Improving Efficiency In Production, Maintenance, And Distribution Scheduling By An Enhanced Simheuristic Strategy

Abstract

Production schedule is a specific plan to produce business products at a certain time. This is an essential step for businesses to estimate the actual production capacity of the project. Effective scheduling ensures that resources are used optimally, every movement in manufacturing runs smoothly, and production goals are achieved. However, some factors can significantly impact production schedules, creating challenges for maintaining a smooth process. One of the main influences is the impact of maintenance activities, which are essential for maintaining machinery and equipment but can disrupt production schedules. Additionally, delivery schedules to customers, which include product routing based on distance and time constraints, further complicate the planning process. Production schedules, machine maintenance schedules, and distribution schedules affect each other. If not integrated effectively, it will lead to over or under-utilization of resources, wasting time and costs and reducing productivity, customer satisfaction. To solve this problem, this article proposes Non-domination Sorting Genetic Algorithm to solve the Integrated Production Maintenance Distribution Scheduling Problem (IPMDSP) with the goal of optimizing production activities including transportation costs, maintenance costs and customer satisfaction. The iterative Non-domination Sorting Genetic Algorithm is continued until the termination conditions are met and the optimal result is achieved.