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Supply chain analytics and modelling: quantitative tools and applications

By: Material type: TextTextPublication details: Kogan Page Ltd. London 2021Description: xvii, 303 pISBN:
  • 9780749498603
Subject(s): DDC classification:
  • 658.70285 TIP
Summary: About the book 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.
List(s) this item appears in: Operation & quantitative Techniques | IT & Decision Sciences
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Book Book Indian Institute of Management LRC General Stacks Operations Management & Quantitative Techniques 658.70285 TIP (Browse shelf(Opens below)) 1 Available 003697

Table of content

Chapter - 01: Introduction to business analytics;Chapter - 02: The role of modelling in the supply chain;Chapter - 03: The role of data in the supply chain;Chapter - 04: Big data and data visualization;Chapter - 05: Supply chain performance measurement systems;Chapter - 06: Business analytics models;Chapter - 07: Supply chain analytics;Chapter - 08: The future of supply chain analytics

About the book
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.

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