A Cost-Minimization Approach to Production and Maintenance Planning Considering Imperfect Repairs and Human Resource Constraints

Appropriate maintenance procedures are crucial for enhancing system availability and ensuring smooth operation. Reliability engineers and researchers have long sought optimal maintenance plans for technical systems. This research looked at various factors influencing the decision-making process regarding maintenance, including skill level, number of technicians, repair time, and the type of completed repairs, either minimal or partial (incomplete). The study also looked at time and whether a partial or minimal repair should be taken. Considering the above parameters has made the proposed model more realistically applicable. A mixed integer programming model described in this study is intended to reduce production, maintenance, and staff costs. Hence, the research gives finer data to enable one to choose the most appropriate maintenance and repair choices based on the current budget; it would be more realistic to use this model in predicting because it has more considerations when determining spare parts requirements and stock levels.