A heuristic approach for big bucket multi-level production planning problems
Multi-level production planning problems in which multiple items compete for the same resources frequently occur in practice, yet remain daunting in their difficulty to solve. In this paper, we propose a heuristic framework that can generate high quality feasible solutions quickly for various kinds...
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Veröffentlicht in: | European journal of operational research 2009-03, Vol.193 (2), p.396-411 |
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container_title | European journal of operational research |
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creator | Akartunalı, Kerem Miller, Andrew J. |
description | Multi-level production planning problems in which multiple items compete for the same resources frequently occur in practice, yet remain daunting in their difficulty to solve. In this paper, we propose a heuristic framework that can generate high quality feasible solutions quickly for various kinds of lot-sizing problems. In addition, unlike many other heuristics, it generates high quality lower bounds using strong formulations, and its simple scheme allows it to be easily implemented in the Xpress-Mosel modeling language. Extensive computational results from widely used test sets that include a variety of problems demonstrate the efficiency of the heuristic, particularly for challenging problems. |
doi_str_mv | 10.1016/j.ejor.2007.11.033 |
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ispartof | European journal of operational research, 2009-03, Vol.193 (2), p.396-411 |
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source | RePEc; ScienceDirect Journals (5 years ago - present) |
subjects | Applied sciences Computer Science Exact sciences and technology Heuristic Heuristics Integer programming Integer programming Production planning Heuristics Relax-and-fix Strong formulations Inventory control, production control. Distribution Mathematical models Operational research and scientific management Operational research. Management science Operations Research Production planning Relax-and-fix Strong formulations Studies |
title | A heuristic approach for big bucket multi-level production planning problems |
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