Multi-criteria Evaluation of Assortment and Suppliers in E-commerce

In a rapidly changing e-commerce environment, effective supplier selection and inventory management are critical to maintaining competitive advantage and operational efficiency. This book introduces innovative multi-criteria decision-making models (MCDMs) and improved inventory classification systems tailored specifically for online retail environments.

Combining theory and research-based case studies, the book highlights the importance of comprehensive criteria in supplier and assortment evaluation and the application of artificial intelligence in optimising decision models. It provides valuable insights and practical solutions for improving supply chain performance and inventory management in the e-commerce sector. It will be of great interest to scholars and students of logistics and e-commerce and supply chain management.

Explores supplier evaluation and inventory management as critical to operational efficiency in e-commerce Introduces a model based on multi-criteria decision-making (MCDM) and improved inventory classification Combines theoretical analyses and real-world case studies

Autorentext

Grzegorz Chodak is an Associate Professor at the Department of Artificial Intelligence, Wrocaw University of Science and Technology, Poland. His research interests are in inventory management systems, and the applications of artificial intelligence in business. He has published broadly on e-commerce.

Klappentext

This is an interesting book in the area of inventory level optimisation and supplier evaluation in e-commerce. It uses innovative tools, including advanced artificial intelligence techniques, to increase efficiency and competitiveness. In addition to the methodological basis, it also contains examples of the application of the proposed models on real data. Highly recommended to researchers, but also to business managers.

Ryszard Knosala, President of the Polish Association for Production Management

This work is of great value to those interested in e-commerce logistics. It develops both overarching models and presents detailed proposals. Furthermore, the recommended approach has been successfully tested in practice. This important book is therefore highly recommended for both scientists and practitioners.

Richard C. Geibel, Professor, IU International University and Managing Director of the E-Commerce Institute, Germany

In a rapidly changing e-commerce environment, effective supplier selection and inventory management are critical to maintaining competitive advantage and operational efficiency. This book introduces innovative multi-criteria decision-making models (MCDMs) and improved inventory classification systems tailored specifically for online retail environments.

Combining theory and research-based case studies, the book highlights the importance of comprehensive criteria in supplier and assortment evaluation and the application of artificial intelligence in optimising decision models. It provides valuable insights and practical solutions for improving supply chain performance and inventory management in the e-commerce sector. It will be of great interest to scholars and students of logistics and e-commerce and supply chain management.

Grzegorz Chodak is an Associate Professor at the Department of Artificial Intelligence, Wrocaw University of Science and Technology, Poland. His research interests are in inventory management systems, and the applications of artificial intelligence in business. He has published broadly on e-commerce.

Inhalt

1. Introduction.- 2. Inventory management in online store strategy overview.- 3. Supplier evaluation set of criteria for e-commerce.- 4. Multi-criteria model of supplier evaluation for e-commerce.- 5. The criteria for ABC inventory classification in e-commerce.- 6. Multi-criteria ABC classification model for e-commerce.