04078nam a22004455i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001100153072001800164072002300182072001700205100007900222245015800301250001800459264007900477300006300556336002600619337002600645338003600671347002400707490006200731505033900793520210001132650002403232650002503256650001503281650002903296650003103325710003403356773002603390776003603416776003603452776003603488830006203524856004603586978-3-031-78716-4DE-He21320251030114934.0cr nn 008mamaa250129s2024    sz |    s    |||| 0|eng d  a97830317871647 a10.1007/978-3-031-78716-42doi 4aHD38.5 7aKJMV92bicssc 7aBUS0870002bisacsh 7aKJMV92thema1 aChodak, Grzegorz.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aMulti-criteria Evaluation of Assortment and Suppliers in E-commerceh[electronic resource] :bOperational Efficiency and Advantage /cby Grzegorz Chodak.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Palgrave Macmillan,c2024.  aXIX, 167 p. 7 illus., 6 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aPalgrave Studies in Logistics and Supply Chain Management0 a1. 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.  a“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. 0aBusiness logistics. 0aElectronic commerce.14aLogistics.24aSupply Chain Management.24ae-Commerce and e-Business.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303178715708iPrinted edition:z978303178717108iPrinted edition:z9783031787188 0aPalgrave Studies in Logistics and Supply Chain Management40uhttps://doi.org/10.1007/978-3-031-78716-4