Supply Chain Performance Evaluation Supply Chain Performance Evaluation

Supply Chain Performance Evaluation

Application of Data Envelopment Analysis

Farhad Hosseinzadeh Lotfi 및 다른 저자
    • US$139.99
    • US$139.99

출판사 설명

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. 

장르
컴퓨터 및 인터넷
출시일
2023년
5월 2일
언어
EN
영어
길이
456
페이지
출판사
Springer International Publishing
판매자
Springer Nature B.V.
크기
18.3
MB
Advanced Topics in Inverse Data Envelopment Analysis Advanced Topics in Inverse Data Envelopment Analysis
2025년
Analytical Decision Making and Data Envelopment Analysis Analytical Decision Making and Data Envelopment Analysis
2024년
Decision Making in Healthcare Systems Decision Making in Healthcare Systems
2023년
Fuzzy Decision Analysis: Multi Attribute Decision Making Approach Fuzzy Decision Analysis: Multi Attribute Decision Making Approach
2023년
Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis Comparative Efficiency in Data Envelopment Analysis Based on Ratio Analysis
2023년
Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis
2023년