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• W2034336861 startingPage "672" @default.
• W2034336861 abstract "This paper investigates an integrated optimisation problem of production scheduling and preventive maintenance (PM) in a two-machine flow shop with time to failure of each machine subject to a Weibull probability distribution. The objective is to find the optimal job sequence and the optimal PM decisions before each job such that the expected makespan is minimised. To investigate the value of integrated scheduling solution, computational experiments on small-scale problems with different configurations are conducted with total enumeration method, and the results are compared with those of scheduling without maintenance but with machine degradation, and individual job scheduling combined with independent PM planning. Then, for large-scale problems, four genetic algorithm (GA) based heuristics are proposed. The numerical results with several large problem sizes and different configurations indicate the potential benefits of integrated scheduling solution and the results also show that proposed GA-based heuristics are efficient for the integrated problem." @default.
• W2034336861 created "2016-06-24" @default.
• W2034336861 creator A5069365665 @default.
• W2034336861 creator A5089625633 @default.
• W2034336861 date "2014-03-25" @default.
• W2034336861 modified "2023-10-15" @default.
• W2034336861 title "Two-machine flow shop scheduling integrated with preventive maintenance planning" @default.
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• W2034336861 doi "https://doi.org/10.1080/00207721.2014.900137" @default.
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