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Home > Computing and Information Technology > Databases > Supply Chain Performance Evaluation: Application of Data Envelopment Analysis(122 Studies in Big Data)
Supply Chain Performance Evaluation: Application of Data Envelopment Analysis(122 Studies in Big Data)

Supply Chain Performance Evaluation: Application of Data Envelopment Analysis(122 Studies in Big Data)


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About the 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.

Table of Contents:
Supply Chain Management.- Performance Evaluation of Supply Chain Management.- Main models and approaches in supply chain evaluation.- Supplier Performance Evaluation Models.- Examining supply chain crises and disruptions.- Data Envelopment Analysis.-  Supplier selection.


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Product Details
  • ISBN-13: 9783031282461
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 235 mm
  • No of Pages: 442
  • Returnable: Y
  • Sub Title: Application of Data Envelopment Analysis
  • ISBN-10: 3031282469
  • Publisher Date: 03 May 2023
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Series Title: 122 Studies in Big Data
  • Width: 155 mm


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