Minimizing operating expenditures for a manufacturing system featuring quality reassurances, probabilistic failures, overtime, and outsourcing

IF 1.6 3区 工程技术 Q4 ENGINEERING, INDUSTRIAL International Journal of Industrial Engineering Computations Pub Date : 2023-01-01 DOI:10.5267/j.ijiec.2022.10.001
Yuanshyi Peter Chiu, S. Chiu, Fan-Yun Pai, Victoria Chiu
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Abstract

Production management operating in recent competitive marketplaces must satisfy the client desired quality and shorter order lead-time and avoid internal fabricating disruption caused by inevitable defects and stochastic equipment failures. Achieving these operational tasks without undesirable quality goods, missing due dates, and fabrication interruption help the management minimize operating expenditures. Motivated by assisting manufacturing firms in the situations mentioned this study explores a manufacturing system that features quality reassurances through reworking or removal of defectives, correction of probabilistic failures, and partial overtime and outsourcing options for reducing uptime. This study finds the function of system operating expenditures through model building, mathematical formulations, optimization approaches, and algorithm proposition, shows its convexity, and derives the optimal batch time for the studied manufacturing model. Finally, this study offers numerical illustrations to confirm our work’s applicability and disclose its capability to provide various profound crucial system information that helps the management make strategic operating decisions.
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最小化以质量保证、故障概率、加班和外包为特征的制造系统的运营支出
在最近竞争激烈的市场中运行的生产管理必须满足客户所期望的质量和更短的订单交货时间,并避免由不可避免的缺陷和随机设备故障引起的内部制造中断。实现这些操作任务,没有不良质量的货物,错过的截止日期,和制造中断,帮助管理层最大限度地减少运营支出。为了在上述情况下帮助制造企业,本研究探索了一种制造系统,该系统通过返工或消除缺陷、纠正概率故障、部分加班和减少正常运行时间的外包选项来保证质量。本研究透过建立模型、数学公式、优化方法及演算法提出,找出系统营运支出的函数,显示其凹凸性,并推导出所研究制造模型的最优批处理时间。最后,本研究提供了数值实例来证实我们的工作的适用性,并揭示了它能够提供各种深刻的关键系统信息,帮助管理层制定战略运营决策。
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来源期刊
CiteScore
5.70
自引率
9.10%
发文量
35
审稿时长
20 weeks
期刊最新文献
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