Principles on balancing divisional seru with cross-trained workers

IF 6.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Industrial Engineering Pub Date : 2025-02-01 Epub Date: 2024-12-11 DOI:10.1016/j.cie.2024.110793
Yalin Li, Zhe Zhang
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Abstract

This paper addresses the challenge of preventing blocking in seru production system (SPS), in which seru is a new-type manufacturing mode deriving from Japanese manufacturing practice and it can fast respond to the fluctuate market demands. Specially, the divisional seru with cross-trained workers is concerned since it is particularly susceptible to blockages due to the heterogeneity of workers. Self-balancing production lines, i.e., bucket brigades, is employed to maximize the throughput of divisional seru for various system sizes. A three-station and two-worker case and m-station and n-worker general case are discussed respectively, and for the small-scale divisional seru, the maximum throughput in a specific region is obtained; while for large-scale seru, the chaos of the system is demonstrated by analyzing the staffing and workload. The rules for reaching the maximum throughput are clearly provided, based on the fact that it is not possible to self-management, and therefore the maximum throughput can be achieved by the principles obtained in the study. Valuable insights into effectively managing divisional seru systems and optimizing the performance are provided, thereby offering practical guidance for the manager of SPS.
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平衡部门服务与交叉培训工人的原则
seru是一种借鉴日本制造实践的新型制造模式,具有快速响应市场需求波动的特点,本文研究了seru生产系统(SPS)中防止阻塞的问题。特别值得关注的是,由于工人的异质性,具有交叉训练的工人的部门服务特别容易受到阻碍。采用自平衡生产线,即桶队,以最大限度地提高各种系统尺寸的分区血清的吞吐量。分别讨论了3站2人情况和m站n人一般情况,对于小规模分区服务,得到了特定区域内的最大吞吐量;而对于大规模服务,通过分析人员配备和工作量来证明系统的混沌性。基于自我管理是不可能的事实,明确给出了达到最大吞吐量的规则,因此根据研究得到的原则可以实现最大吞吐量。为有效管理部门血清系统和优化绩效提供了宝贵的见解,从而为SPS经理提供了实用的指导。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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