联合优化连续生产流程中的生产调度、控制图设计和维护的混合设计

IF 1.9 3区 工程技术 Q3 ENGINEERING, MANUFACTURING
Qiang Wan, Ling Chen
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引用次数: 0

摘要

整合质量控制、经济生产量(EPQ)和维护这三个关键功能,可以节约成本并提高生产过程的效率。在文献中,这些功能通常是分开研究的。此外,现有的集成模型大多是针对离散部件制造环境设计的。然而,本研究完全侧重于连续流制造(CFM),这与部件制造截然不同,因为采样单元是根据实验室要求而不是生产单元来描述的。基于这一事实,本文针对 CFM 流程提出了一种与控制图设计和维护计划联合设计的集成 EPQ 方案。在经济统计质量的约束条件下,采用开发的遗传算法来最小化预期总生产成本。在所考虑的成本中,与质量相关的成本是根据田口质量损失函数,通过质量损失曲线得出的近似公式量化的。对预期总生产成本和所选系统参数值的变化进行了敏感性分析,以深入了解这一问题。最后,对所建议的模型和该领域的两个类似模型进行了比较研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A hybrid design for jointly optimizing production scheduling, control chart design and maintenance in continuous flow manufacturing
Integrating the three crucial functions of quality control, economic production quantity (EPQ) and maintenance leads to cost savings and increased efficiency for manufacturing processes. While in the literature, they have typically been studied separately. Moreover, most of the existing integration models are designed for the discrete piece-part manufacturing environment. This study, nevertheless, focuses wholly on continuous flow manufacturing (CFM), which is distinctly different from piece-part manufacturing, as the sampling unit is described in light of laboratory requirements instead of the production unit. Based on this fact, this paper proposes an integrated EPQ scheme jointly designed with control-chart design and maintenance planning for the CFM process. A developed genetic algorithm is employed to minimize the expected total production cost under constraints on the economic-statistical quality. Of the costs considered, quality-related costs are quantified via an approximate formula derived from the quality loss curve depending on Taguchi’s quality loss function. A sensitivity analysis is performed on the expected total production cost and variations in the chosen system parameter values to offer insights into the issue. Finally, a comparative investigation of the suggested model and two similar models that contributed to this field is conducted.
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来源期刊
CiteScore
5.10
自引率
30.80%
发文量
167
审稿时长
5.1 months
期刊介绍: Manufacturing industries throughout the world are changing very rapidly. New concepts and methods are being developed and exploited to enable efficient and effective manufacturing. Existing manufacturing processes are being improved to meet the requirements of lean and agile manufacturing. The aim of the Journal of Engineering Manufacture is to provide a focus for these developments in engineering manufacture by publishing original papers and review papers covering technological and scientific research, developments and management implementation in manufacturing. This journal is also peer reviewed. Contributions are welcomed in the broad areas of manufacturing processes, manufacturing technology and factory automation, digital manufacturing, design and manufacturing systems including management relevant to engineering manufacture. Of particular interest at the present time would be papers concerned with digital manufacturing, metrology enabled manufacturing, smart factory, additive manufacturing and composites as well as specialist manufacturing fields like nanotechnology, sustainable & clean manufacturing and bio-manufacturing. Articles may be Research Papers, Reviews, Technical Notes, or Short Communications.
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