Simulation-based system dynamics optimization modelling of supply chain working capital management under lead time uncertainty

Simulation-based system dynamics optimization modelling of supply chain working capital management under lead time uncertainty
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基于仿真的交付时间不确定性下供应链营运资金管理的系统动力学优化建模

DOI:
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发表时间:
2018
期刊:
2018 International Conference on Intelligent Systems (IS)
影响因子:
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通讯作者:
Ronan Mclvor
Ronan Mclvor
中科院分区:
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文献类型:
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作者:
Ehsan Badakhshan;P. Humphreys;L. Maguire;Ronan Mclvor

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营运资金管理(WCM)旨在通过管理库存、应收账款和应付账款来提高公司的运营效率。由各种实体组成的供应链网络,例如供应商,制造商,它们相互协调,以便在正确的时间将成品交付给客户。公司将投入原材料的一美元转换为从客户那里收取的一美元所需的平均天数被定义为现金转换周期(CCC)。低CCC意味着公司为业务运营提供资金的财务成本较低。不言而喻,所有的企业都愿意通过降低CCC来降低其财务成本,然而对于供应链各层级来说,CCC的最小化是冲突的,因为一个企业的应付期是另一个企业的应收期。在本文中,基于仿真的优化(SBO)模型,使供应链成员之间的冲突现金转换周期最小化之间的权衡,通过寻找最佳值的财务和库存决策参数。研究结果表明,采用最优的库存和财务决策参数可以显著降低供应链实体的成本费用。
Working capital management (WCM) seeks to improve the efficiency of a firm’s operation through managing its inventory, accounts receivable, and accounts payable. Supply chain networks composed of various entities, e.g. supplier, manufacturer, which coordinate in order to deliver the finished product to the customer at the right time. The average days that it takes for a company to convert a dollar invested in raw material into a dollar collected from customer is defined as cash conversion cycle (CCC). A low CCC implies that the company has lower financial cost to fund its business operation. It goes without saying that, all firms are willing to decrease their financial cost through diminishing CCC, however minimization of the CCC for the supply chain echelons are in conflict, as one firm’s payable period is another firm’s receivable period. In this paper, a simulation- based optimization (SBO) model is developed to make trade-offs between conflicting cash conversion cycle minimizations for supply chain members through finding optimal values to the financial and inventory decisions parameters. The results indicated that CCC of the supply chain entities can be decreased significantly by employing optimal values of inventory and financial decisions parameters.