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Full Description
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.
Supply chain practitioners and students 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 the practical knowledge needed to overcome common issues.
This new edition of Supply Chain Analytics and Modelling covers new areas including ongoing technological advancements like digital twins, machine learning, AI and the use of model simulation within the supply chain. Readers are also 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. Learning is supported by online resources that include lecturer slides and solved examples.
Contents
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
