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Response Time Reduction in the Leather Products Manufacturing Industry Using Arena Simulation Method

机译:利用舞台仿真方法响应皮革制造业的响应时间减少

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The purpose of this study is to find the best strategy for products distribution network in terms of response time reduction. The decision making is based on the carriage capacity of the cars relative to the transportation time and cost records. The response time for the service delivered in the manufacturing company is not optimum and customers are always in complaint. Thus, due to high transportation cost and long time delivery, the institutional customers of the company were also influenced by response time to get the products on time. Optimum transportation time and cost has improved company's competitive strategy during last decades undoubtedly. As premises of this, transportation cost and times are the two variable used to determine the best strategy among the alternatives. A lot of mathematical models have been applied to do optimization on supply chain networks, but supply chain dynamics, such as uncertainty in production demand and transportation, are not present in most of them. As a result, to handle this variation, simulation can be a powerful tool. In this study, an arena simulation tool is used to analyze system performance using transportation cost and time as the performance parameters. In addition, based on the generated transportation time and cost, a simple mixed integer linear programing (MILP) was developed and Win QSB software has been used to solve and select the best network configuration Finally, the study resulted in strategy 2 has a minimum time and cost. By considering current situation this strategy is able to save the time by nearly 6.5 hours in 30 days.
机译:本研究的目的是在响应时间减少方面找到产品分销网络的最佳策略。决策是基于汽车的载体能力相对于运输时间和成本记录。在制造公司中交付的服务的响应时间不是最佳,客户总是投诉。因此,由于运输成本高,交付长期交付,该公司的机构客户也受到响应时间按时获得产品的影响。最佳的运输时间和成本在过去几十年中,公司的竞争战略毫无疑问。作为此处的场所,运输成本和时间是用于确定替代方案中最佳策略的两个变量。已经应用了许多数学模型来进行供应链网络的优化,但供应链动态,如生产需求和运输中的不确定性,在大多数情况下都不存在。结果,为了处理这种变化,模拟可以是一个强大的工具。在本研究中,竞技场仿真工具用于使用运输成本和时间作为性能参数分析系统性能。另外,基于产生的运输时间和成本,开发了一个简单的混合整数线性编程(MILP),赢得了QSB软件最终用于解决并选择最佳网络配置,研究导致战略2的最短时间和成本。通过考虑当前情况,这一策略能够在30天内将时间储存近6.5小时。

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