a constraint programming method for advanced planning and scheduling system with multilevel structured products

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ID: 132180
2014
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Abstract
This paper deals with the advanced planning and scheduling (APS) problem with multilevel structured products. A constraint programming model is constructed for the problem with the consideration of precedence constraints, capacity constraints, release time and due date. A new constraint programming (CP) method is proposed to minimize the total cost. This method is based on iterative solving via branch and bound. And, at each node, the constraint propagation technique is adapted for domain filtering and consistency check. Three branching strategies are compared to improve the search speed. The results of computational study show that the proposed CP method performs better than the traditional mixed integer programming (MIP) method. And the binary constraint heuristic branching strategy is more effective than the other two branching strategies.
Reference Key
peng2014discretea Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Yunfang Peng;Dandan Lu;Yarong Chen
Journal Journal of the American Heart Association
Year 2014
DOI
10.1155/2014/917685
URL
http://dx.doi.org/10.1155/2014/917685
Keywords
mathematics

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