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Optimized Production Control Policy for Hybrid MTS-MTO Glass Tube Manufacturing Using Simulation-Based Optimization

机译:使用基于仿真的优化来优化MTS-MTO混合玻璃管制造的生产控制策略

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The declining demand for fluorescent lamps, along with a recent currency floatation, forced a major glass tube manufacturer in Egypt to adopt a mixed Make-to-Stock (MTS) - Make-to-Order (MTO) strategy. In this research, a production control policy is proposed to effectively guide the involved product-mix decisions towards reducing the total cost. A simulation model is developed which is divided into three interconnected modules, namely decision, production, and order fulfillment. Along with the simulation model, a randomized search algorithm is applied to find appropriate values for the control variables of the proposed policy. Results provide evidence for the effectiveness of the proposed production control policy in reducing the total cost. Sensitivity analyses are conducted to investigate the effects of raw material and energy prices on the production parameters and the control variables of the proposed policy. It is found that the increase in raw material prices influences the production parameters; however, it does not affect the control variables of the proposed policy. On the other hand, the increase in energy prices influences both.
机译:荧光灯需求的下降,加上最近的货币浮动,迫使埃及一家主要的玻璃管制造商采取按库存生产(MTS)-按订单生产(MTO)的混合策略。在这项研究中,提出了一种生产控制策略,以有效地指导所涉及的产品组合决策,以降低总成本。开发了一个仿真模型,该模型分为三个相互关联的模块,即决策,生产和订单执行。与仿真模型一起,应用了随机搜索算法来为拟议策略的控制变量找到合适的值。结果为拟议的生产控制政策在降低总成本方面的有效性提供了证据。进行敏感性分析以调查原材料和能源价格对拟议政策的生产参数和控制变量的影响。发现原材料价格上涨会影响生产参数。但是,它不会影响所提议策略的控制变量。另一方面,能源价格的上涨对两者都有影响。

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