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Determining the optimal cycle length for a multiproduct EMQ problem considering rework and overtime options

机译:考虑返工和加班选项的多产品EMQ问题确定最佳循环长度

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To satisfy the increasing trend of diverse customer product needs and to cope with internal capacity constraints, the management of current manufacturing firms must plan multiproduct batch fabrication and be able to reduce its completion time and/or smooth overall production schedules. Furthermore, because of various unforeseen problems in real fabrication processes, defective items may be randomly produced. These items need to be identified and separated from perfect stocks to maintain the required quality level. Inspired by these facts, we explore a multiproduct economic manufacturing quantity (EMQ) problem considering rework and overtime options. An exact model is built to study the characteristics of the problem that have not yet been explicitly examined in the literature. This newly developed model employs a mathematical technique together with differential calculus to not only obtain the total cost function of the system, but also to prove its convexity and determine the optimal cycle time that minimizes the total system cost. A numerical illustration is provided to demonstrate its applicability. Subsequently, the impact of overtime and rework on the optimal solution, relevant cost variables, and the completion time of batch fabrication, machine utilization, can be obtained. This information on the cost-effectiveness of problem characteristics is valuable in facilitating managerial decisions.
机译:为满足不同客户产品需求的越来越多的趋势,并应对内部容量限制,目前的制造公司的管理必须计划多程序批量制造,并能够减少其完成时间和/或平滑的整体生产计划。此外,由于实际制造过程中的各种不可预见的问题,可能可以随机产生有缺陷的物品。这些项目需要从完美股票中识别和分开,以维持所需的质量水平。灵感来自这些事实,考虑到返工和加班选项,探索多程序经济制造数量(EMQ)问题。建立了一个精确的模型,以研究在文献中尚未明确检查的问题的特征。该新开发的模型采用数学技术与差分微积分一起使用,不仅可以获得系统的总成本函数,而且还可以证明其凸性并确定最小化总系统成本的最佳循环时间。提供了一个数字图示以展示其适用性。随后,可以获得加班和返工对最佳解决方案,相关成本变量以及批量制造,机器利用的完成时间的影响。关于问题特征成本效益的信息在促进管理决策方面有价值。

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