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Supply Chain Analytics and Modelling
Quantitative Tools and Applications
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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.
About the authors
- This book gives comprehensive insights into business analytics and supply chain modelling, while inspiring views and vision on future trends of supply chain analytics for both students and professionals engaged in the analysis of complex and rapidly changing supply chains. Nicoleta Tipi provides the reader with a practical view on how to utilize advances in supply chain analytics and modelling in order to tackle modern complex supply chain activities which is highly useful for companies to have a competitive edge.
- Dr Sara Elgazzar, Dean of the College of International Transport and Logistics, Arab Academy for Science and Technology and Maritime Transport