Efficient methods for scheduling make-to-order assemblies under resource,assembly area and part availability constraints |
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Authors: | R. Kolisch K. Hess |
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Affiliation: | School of Business and Administration , Northeastern University , Shenyang, Liaoning, 110004, China |
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Abstract: | We consider the problem of scheduling multiple, large-scale, make-to-order assemblies under resource, assembly area, and part availability constraints. Such problems typically occur in the assembly of high-volume, discrete maketo-order products. Based on a list scheduling procedure proposed by Kolisch in 1999 we introduce three efficient heuristic solution methods. Namely, a biased random sampling method and two tabu search-based large-step optimization methods. The two latter methods differ in the employed neighbourhood. The first one uses a simple API-neighbourhood while the second one uses a more elaborated so-called 'critical neighbourhood' which makes use of problem insight. All three procedures are assessed on a systematically generated set of test instances. The results indicate that especially the large-step optimization method with the critical neighbourhood gives very good results which are significant better than simple single-pass list scheduling procedures. |
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Keywords: | Supply chain Bullwhip effect H∞ control Dynamic model Simulation experiment |
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