Volume 21, Issue 1 (3-2024)                   jor 2024, 21(1): 107-125 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Sedaghat M, Gholamian M R. A Centralized Resource Allocation- NDEA Model to Evaluate the Efficiency of Zamzam Group's Supply Chain. jor 2024; 21 (1) :107-125
URL: http://jamlu.liau.ac.ir/article-1-2175-en.html
A Centralized Resource Allocation- NDEA Model to Evaluate the Efficiency of Zamzam Group's Supply Chain
M. Sedaghat , M. R. Gholamian *
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran , Gholamian@iust.ac.ir
Abstract:   (1093 Views)
Estimating the efficiency of interdependent parts in a company or evaluating related processes in a production system provides insights to improve production performance. In many real-world scenarios, there are situations where all DMUs fall under a centralized decision maker that oversees them. This type of situation occurs when all the units belong to an organization (public or private) that provides the necessary resources to achieve the outputs. Network data envelopment analysis (NDEA) is able to consider the operation and interdependence of the processes in the components of a system to measure performance. Recent advances in network data envelopment analysis models enable decision-making units to learn about inefficient processes in the system. In this research, by using centralized DEA models and NDEA models and according to different approaches regarding the use of intermediate products, standardization for the three-stage supply chain has been discussed. The model presented in this study has been used to evaluate the efficiency of the supply chain of 10 producers of Zamzam Company, and the obtained results have been compared with the decentralized three-stage network model.
Keywords: Network Data Envelopment Analysis, Centralized Resource Allocation, Efficiency, Supply Chain
Full-Text [PDF 1119 kb]   (261 Downloads)    
Type of Study: Research | Subject: Special
Received: 2023/09/12 | Accepted: 2024/01/31 | Published: 2024/03/20
Add your comments about this article : Your username or Email:
CAPTCHA
Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.