ASSESSING THE SUSTAINABILITY OF MANUFACTURING PROCESSES IN THE MANUFACTURE OF TRANSPORT EQUIPMENT, BASED ON FUZZY GREY RELATIONAL ANALYSIS
Olayinka Mohammed Olabanji, Khumbulani Mpofu
Abstract
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Olayinka Mohammed Olabanji, Khumbulani Mpofu
Abstract
Open-access reader
his 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. Keywords Sustainability assessment; Manufacturing Processes; sustainability indicators; Transport equipment manufacturing; Fuzzy Grey Relational Analysis.
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his 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. Keywords Sustainability assessment; Manufacturing Processes; sustainability indicators; Transport equipment manufacturing; Fuzzy Grey Relational Analysis.
Key concepts: Grey relational analysis, Sustainability, Fuzzy logic, Manufacturing, Computer science, Manufacturing engineering, Engineering, Business