Is full skill the best configuration for seru production system?

W. Ye, T. Jiafu
{"title":"Is full skill the best configuration for seru production system?","authors":"W. Ye, T. Jiafu","doi":"10.1109/CCDC.2018.8407801","DOIUrl":null,"url":null,"abstract":"Seru production system (SPS) is now widely adopted in Japanese manufacturing firms to deal with the dynamic uncertain demand. Multi-skilled workers and compact layout make SPS takes the advantage of both efficiency and flexibility. In this paper, we compared the fulfill rate of three skill levels of SPS (single-skilled, long chain two-skilled and full-skilled). The purpose of this paper is to testify which skill level performs best for implementing SPS under fluctuated demand. On this basis, we consider the efficiency decline factor (EDF) which represents the processing time of a worker will be longer when he serves more product types. Scenario decomposition method is adopted to estimate the fulfill rate of three skill-leveled SPS. Numerical experiments show that fulfill rate of long chain two-skilled SPS is almost the same as full-skilled SPS, while single-skilled SPS' fulfill rate decline significantly with the growing of demand fluctuation. Moreover, with considering of EDF, long chain two-skilled SPS performs the best among them.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Chinese Control And Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2018.8407801","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Seru production system (SPS) is now widely adopted in Japanese manufacturing firms to deal with the dynamic uncertain demand. Multi-skilled workers and compact layout make SPS takes the advantage of both efficiency and flexibility. In this paper, we compared the fulfill rate of three skill levels of SPS (single-skilled, long chain two-skilled and full-skilled). The purpose of this paper is to testify which skill level performs best for implementing SPS under fluctuated demand. On this basis, we consider the efficiency decline factor (EDF) which represents the processing time of a worker will be longer when he serves more product types. Scenario decomposition method is adopted to estimate the fulfill rate of three skill-leveled SPS. Numerical experiments show that fulfill rate of long chain two-skilled SPS is almost the same as full-skilled SPS, while single-skilled SPS' fulfill rate decline significantly with the growing of demand fluctuation. Moreover, with considering of EDF, long chain two-skilled SPS performs the best among them.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
全技能是seru生产系统的最佳配置吗?
为了应对动态不确定需求,日本制造企业广泛采用了动态不确定生产系统(SPS)。多技术工人和紧凑的布局使SPS既具有效率又具有灵活性。本文比较了SPS三个技能水平(单技能、长链双技能和全技能)的完成率。本文的目的是证明在需求波动的情况下,哪种技能水平最适合实施SPS。在此基础上,我们考虑效率下降因子(EDF),它表示一个工人服务更多的产品类型时,他的加工时间会更长。采用场景分解方法估计了三个技能级SPS的完成率。数值实验表明,长链双技能SPS的完成率与全技能SPS基本相同,而单技能SPS的完成率随着需求波动的增大而显著下降。此外,考虑到EDF,长链双技能SPS表现最好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An improved K-means algorithm for reciprocating compressor fault diagnosis Bond graph modeling and fault injection of CRH5 traction system Design of human eye information detection system Multi-leak diagnosis and isolation in oil pipelines based on Unscented Kalman filter Local logic optimization algorithm for autonomous mobile robot based on fuzzy logic
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1