets, generate new revenue streams and new markets and increase high profits.
https://opexsociety.org/body-of-knowledge/the-future-of-supply-chain-a-digitized-supply-chain/
A Classic Taste of Supply Chain Digitization: Coca-Cola
https://thebossmagazine.com/supply-chain-digitization-coca-cola/
https://www.tcs.com/transforming-supply-chain-digitization
https://www.capgemini.com/in-en/2019/05/supply-chain-digitization-vs-digitalization-why-understanding-the-difference-between-the-two-is-still-important/
PWC Services - Digital Transformation of Supply Chain
https://www.pwc.in/consulting/digital-transformation/supply-chain-transformation.html
ud 31 July 2021
pub: 31 Dec 2020
May 31, 2021
Understanding Your Products & Processes Through IoT and Data Analytics
IoT Analytics Service Offerings from Indium
IoT Data Ingestion into a platform (Data Warehouse or Data Lake depending on data volume)
Data Streaming & Refresh – Real-time or Near Real-time
Data Processing – Loading, Cleansing, Transformation & Aggregation
Build Analytical Models based on Machine Learning
Create Visualization & Consumption Layers – Reports/Dashboards & Applications/Portals
The insights gained through our analytics are presented via:
Ad hoc reports: This helps drill down on any parameter and allow for custom reports to be built on the fly.
Alerts: These alerts are based on predefined rules and are generated automatically.
Standard reports: A predefined range of parameters are set, on which insights are provided at regular intervals data preparation
IoT and IIoT Case Studies
TVS Motor
Wiscon Products
https://iiot-world.com/industrial-iot/connected-industry/new-iiot-case-study-with-wiscon-products/
2016
Using IoT Data to Understand How Your Products Perform
HBR June 2016General Electric has announced that it will spend $1 billion dollars onn IoT.
Survey of 795 large companies (average revenue of $22 billion) in North America, Europe, Asia-Pacific, and Latin America by TCS found that average per-company spending on IoT initiatives — was $86 million in 2015. It is projected to grow to $103 million by 2018.
Use of IoT is increasing. Producers are installing sensors in their products.
But, only 6% of companies selling products with less than $100 price tags had embedded wireless sensors in their offerings. In contrast, 54% of companies whose products’ average sales price was between $1 million and $10 million did have digital sensors that communicated product performance back to them.
Four key elements to use IoT to get the ultimate truth on product performance:
1. Getting customers to agree to have their products monitored, which in turn means giving them something of value in return. Customer must have some benefit.
2. Product performance data must be processed and acted upon quickly. Real time data analysis capability has to be developed.
3. A culture that accepts the truth, however bad. Companies have to accept bad performance of their products and communicate to the customer the anticipated problems. Do rectification of them.
4. “Reimagining the business” must become the mantra. It is like reengineering. Now branded as reimagining. Understand the services of IoT offers and redesign your business around the power and potential of IoT. Creative effort to use IoT in innovative way is required to see new things before others or understand what others have done through newspaper or digital media news.
Ud 1 June 2021
18.6.2016
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