Coordinative production and maintenance scheduling problem with flexible maintenance time intervals

This study investigates the simultaneous scheduling of production and planning of maintenance activities in the flow shop scheduling environment. the problem is considered in a bi-objective form, minimizing the makespan as the production scheduling criterion and minimizing the system unavailability as the maintenance planning criterion. we propose the coordinative production and maintenance scheduling model in which the time interval between consecutive maintenance activities as well as the number of maintenance activities on each machine are assumed to be non-fixed. the coordinative model aims to find the best permutation of jobs as the production problem and to assign the maintenance activities into the schedule as the maintenance problem, simultaneously. moreover, a special setting called single server maintenance is introduced and discussed. a bi-objective ant colony system algorithm is presented to solve the problem in focus, introducing some novel ideas. cds and neh heuristics are applied to define the heuristic information part of the proposed algorithm. some experiments are carried out to select the appropriate heuristic method between cds and neh. moreover, some experiments are performed using the well-known taillard benchmark, comparing the performance of the proposed algorithm with another ant colony optimization algorithm. computational experiments indicate the effectiveness of the proposed algorithm.