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首页> 外文期刊>Journal of King Saud University: Physics and Mathematics >Determining optimal uptime considering an unreliable machine, a maximum permitted backorder level, a multi-delivery plan, and disposal/rework of imperfect items
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Determining optimal uptime considering an unreliable machine, a maximum permitted backorder level, a multi-delivery plan, and disposal/rework of imperfect items

机译：考虑不可靠的机器，最大允许的延期级级，多输送计划和处置/返回不完美物品的最佳正常运行时间

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摘要

To remain competitive in unstable business environments, production managers of contemporary manufacturing firms must simultaneously achieve some important operating goals while planning batch fabrication. These goals may include ensuring high product quality, satisfying buyer demand with timely deliveries and acceptable stock availability, lowering cost, and keeping the batch fabrication process undisruptive. In production planning, permitting shortage backordering is an effective policy to reduce stock holding cost, given that stock availability meets an acceptable level of customer’s satisfaction. In addition, in an actual manufacturing environment, random equipment breakdowns and imperfect items are inevitable due to unpredictable issues in manufacturing processes. This study develops a decision support model to explore a fabrication uptime problem considering an unreliable machine, a maximum permitted backorder level, a multi-delivery plan, and disposal/rework of imperfect items to assist manages with the aforementioned operating goals. With the help of mathematical modeling, an optimization method, and a solution-seeking algorithm, the proposed precise model is capable of not only determining the optimal fabrication uptime policy, but also revealing the individual and joint impact(s) of various key system parameters on the problem, thus facilitating managerial decision-making.
机译：为了在不稳定的商业环境中保持竞争力，当代制造公司的生产经理必须同时在规划批量制造时实现一些重要的运营目标。这些目标可能包括确保高产品质量，满足买方需求，及时交付，可接受的库存可用性，降低成本，并保持批量制造工艺未审视。在生产规划中，允许股票持有的股票持有量的有效政策，鉴于库存可用性符合客户满意度可接受的水平。此外，由于制造过程中不可预测的问题，在实际的制造环境中，随机设备故障和不完美的项目是不可避免的。本研究开发了一个决策支持模型，以探讨考虑不可靠的机器的制造正常运行时间问题，最大允许的延期级级，多传送计划以及不完美物品的处理/返工，以帮助管理上述操作目标。在数学建模的帮助下，优化方法和寻求解决算法，所提出的精确模型不仅能够确定最佳制造正常策略，还能够揭示各种关键系统参数的个体和关节冲击关于问题，从而促进管理决策。

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