Supply chain analytics and modelling: quantitative tools and applications
- London Kogan Page Ltd. 2021
- xvii, 303 p.
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.
9780749498603
Business logistics--Data processing Business planning--Data processing Industrial management--Mathematical models