Otimização do planejamento de carga de manutenção preventiva por meio de programação matemática: aplicação a uma linha produtiva de motores

Abstract

The present work addresses the workload-balancing problem of employees who perform preventive maintenance on machining lines for internal combustion engines. The multinational automotive industry is located in the metropolitan region of CuritibaPR. The work proposes the development of a mathematical model in Mixed Integer Linear Programming (MILP) and, based on the results obtained by solving the model in a computational tool (solver), the objective is to obtain improvements in the workload-balancing of employees. To this end, the problem was characterized, the application scope was chosen, the proposal was defined, and details of the machining line were identified. Then, a bibliographical review was carried out, addressing the main concepts related to the balancing of preventive maintenance loads, as well as theoretical references about the mathematical modeling to be used. After that, a methodology was proposed. Thus, the proposed methodology is applied to solve a real case of distribution of more than 1300 maintenance plans, with varying periodicities over an analysis horizon of 156 weeks (3 years). The results obtained show that the maximum difference in workload between weeks indicated by the model solution is less than 2.1% (maximum variation of 1.3 time units), while the solution observed in practice presents variations greater than 98% (maximum variation of 73.9 time units). Thus, the proposed solution approach is promising to aid operational decision making in the context of workload balance of employees who perform maintenance activities.