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

Matematika

article

Nur Atikah Ismail¹  Nur Rasyida Mohd Rashid²  Bushra Abdul Halim³  Iskandar Shah Mohd Zawawi⁴  Husna Nadzirah Abdullah¹  Nur Iylia Antasha Abu Hassan¹ 

[1] Mathematical Sciences Studies, College of Computing, Informatics and Media, Universiti Teknologi MARA ,(UiTM), Negeri Sembilan Branch, Seremban Campus;Mathematical Sciences Studies, College of Computing, Informatics and Media, Universiti Teknologi MARA ,(UiTM), Negeri Sembilan Branch, Seremban Campus 70300 Seremban;Mathematical Sciences Studies, College of Computing, Informatics and Media, Universiti Teknologi MARA ,(UiTM), Melaka Branch;School of Mathematical Sciences, College of Computing, Informatics and Media, Universiti Teknologi MARA 40450 Shah Alam

关键词: Analytic Hierarchy Process;    Data Envelopment Analysis;    Entropy Measurement;    Supplier Selection;   

DOI  :  10.11113/matematika.v39.n1.1391

学科分类：社会科学、人文和艺术（综合）

来源: Universiti Teknologi Malaysia * Fakulti Sains

【 摘 要 】

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.

【 授权许可】

Unknown