<p><b>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. </b><br><br>However, practitioners and students in the field of supply chain management face a number of challenges when dealing with business models and mathematical modelling. <b><i>Supply Chain Analytics and Modelling</i></b> 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.<br><br><b><i>Supply Chain Analytics and Modelling</i></b> 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 wi