04423nam a22005295i 4500 978-3-031-78716-4 DE-He213 20251030114934.0 cr nn 008mamaa 250129s2024 sz | s |||| 0|eng d 9783031787164 978-3-031-78716-4 10.1007/978-3-031-78716-4 doi HD38.5 KJMV9 bicssc BUS087000 bisacsh KJMV9 thema Chodak, Grzegorz. author. aut http://id.loc.gov/vocabulary/relators/aut 75824 Multi-criteria Evaluation of Assortment and Suppliers in E-commerce [electronic resource] : Operational Efficiency and Advantage / by Grzegorz Chodak. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Palgrave Macmillan, 2024. XIX, 167 p. 7 illus., 6 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Palgrave Studies in Logistics 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. “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, Wrocław 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. Business logistics. 61225 Electronic commerce. Logistics. 68350 Supply Chain Management. 66371 e-Commerce and e-Business. SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031787157 Printed edition: 9783031787171 Printed edition: 9783031787188 Palgrave Studies in Logistics and Supply Chain Management 72409 https://doi.org/10.1007/978-3-031-78716-4 ZDB-2-BUM ZDB-2-SXBM 66562 66562