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.
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.
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.
