Article citationsMore >>

Hwang, C. L., & Yoon, K. (1981). Multiple attributes decision making methods and applications. Berlin: Springer.

has been cited by the following article:

Article

Machine Selection by AHP and TOPSIS Methods

1Department of Industrial and Production Engineering, Jessore University of Science and Technology, Bangladesh

2Department of Industrial and Production Engineering, Jessore University of Science & Technology, Jessore, Bangladesh


American Journal of Industrial Engineering. 2016, Vol. 4 No. 1, 7-13
DOI: 10.12691/ajie-4-1-2
Copyright © 2016 Science and Education Publishing

Cite this paper:
Rubayet Karim, C. L Karmaker. Machine Selection by AHP and TOPSIS Methods. American Journal of Industrial Engineering. 2016; 4(1):7-13. doi: 10.12691/ajie-4-1-2.

Correspondence to: Rubayet  Karim, Department of Industrial and Production Engineering, Jessore University of Science and Technology, Bangladesh. Email: rubayet26@gmail.com

Abstract

Selection of the most suitable machine is very crucial in the modern economy to prompt production level as well as revenue generation. In order to endure in the global business scenario, companies must find out the proper way that leads to the successful production environment. Machine selection has become challenging as the number of alternatives and conflicting criteria increase. A decision support system has been developed in this research in machine evaluation process. This framework will act as a guide for decision makers to select the suitable machine via an integrated approach of AHP & TOPSIS. The anticipated methods in this research consist of two steps at its core. In the first step, the criteria of the existing problem are inspected and identified and then the weights of the sector and sub-sector are determined that have come to light by using AHP. In the second step, eligible alternatives are ranked by using TOPSIS. A demonstration of the application of these methodologies in a real life problem is presented.

Keywords