Abstract
Material Requirements Planning (MRP) systems usually depend on interactive programming software. So, a need arises for computationally efficient lot-sizing procedures. Most of the available lot-sizing procedures are single-level in the sense that they consider only one level at a time. For this reason, they do not provide satisfactory results for multilevel MRP systems. In this study, some multi-level lot-sizing heuristics are proposed to account for the interdependencies among the levels of MRP systems. The multi-level lot-sizing problem is first examined analytically to designate the potential drawbacks of single-pass, sequentially applied single-level approaches. Then, based on this analysis, some cost modification models are suggested to improve the effectiveness of these procedures. The performance of the proposed multi-level heuristics is tested over a wide range of cost and demand parameters. It is concluded that the, cost modification models consistently improve the performance of level-by-level approaches.
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© 1985 Springer-Verlag Berlin Heidelberg
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Dağli, C.H., Meral, F.S. (1985). Multi-Level Lot-Sizing Heuristics. In: Bullinger, HJ., Warnecke, H.J. (eds) Toward the Factory of the Future. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82580-4_48
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DOI: https://doi.org/10.1007/978-3-642-82580-4_48
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