Prioritizing scheduling parameters in the automotive industry using fuzzy TOPSIS-DEMATEL model

Abstract

The Automotive industry is one of the biggest emerging sectors in terms of revenue. Every automotive industry has an indispensable need for optimum manufacturing scheduling systems for generating good revenues and profits. This need can be pulled off by identifying and prioritizing the scheduling parameters. Multi-criteria decision making (MCDM) is one of the best techniques of operation research in selecting the best parameters or factors among the various alternatives. This study includes the identification and prioritization of the various important scheduling parameters (SPs) in the Indian automotive industry. The twelve scheduling parameters have been identified in this study and these parameters are prioritized by the fuzzy- Technique for order preference by similarity to ideal solution (TOPSIS) and Decision Making Trial and Evaluation Laboratory Model (DEMATEL). The expert’s views are gathered from the five automobile industries. Makespan, energy consumption, due date, and travel time are the crucial parameters obtained using Fuzzy TOPSIS. The least important parameters obtained using Fuzzy TOPSIS are work in process, flow time, and release date. The most influential parameters identified using the DEMATEL method are completion time and processing time. This study is valuable for every industry and research organization in the field of the automobile industry.