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Heuristic-Based Algorithm for Production Planning Considering Allocation Rate Conformance to Prevent Unstable Production Chain

机译:基于启发式的生产计划算法考虑分配率一致性,以防止不稳定的生产链

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This study solved the problem of unstable production chains by considering allocation rate conformance. We pro- posed two phased algorithm suitable for solving production planning that considers allocation rate conformance; the first phase was heuristic initial solution generation, and the second phase was tabu-search based solution improve- ment. By using three data sets which have different sizes of data and three different criteria, the results of proposed algorithm were compared with MIP results. The proposed algorithm showed the best production plan in terms of allo- cation rate conformance, and it was appropriate for other criteria; it solved the problem of unstable production chains by solving concentrated and unfair allocation.
机译:本研究通过考虑分配率一致性解决了不稳定的生产链的问题。 我们提出了两个相平算法,适用于解决考虑分配率一致性的生产规划; 第一阶段是启发式初始解决方案生成,第二阶段是基于禁忌搜索的解决方案改进。 通过使用具有不同尺寸的三种数据和三个不同标准的三个数据集,将所提出的算法的结果与MIP结果进行了比较。 该算法在阳离子率一致性方面显示了最佳的生产计划,适用于其他标准; 通过解决集中和不公平的分配解决了不稳定的生产链问题。

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