Supply Chain Optimization Through Segmentation And Analytics


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Supply Chain Optimization through Segmentation and Analytics


Supply Chain Optimization through Segmentation and Analytics

Author: Gerhard J. Plenert

language: en

Publisher: CRC Press

Release Date: 2014-04-01


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We live in a world where we try to solve similar problems in structurally the same way. But they simply are not optimally solved all the same. Supply Chain Optimization through Segmentation and Analytics addresses the issue of optimizing the planning and scheduling process and asks the question; "Is there a ‘one size fits all’ solution for planning and scheduling?" The answer is a resounding "No!" We migrated through EOQ, MRP, JIT, and TOC, each time hoping to find that one size fits all. Each of these systems looked at the facility as if it had one focused problem, either optimizing work schedules, materials movement, or machine utilization. But what if you have two, or possibly even all three of these problems? Then what system do you use? Or what if your critical resource is not labor, materials, or machinery? 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. If you have one type of problem in a part of your supply chain, you use the solution that appropriately focuses on that problem. If you have a different problem in a different part of your supply chain, then you use a different and appropriate tool for that part of the supply chain, and so forth. Or, if your product is in different stages of its life cycle, it probably requires a different set of tools for each stage of that life cycle. In addition, the book discusses how to integrate planning and scheduling tools using a segmentation approach that results in a world-class supply chain environment. It clearly details the power of segmentation and offers a systematic plan for implementation in the supply chain. To facilitate this, the author covers the components of an integrated segmentation policy, including the analytics elements and the measures that define segmentation success. He helps you build a strategy and methodology for introducing segmentation principles that allow you to break free from "one size fits all" thinking.

Supply Chain Optimization through Segmentation and Analytics


Supply Chain Optimization through Segmentation and Analytics

Author: Gerhard J. Plenert

language: en

Publisher: CRC Press

Release Date: 2014-04-01


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Supply Chain Segmentation (SCS) has become a critical tool in optimizing supply chain performance. By using segmentation, an organization is taken out of the world of one size fits all and brought into a world that facilitates customized responses. This book explains what SCS is, how it works, and the role of analytics. The book gives detailed case studies demonstrating how SCS is applied and improves efficiency. It covers software appropriateness and integration, as well as a full summary perspective on segmentation and its competitive impacts in terms of economic pressure, supplier and consumer interfaces.

Supply Chain Analytics and Modelling


Supply Chain Analytics and Modelling

Author: Nicoleta Tipi

language: en

Publisher: Kogan Page Publishers

Release Date: 2021-04-03


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An incredible volume of data is generated at a very high speed within the supply chain and it is necessary to understand, use and effectively apply the knowledge learned from analyzing data using intelligent business models. However, practitioners and students in the field of supply chain management face a number of challenges when dealing with business models and mathematical modelling. 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 and Modelling covers areas including supply chain planning, single and multi-objective optimization, demand forecasting, product allocations, end-to-end supply chain simulation, vehicle routing and scheduling models. Learning is supported by case studies of specialist software packages for each example. Readers will also be provided with a critical view on how supply chain management performance measurement systems have been developed and supported by reliable and accurate data available in the supply chain. Online resources including lecturer slides are available.