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.Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Nicoleta Tipi is Senior Lecturer in Operations and Supply Chain at the Open University, UK. She was previously Senior Lecturer at the University of Huddersfield where she gained experience lecturing in the area of supply chain modelling and logistics operations. Nicoleta Tipi has considerable industry experience, having worked in different roles involving modelling and analytics for Unilever.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. 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. 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. Harness data within the supply chain using this accessible guide on how to examine, evaluate and apply business analytics models. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781398620773
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