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首页> 外文期刊>International Journal of Services Technology and Management >Synchronisation issue of supply chains: a six-sigma constrained random search approach
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Synchronisation issue of supply chains: a six-sigma constrained random search approach

机译：供应链同步问题：六西格玛约束随机搜索方法

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摘要

Supply Chains (SC) can be viewed as a network of facilities or companies in which an order will flow through various business processes and ultimately reach the customer on time. In such networks, end-to-end material and information flows are optimally and collaboratively managed to create value for the customer and other stakeholders. The delivery performance of such networks can be optimised by pushing the workflow through the system in a way that there is a high probability of final products reaching the end user in specified delivery window. This paper addresses the problem of synchronisation of the business processes in a supply chain with the objective of minimising the total cost involved. A mathematical formulation of the problem is developed to relate the costs involved and the tolerances gained. A Genetic Algorithm (GA)-based heuristic is proposed to achieve the near optimal solution of the problem.
机译：供应链（SC）可以看作是设施或公司的网络，其中订单将流经各种业务流程并最终按时到达客户。在这样的网络中，端到端的物料和信息流得到了最佳的协作管理，从而为客户和其他利益相关者创造了价值。这样的网络的交付性能可以通过在整个系统中推动工作流的方式进行优化，使得最终产品很有可能在指定的交付窗口中到达最终用户。本文旨在解决供应链中业务流程的同步问题，以最大程度地降低总成本。开发了问题的数学公式，以将所涉及的成本和所获得的公差联系起来。提出了一种基于遗传算法的启发式算法，以实现问题的近乎最优的解决方案。

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