Application of A Multi-Criteria Simulation Optimization Based DSS

摘要

In this study we propose a decision support system for a textile dyeing, printing and finishing workshop. The proposed simulation model itself enables managers to find a schedule of jobs on machines (given a defined combination of decision parameters) which provides the smallest completion time of jobs. We integrate the simulation model, design of experiment and a Goal Programming model in which the significance is to optimize two main objectives of managers: minimizing Makespan and Total tardiness of jobs. Furthermore In this optimization process we develop a regression metamodel including qualitative factors as well as quantitative decision variables. Although we illustrate the performance of the proposed DSS by its application in a small case, this general procedure has this advantage to be applicable in large scale problems.