Dynamic mutual adjustment search for supply chain operations planning co-ordination
Dynamic mutual adjustment search for supply chain operations planning co-ordination
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DOI：
10.1080/00207543.2012.737952
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发表时间：
2013-05-01
影响因子：
9.2
通讯作者：
Frayret, Jean-Marc
中科院分区：
文献类型：
--
作者：
Taghipour, Atour;Frayret, Jean-Marc
运营计划是所有制造和物流公司都要进行的一项活动。其与供应链合作伙伴的协调旨在同步资源利用，以尽量减少低效率（例如不必要的库存），或通过更好的资源利用来提高收入。这是一个相当复杂的过程，因为合作伙伴有不同的目标，而且信息不对称是任何寻求良好协调解决方案的努力的一部分。此外，由于供应链是在动态和不确定的环境中发展的，一旦实现了运营计划的协调，预测或资源状态等输入数据可能会改变并影响现有计划。这些动态变化不仅需要更新直接受变化影响的计划，而且还需要调整作为同一协调解决方案一部分的所有计划（Stadtler，H. 2009. A framework for collaborative planning and state-of-the-art. OR Spectrum，31（1），530）。因此，制订一套切实可行的协调方法，应该能够应付这些动态变化。本文提出了一种动态的相互调整搜索启发式，它可以用来协调两个独立的供应链合作伙伴的运作计划，链接的材料和非战略信息流。计算分析表明，所提出的方法产生了一个双赢的战略，在两个供应链合作伙伴的背景下，并提高了在每个规划周期的上游规划的结果，也提高了收入共享的公平性相比，最佳的集中规划。
Operational planning is an activity carried out by all manufacturing and logistical companies. Its co-ordination with supply chain partners aims at synchronising resources utilisation in order to minimise inefficiencies, such as unnecessary inventory holding, or in order to improve revenue through better resource utilisation. It is a rather complex process as partners have different objectives and information asymmetry is part of any effort to find good co-ordination solutions. Furthermore, because supply chains evolve in a dynamic and uncertain environment, once a co-ordination of operations plans is achieved, input data, such as forecasts or resources' status, can change and affect on hand plans. These dynamic changes not only require updating the plan that is directly affected by the changes, but it also requires the adjustment of all plans that are part of the same co-ordination solution (Stadtler, H. 2009. A framework for collaborative planning and state-of-the-art. OR Spectrum, 31 (1), 530). Therefore, the development of a practical co-ordination approach should be capable of dealing with these dynamic changes. This paper proposes a dynamic mutual adjustment search heuristic, which can be used to co-ordinate the operations plans of two independent supply chain partners, linked by material and non-strategic information flows. Computational analysis shows that the proposed approach produces a win-win strategy in the context of two supply chain partners, and improves the results of upstream planning in each planning cycle, and also improves the fairness of revenue sharing when compared to optimal centralised planning.