Decision support tool for group job-shop scheduling problems

This paper presents a new tool for group job-shop scheduling problems. The tool encompasses a dynamic Pareto-optimal method based on two criteria simultaneously: relative setup expenditure criterion and average orders utility criterion. In this method the concept of production intensity as a dynamic production process parameter is used. The software used allows scheduling for medium quantity of jobs. The result of software application is the set of non-dominant versions proposed to a user for making a final choice. Based on this model, a decision support tool (DST) called OptJobShop is used for scheduling optimization. The decision support tool provides for scheduling simulation with various initial parameters, comparison of different scheduling versions and choice of the final decision.