Amazon cover image
Image from Amazon.com

Multi-Criteria evaluation of assortment and suppliers in e-commerce: operational efficiency and advantage

By: Material type: TextTextSeries: Palgrave Studies in Logistics and Supply Chain Management (PSLSCM)Publication details: Cham Palgrave Macmillan 2024Description: xix, 167 pISBN:
  • 9783031787157
Subject(s): DDC classification:
  • 658.827 CHO
Summary: 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 (https://link.springer.com/book/10.1007/978-3-031-78716-4)
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)

Table of contents:
Front Matter
Pages i-xix
Download chapter PDF
Inventory Management in Online Store—Strategy Overview
Grzegorz Chodak
Pages 1-34
Supplier Evaluation—Set of Criteria for E-commerce
Grzegorz Chodak
Pages 35-62
Multi-criteria Model of Supplier Evaluation for E-commerce
Grzegorz Chodak
Pages 63-105
The Criteria for ABC Inventory Classification in E-commerce
Grzegorz Chodak
Pages 107-126
Multi-criteria ABC Classification Model for E-commerce
Grzegorz Chodak
Pages 127-155

[https://link.springer.com/book/10.1007/978-3-031-78716-4]

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

(https://link.springer.com/book/10.1007/978-3-031-78716-4)

There are no comments on this title.

to post a comment.

©2025-26 Pragyata: Learning Resource Center. All Rights Reserved.
Indian Institute of Management Bodh Gaya
Uruvela, Prabandh Vihar, Bodh Gaya
Gaya, 824234, Bihar, India

Powered by Koha