University of Shanghai for Science and Technology
Aiming at the collaborative optimization problem of interval number re-entrant hybrid flow shop scheduling and preventive maintenance (PM), an integrated scheduling model is constructed, which takes the interval makespan, total carbon emissions and total PM costs as the optimization objectives. For this problem characteristics, the Pareto relation of solution in interval sense is defined by designing the improved possibility calculation method. Besides, an improved discrete whale swarm algorithm is proposed, which designs a synchronous scheduling and maintenance strategy to realize the joint optimization of manufacturing and maintenance; a distance calculation strategy between individuals to find the "nearest better individual"; an individual position movement strategy and a multi-neighbourhood search strategy to effectively balance the global and local search in order to improve the convergence accuracy. Though simulation results and statistical comparison with extensive experiments, the effectiveness and feasibility of the proposed algorithm to solve the collaborative optimization problem of interval number re-entrant hybrid flow shop scheduling and preventiveSmaintenance are shown.