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Meeting multiproduct demand with a hybrid inventory replenishment system featuring quality reassurance

机译:通过具有质量保证功能的混合库存补货系统满足多产品需求

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Globalization has not only generated immense business opportunities, but also created a very competitive marketplace. To retain competitive advantage, a manufacturer must satisfy a client's multiproduct and quality requirements with limited in-house capacity. An outsourcing strategy can overcome capacity constraints and shorten the fabrication cycle time. This study explores a hybrid multiproduct single-machine inventory replenishment system incorporating an outsourcing plan. The in-house multiproduct fabrication process is under a common cycle time policy. That is, each product receives one replenishment in a common cycle length. All fabricated items are inspected for quality; items with random defects are sorted out as scrap and repairable, and the rework occurs immediately after the regular fabrication. All reworked products that fail the quality reassurance test are scrapped. The quality of outsourcing items is assumed to be guaranteed by the outside provider. Our objective is to determine the optimal common cycle time that minimizes the total relevant cost. An accurate model is constructed to represent the characteristics of the system studied; furthermore, we utilize mathematical analysis to derive the total system costs and apply differential calculus to find the optimal cycle length. A numerical example illustrates the applicability of our result and highlights the effect of variations in outsourcing- and quality-related attributes on the optimal solution, as well as the various performance indicators that facilitate planning and controlling decisions.
机译:全球化不仅创造了巨大的商机,而且创造了一个竞争激烈的市场。为了保持竞争优势,制造商必须在内部能力有限的情况下满足客户的多种产品和质量要求。外包策略可以克服产能限制并缩短制造周期。这项研究探索了结合了外包计划的混合多产品单机库存补货系统。内部多产品制造过程遵循通用的周期时间策略。也就是说,每种产品在一个公共周期内都会收到一次补货。所有制成品均经过质量检查;带有随机缺陷的物品会被分类为报废和可修复的,并且返修会在常规制造后立即进行。所有未通过质量保证测试的返工产品都将报废。假定外包项目的质量由外部提供商保证。我们的目标是确定使总相关成本降至最低的最佳公共周期时间。构建一个准确的模型来表示所研究系统的特征;此外,我们利用数学分析来得出总的系统成本,并应用微积分来找到最佳的循环长度。一个数字示例说明了我们的结果的适用性,并强调了外包和质量相关属性的变化对最佳解决方案的影响,以及有助于规划和控制决策的各种绩效指标。

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