ASSESSING THE SUSTAINABILITY OF MANUFACTURING PROCESSES IN THE MANUFACTURE OF TRANSPORT EQUIPMENT, BASED ON FUZZY GREY RELATIONAL ANALYSIS

Authors

DOI:

https://doi.org/10.7166/33-1-2453

Keywords:

Sustainability assessment, Manufacturing Processes, sustainability indicators, Transport equipment manufacturing, Fuzzy Grey Relational Analysis.

Abstract

This paper presents a sustainability assessment of manufacturing processes for transport equipment, using fuzzy grey relational analysis. The metrics or sub-indicators for sustainability indicators and their relative applications in the manufacturing processes are used to create sustainability matrices, which are then compared with an ideal series in order to determine grades for the processes using the grey relational model. Grades in the form of values are determined for the performances of the manufacturing processes of four different kinds of transport equipment. The grades identified manufacturing processes in which the performance of the sustainability indicators could be improved.

Downloads

Download data is not yet available.

Author Biographies

Olayinka Mohammed Olabanji, Tshwane University of Technology Pretoria West South Africa

Dr. Olabanji Olayinka Mohammed is a Postdoctoral Research fellow in the department of Industrial Engineering Tshwane University of Technology Pretoria West South Africa

Khumbulani Mpofu, Tshwane University of Technology Pretoria West South Africa

He is a Professor of Industrial Engineering in Tshwane University of Technology Pretoria West South Africa

Downloads

Published

2022-05-06

How to Cite

Olabanji, O. M., & Mpofu, K. (2022). ASSESSING THE SUSTAINABILITY OF MANUFACTURING PROCESSES IN THE MANUFACTURE OF TRANSPORT EQUIPMENT, BASED ON FUZZY GREY RELATIONAL ANALYSIS. The South African Journal of Industrial Engineering, 33(1), 39–50. https://doi.org/10.7166/33-1-2453

Issue

Vol. 33 No. 1 (2022)

Section

General Articles

License

Authors who publish in the Journal agree to the following terms:
  1. Authors retain copyright and grant the Journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this Journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the Journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this Journal.