An Optimal Workforce Scheduling Policy for Mixture Activities of Preventive and Corrective Maintenance

Abstract

The workforce scheduling and personal assignment concept is very important for all manufacturers. Most of them have to ensure that their staffs will have been fitted to their jobs and responsibilities. Especially, the maintenance approach would be required the amount appropriate staffs for doing both of preventive and corrective maintenance activities. Maintenance scheduling and algorithm concept will be useful for solving and fitting the personal assignment, with neither of overstaffing nor understaffing. Our concept and algorithm has developed from the previous research studies and fulfilled the niches of those studies such as the complying to the labor law (the consecutive day work and day off), the mixture policy of the probabilistic failure rate and deterministic of the staff assignment, the cyclic shift working and equality of the staffs’ day off on the weekend. However, we did not avoid minimizing the worker cost, and utilized the worker activities. So, our algorithm will be a new managerial solution for all manufacturers who have a problem with their maintainability about the staff assignment. Especially, the factories or manufacturers who work 24 hours and 7 days, without any vacations such as airport, mass rapid transit, Just-In-Time manufacturer and so on. Most of them might be gotten the benefit and taken an advantage from this research study. Furthermore, our concept and its algorithm of staff assignment can be applied to the service sector’s personal required for each shift and each day which is conformed to the probabilistic of the customers for each period and each day.