Supply Chain Analytics and Modelling

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. 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. 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. Learning is supported by case studies of specialist software packages for each example. Readers are 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 include lecturer slides and solved examples.