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• W4381888647 startingPage "108958" @default.
• W4381888647 abstract "This paper addresses a multi-level lot-sizing and job shop scheduling problem with lot-streaming. In the multi-level production system, workstations receive materials from the lower level, and after some operation, materials are shipped to the next level. Hence, establishing a material balance between the different levels is the most challenging part of multi-level production planning and scheduling. The material balance can be performed with or without lot-streaming. Lot-streaming effectively enables consecutive operations to overlap by splitting a processing lot into several sub-lots. In small-bucket time models, this capability is taken into account by establishing the material balance in each small unit of time (micro-period), which makes the models computationally expensive. In the present work, a novel and much less complicated big-bucket time formulation has been developed, which incorporates lot-streaming considering sequence-dependent setup times and capacitated machines. Computational experiments affirm the promising results of the proposed model compared to the well-known models in the literature. Moreover, two efficient heuristics have been developed for solving larger-size problems. First, the fix-and-relax algorithm as a constructive heuristic is combined with the fix-and-optimize algorithm as an improvement heuristic. Next, a decomposition heuristic is proposed using mixed-integer programming (MIP) and constraint programming (CP) in the master and sub-problem, respectively. The computational results show that the proposed heuristics are very efficient, even in solving large-sized problems." @default.
• W4381888647 created "2023-06-25" @default.
• W4381888647 creator A5039174863 @default.
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• W4381888647 date "2023-09-01" @default.
• W4381888647 modified "2023-10-18" @default.
• W4381888647 title "Multi-level lot-sizing and job shop scheduling with lot-streaming: Reformulation and solution approaches" @default.
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• W4381888647 doi "https://doi.org/10.1016/j.ijpe.2023.108958" @default.
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