Multi-Criteria Optimization in Operations Scheduling Applying Selected Priority Rules

The utilization of a specific priority rule in scheduling operations flexible job shop systems strongly influences production goals. In context control real practice, performance indicators are evaluated always en bloc. This paper addresses the multi-criteria evaluating five selected conflicting objectives via scalar simulation-based optimization related to applied rule. It is connected discrete-event simulation model system with partially interchangeable workplaces, and it investigates impact three rules—FIFO (First First Out), EDD (Earliest Due Date), STR (Slack Time Remaining). definition objective function, two scalarization methods—Weighted Sum Method Weighted Product Method—are employed model. According observations, rules outperformed FIFO regardless type method for investigated system. results experiments also indicate that evaluation applying relevant identifying effective solutions design space when operations.