Evaluation of supply chain of a shipping company in Iran by a fuzzy relational network data envelopment analysis model

被引：5

作者：

Omrani, H. ^{[1
]}

Keshavarz, M. ^{[1
]}

Ghaderi, S. F. ^{[2
,3
]}

机构：

[1] Urmia Univ Technol, Fac Ind Engn, POB 57155-419, Orumiyeh, Iran

[2] Univ Tehran, Coll Engn, Sch Ind Engn, POB 515-14395, Tehran, Iran

[3] Univ Tehran, Coll Engn, Res Inst Energy Management & Planning, POB 515-14395, Tehran, Iran

来源：

SCIENTIA IRANICA | 2018年 / 25卷 / 02期

关键词：

Relational network DEA; Supply chain; Fuzzy data; Efficiency; Two-level mathematical program; EFFICIENCY ANALYSIS; TECHNICAL EFFICIENCY; 2-STAGE DEA; PERFORMANCE; SYSTEMS; RISK; DECOMPOSITION; SIMULATION; TRANSPORT; SELECTION;

D O I：

10.24200/sci.2017.4415

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The existing relational network Data Envelopment Analysis (DEA) models evaluate the performance of Decision Making Units (DMUs) with precise data. Whereas, in the real-world applications, there are many Supply Chain (SC) networks with imprecise and vague figures. This paper develops a relational network DEA model for evaluating the performance of supply chains with fuzzy numbers. The proposed fuzzy model is capable of evaluating the performance of all kinds of network structures. A pair of two-level mathematical programs is utilized to convert the fuzzy relational network DEA to a conventional crisp one. For this purpose, the upper and lower bounds of the efficiencies are calculated by a-cut concept. The proposed model is implemented using actual data from the supply chain of an international shipping company in Iran. (C) 2018 Sharif University of Technology. All rights reserved.

引用

页码：868 / 890

页数：23

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