Liner Supplier Selection Using Analytic Hierarchy Process

Authors

  • Mohd Kamal Mohd Nawawi School of Quantitative Sciences, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia
  • Vignesh Devar Kumar School of Quantitative Sciences, Universiti Utara Malaysia, 06010 UUM Sintok, Kedah, Malaysia
  • Suliadi Firdaus Sufahani Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia, Pagoh Campus, 84600 Pagoh, Johor, Malaysia
  • Kamarul Azhar Abdullah Perunding KAZA, 40-1, Jalan Pekaka 8/3, Seksyen 8, Kota Damansara, 47810 Petaling Jaya, Selangor, Malaysia

Abstract

This study is conducted at one of the largest nitrile glove manufacturers in Malaysia. The company is facing some problems with delayed containers. This problem directly affects the company’s profit. The objectives of this study are to identify the company requirement that is expected to get to be fulfilled by the liner, to determine the priority for possible solutions and efficient decisions using Analytic Hierarchy Process (AHP), and to rank the suppliers who fulfilled the requirement and choose the best supplier. By choosing the best solution to pick the best liner supplier, the company can evaluate how to implement a correct solution due to some criteria such as responsiveness, features, price, quality, estimate-time of departure (ETD), and detention to ease the operations. Using AHP methodology, a liner supplier known as MA was found to be the best with the five criteria: responsiveness, features, price, quality, and ETD. This solution can reduce the operational cost for the container and can deliver the goods on time to customers. Furthermore, it can increase the satisfaction level of customers and it also builds a good reputation for the company.

Keywords:

Analytic hierarchy process, liner supplier selection, multi-criteria decision making

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Published

2023-04-10

How to Cite

Mohd Kamal Mohd Nawawi, Vignesh Devar Kumar, Suliadi Firdaus Sufahani, & Kamarul Azhar Abdullah. (2023). Liner Supplier Selection Using Analytic Hierarchy Process. Applied Mathematics and Computational Intelligence (AMCI), 12(1), 43–54. Retrieved from https://ejournal.unimap.edu.my/index.php/amci/article/view/205