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Multi-criteria Evaluation of Assortment and Suppliers in E-commerce [electronic resource] : Operational Efficiency and Advantage / by Grzegorz Chodak.

By: Contributor(s): Material type: TextSeries: Palgrave Studies in Logistics and Supply Chain ManagementPublisher: Cham : Springer Nature Switzerland : Imprint: Palgrave Macmillan, 2024Edition: 1st ed. 2024Description: XIX, 167 p. 7 illus., 6 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031787164
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • HD38.5
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: “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.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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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.

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Biblioteca Universității "Dunărea de Jos" din Galați