Supply Chain Analytics and Modelling

Nicoleta Tipi

ISBN 10: 0749498609 / ISBN 13: 9780749498603

Edité par Kogan Page Ltd, GB, 2021

A propos de cet article

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.

N° de réf. du vendeur LU-9780749498603

Détails bibliographiques

• Titre: Supply Chain Analytics and Modelling
• Éditeur: Kogan Page Ltd, GB
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 0749498609
• ISBN à 13 chiffres: 9780749498603
• Reliure: Paperback
• Édition: 1st.
• État de l'article: New
• Dimensions: 6,22 L x 0,79 H x 9,25 P (en pouces) 6,22 pouces de largeur par 0,79 pouces de hauteur par 9,25 pouces de profondeur
• Poids: 495 grammes

A propos de ce titre

Synopsis

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.

À propos de l?auteur

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.