Integrating maintenance and production decisions in a hierarchical production planning environment

This article presents a three-part model to evaluate an organization's maintenance policy. In stage one, an aggregate production plan is generated using a linear programming formulation suggested by Chung and Krajewski. In stage two, a master production schedule is developed to minimize the weighted deviations from the goals specified by the aggregate production plan. In stage three, work center loading requirements, determined through rough cut capacity planning using resource profiles, are used to simulate equipment failures during the aggregate production planning horizon. Several experiments are used to test the significance of various factors for maintenance policy selection. These factors include the category of maintenance activity, maintenance activity frequency, failure significance, maintenance activity cost, and aggregate production policy.