Mathematical Programming and Metaheuristics for Solving Continuous-Time Scheduling Optimization Problems in Low-Volume Low-Variety Production Systems

Despite prominent scholarly advancements in the field of operations research, limited literature has been reported on mathematical and heuristic approaches for schedule low-volume low-variety production systems. This paper proposes a new approach modeling solving large-scale sequencing scheduling problems Low-Volume Low-variety The proposed non-linear programming models genetic algorithms are subject to time resource constraints, aimed at maximizing number activities completed in-station or intended minimize positive deviation aspiring resources budgets, scenarios where allocated work package must be in-station. compatible with discrete continuous-time found effective characteristics constraints inherent Low-Volume, Low-Variety To validate models, real-world case study center final assembly line private jet aircraft is conducted.