Using mixed integer -linear program and simulated annealing in preventive maintenance scheduling: A case study of a high-tech manufacturing factory

Abstract

It is undeniable that preventive maintenance (PM) is extremely significant in industry capital because of its direct relationship to manufacturing continuity. This research aims to offer a practical automated system to assist in the preventive maintenance planning process. A mixed integer-linear programming (MILP) model was created and solved by CPLEX with a small dataset to give the best optimal solution. In addition, Python code is also created based on Simulated annealing algorithm (SA) to deal with big instances of data for shortening computation time while enduring the solution quality. Practically, preventive maintenance planning becomes totally automatic as a result of the use of a coding program, minimizing the risk of miscalculation, lowering the time, and not needing a huge manpower to