Performance Evaluation of Supply Chains of Polyethylene Pipes Using Fuzzy Network Data Envelopment Analysis

Supply chain is a network consists of several parts and their inter-relationships. To achieve continuous improvement in supply chain, it is necessary to continually evaluate supply chain performance. One of the important points in evaluating the performance, identify weaknesses subunits, considering...

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Bibliographic Details
Main Authors: Saber Shiripour, Ameneh Adib
Format: Article
Language:fas
Published: Allameh Tabataba'i University Press 2019-07-01
Series:Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
Subjects:
Online Access:http://jims.atu.ac.ir/article_10101_b872ead920ae83ff87e77fe2e1eb2992.pdf
Description
Summary:Supply chain is a network consists of several parts and their inter-relationships. To achieve continuous improvement in supply chain, it is necessary to continually evaluate supply chain performance. One of the important points in evaluating the performance, identify weaknesses subunits, considering the relations between the units in system management and balance between the sectors. In this paper, Network Data Envelopment Analysis technique is used for performance evaluation. Identification of inefficient units in the supply chain and improve their performance is of utmost importance. Since the supply chain is made up of different units, improving several unit is impossible. So, setting priorities is necessary to improve the unit. In addition, the selection of Pattern units is important to get an idea on how to improve inefficient units. So, in this work, using Fuzzy Data, a systematic method is defined for benchmarking supply chain, which in addition to evaluating the performance of the entire supply chain and determine efficient and inefficient decision making units, the efficiency of each of the parts of the supply chain is also calculated. This method is used for performance evaluation of the supply chains of Polyethylene pipes and so the communications and the processes of internal wards of their supply chain is reviewed. In the end, using benchmarking technique, improvement priorities are determined for different levels of the supply chain.
ISSN:2251-8029