Abstract
The scheduling problem in a job shop production environment is characterized by containing n jobs to be processed by m machines, where each job is represented by a specific sequence of operations with an established precedence order. The aim of this work is to perform a comparative analysis of the mathematical formulations for this environment by minimizing the makespan, i.e., the total time to complete all n jobs. Popular models and a proposed model are compared and evaluated through computational tests using cases from the literature. In addition, resolution strategies are proposed. Computational experiments using a well-known commercial software package indicate that the proposal strategies can promote a reduction of the optimality gap.
Keywords:
Job shop; Scheduling; Makespan; Mixed integer linear programming models