通过工作量平滑实现直线装配线平衡:新结果

IF 1.9 3区 工程技术 Q3 MANAGEMENT
Sadegh Niroomand;Bela Vizvari
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引用次数: 1

摘要

通过工作量平滑来平衡装配线是非常常见的;它旨在将任务适当地分配给装配线的工作站,以确保工作站的工作负载尽可能相似。文献中开发的数学模型的一个缺点是,当只考虑所有潜在站点时,工作负载平滑的优化。因此,所获得的解可能不是全局最优解,也可能对现实世界的情况无效。为了克服这一缺点,针对三种不同的设置,开发了一些新的工作负载平滑标准及其相关的混合整数线性数学模型:(1)工作负载平滑优化,当考虑所有潜在站点时,(2)同时优化工作负载平滑和站点数量的最小化,(3)全局工作负载平滑优化,而与所考虑的工作站的数量无关。根据广泛的数值研究,与文献中先前提出的模型相比,所提出的公式与更少的变量和约束相关,并导致更好的结果。所提出的模型可应用于汽车和电子设备生产系统的装配线设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Straight assembly line balancing by workload smoothing: new results
Assembly line balancing by workload smoothing is very common; it aims to appropriately assign tasks to the stations of an assembly line, to ensure as similar as possible workloads for the stations. A shortcoming of the mathematical models developed in the literature is the optimization of workload smoothing when only all potential stations are considered. Therefore, the obtained solution may not be the global optimal solution and also may not be effective for real world cases. To overcome this shortcoming, some new workload smoothing criteria and their related mixed integer linear mathematical models are developed for three different settings: (1) workload smoothing optimization, when all potential stations are considered, (2) workload smoothing and minimization of the number of stations are optimized simultaneously, (3) global workload smoothing optimization regardless of the number of considered stations. The proposed formulations are associated with fewer variables and constraints compared with models previously presented in the literature and lead to better results according to an extensive numerical study. The proposed models can be applied in practice for designing the assembly lines of, inter alia, automobile and electronic equipment production systems.
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来源期刊
IMA Journal of Management Mathematics
IMA Journal of Management Mathematics OPERATIONS RESEARCH & MANAGEMENT SCIENCE-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.70
自引率
17.60%
发文量
15
审稿时长
>12 weeks
期刊介绍: The mission of this quarterly journal is to publish mathematical research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices. Thus the research must be quantitative and of the highest quality if it is to be published in the journal. Furthermore, the outcome of the research must be ultimately useful for managers. The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies. The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling.
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