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Supply Chain Performance Evaluation

Application of Data Envelopment Analysis

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  • © 2023

Overview

  • Focuses on network structure evaluation of supply chains with data envelopment models
  • Presents the basic definitions in supply chain and supply chain management
  • Explains data envelopment analysis and classical DEA models and network models without prior knowledge

Part of the book series: Studies in Big Data (SBD, volume 122)

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Table of contents (10 chapters)

Keywords

About this book

The authors of this book tried to make these experiences available to those interested, considering the experience of several years of training, research, and implementation of projects in the supply chain performance evaluation field.

This book intends to identify the current performance and competitive position of that supply chain compared to other supply chains by presenting and reviewing the techniques and models for measuring the efficiency and performance of the supply chain. Determining the performance of a supply chain is a good description of the status quo (what is). Determining the performance of a supply chain is useful for describing the past and present of supply chain processes, and on the other hand, it can be used to set performance goals and initiate the improvement process. To realize this, a strategic framework or model is needed to be able to extract indicators related to the efficiency of the supply chain and design the appropriate model.



Authors and Affiliations

  • Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Farhad Hosseinzadeh Lotfi

  • Department of Software Engineering, Istinye University, Istanbul, Türkiye

    Tofigh Allahviranloo

  • Department of Industrial Management, Faculty of Economics and Management, Shiraz Branch, Islamic Azad University, Shiraz, Iran

    Morteza Shafiee

  • Department of Mathematics, Faculty of Science, Central Tehran Branch, Islamic Azad University, Tehran, Iran

    Hilda Saleh

Bibliographic Information

  • Book Title: Supply Chain Performance Evaluation

  • Book Subtitle: Application of Data Envelopment Analysis

  • Authors: Farhad Hosseinzadeh Lotfi, Tofigh Allahviranloo, Morteza Shafiee, Hilda Saleh

  • Series Title: Studies in Big Data

  • DOI: https://doi.org/10.1007/978-3-031-28247-8

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-28246-1Published: 03 May 2023

  • Softcover ISBN: 978-3-031-28249-2Published: 04 May 2024

  • eBook ISBN: 978-3-031-28247-8Published: 02 May 2023

  • Series ISSN: 2197-6503

  • Series E-ISSN: 2197-6511

  • Edition Number: 1

  • Number of Pages: XIV, 442

  • Number of Illustrations: 39 b/w illustrations, 50 illustrations in colour

  • Topics: Data Engineering, Supply Chain Management, Computational Intelligence, Big Data

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