Generalized Intuitionistic Fuzzy Flow Shop Scheduling Problem with Setup Time and Single Transport Facility

Abstract

Setup time is the amount of time required for a machine to adjust its settings or the preparation of a device at each stage to process and deliver a completed job. A novel approach for the n-job 2-machine generalized intuitionistic fuzzy flow shop scheduling problem, subject to the setup time, was proposed. When the machines are kept in different places, the transporting and return times of transport play a significant role in the production. Generalized triangular intuitionistic fuzzy numbers were considered to represent the processing, setup, transportation, and return times. This study aims to minimize the intuitionistic fuzzy total production time with less vagueness.

Multi-Objective Production and Scheduling Optimization of Offshore Wind Turbine Steel Pipe Piles Based on Improved Hesitant Fuzzy Method

“…In production, it is necessary to consider how to optimize multiple objectives such as project duration, machine utilization, and total production time in an uncertain environment [23][24][25]. Since fuzzy methods can solve uncertainty problems well, more and more scholars have started to study scheduling problems under various uncertain environments, including uncertain delivery dates, uncertain scheduling start and end times [26][27][28][29][30][31][32]. In terms of multi-objective optimization, fuzzy methods have also been widely used, such as multi-objective optimization priori weighting, multi-stage multiobjective optimization, and constrained multi-objective optimization examples [33][34][35][36][37][38].…”