Integration of Data Envelopment Analysis with Analytical Hierarchy Process and Entropy Measurement in the Optimization of Supplier Selection

IF 0.3 Q4 MATHEMATICS

Matematika Pub Date : 2023-04-15 DOI:10.11113/matematika.v39.n1.1391

Nur Rasyida Mohd Rashid, Bushra Abdul Halim, Iskandar Shah Mohd Zawawi, Husna Nadzirah Abdullah, Nur Iylia Antasha Abu Hassan, Nur Atikah Ismail

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引用次数: 0

Abstract

Supplier selection is perceived as important decision-making process in any supply chain management. In this study, the best supplier for a company is being determined based on five main criteria chosen which are delivery, capacity, warranty, cost, and quality. The Analytic Hierarchy Process (AHP) and Entropy Measurement (EM) methods are integrated with Data Envelopment Analysis (DEA) was applied to set ranking and choose the best supplier as conventional DEA is not able to provide complete ranking among inefficient units. The mathematical modelling is executed using LINGO software. Supplier 3 has obtained efficient result of score 1 for both hybrid method and in Super Efficiency method as the most efficient supplier. Then, the results are validated using Spearman’s Rank Correlation Coefficient (SRCC) which shows positive correlation between both integrated methods. Finally, findings of this study indicate the feasibility of integrated AHP-DEA and EM-DEA for supplier selection with multiple criteria.

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供应商选择优化中的数据包络分析与层次分析法和熵测度相结合

供应商选择被认为是任何供应链管理中的重要决策过程。在这项研究中，一个公司的最佳供应商是根据五个主要标准来确定的，这五个标准是交货，能力，保修，成本和质量。针对传统的数据包络分析(DEA)无法对效率低下的单位进行完整的排序，将层次分析法(AHP)和熵测度法(EM)相结合，采用数据包络分析(DEA)进行排序和最佳供应商选择。利用LINGO软件进行数学建模。供应商3作为效率最高的供应商，在混合方法和超效率方法下均获得了1分的效率结果。然后利用Spearman等级相关系数(SRCC)对结果进行验证，结果表明两种综合方法之间存在正相关。最后，本文的研究结果表明了AHP-DEA和EM-DEA集成的多准则供应商选择的可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Matematika MATHEMATICS-

自引率

25.00%

发文量

审稿时长

24 weeks