https://books.google.co.in/books?id=gXgWEAAAQBAJ
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
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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.
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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.
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Bhimasankaram Pochiraju, Sridhar Seshadri · 2019
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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
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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.
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Lora M. Cecere · 2014
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Iris Heckmann · 2016
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– 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.
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Ãœbungsbuch 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".
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Updated on8.8.2023, 20 July 2021, 9 September 2019, 14 April 2017.
