| dc.description.abstract | This article discusses a research study aimed at optimizing multi-objective production
planning for a real-world application in the garment area. This paper proposes a
mathematical model, four types of iterated greedy algorithms, and the variable block
insertion approach for Fuzzy Aggregate Production Planning (APP) with makespan
minimization. A rigorous experimental design is used to determine the parameters of the
suggested algorithms. The constructed model is solved for all cases on CPLEX, and the
performance of the suggested methods is evaluated by comparing the results to CPLEX
and the best-performing algorithms in the literature. Computational findings reveal that the
suggested methods are highly efficient in terms of solution cost and quality. Furthermore,
the suggested algorithms are evaluated for the makespan criterion, revealing their ability
to perform very well for the makespan goal, which is to locate the current incumbent
makespan values documented in literature and present novel best solutions. | en_US |
