Useful deviations for deviation management information systems: From pulse methodology to a generic description

O. Kaya, D. Bergsjö
{"title":"Useful deviations for deviation management information systems: From pulse methodology to a generic description","authors":"O. Kaya, D. Bergsjö","doi":"10.1109/SYSOSE.2016.7542929","DOIUrl":null,"url":null,"abstract":"We learn from our mistakes, and for companies these mistakes are deviations (aka. problems, disturbances, issues, hiccups, mishaps etc.). Every captured and solved deviation creates new knowledge. Not capturing this knowledge, in lean terms, is a waste of created value. A way of capturing this knowledge is to record and manage them via a deviation management information system. The case company uses digital pulse methodology to do this task. But which deviations should be recorded? Or more precisely, which deviations are worth being recorded? The lack of clear answer to these questions, as seen in this case study, can make companies unable to capture the knowledge of minor deviations. In order to solve this problem, this paper answers what deviation is and which deviations should be recorded (i.e., useful deviations), from pulse deviation management methodology point of view. In addition, further implications of the results are discussed towards creating a generic definition from the pulse methodology specific one.","PeriodicalId":381280,"journal":{"name":"2016 11th System of Systems Engineering Conference (SoSE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 11th System of Systems Engineering Conference (SoSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYSOSE.2016.7542929","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We learn from our mistakes, and for companies these mistakes are deviations (aka. problems, disturbances, issues, hiccups, mishaps etc.). Every captured and solved deviation creates new knowledge. Not capturing this knowledge, in lean terms, is a waste of created value. A way of capturing this knowledge is to record and manage them via a deviation management information system. The case company uses digital pulse methodology to do this task. But which deviations should be recorded? Or more precisely, which deviations are worth being recorded? The lack of clear answer to these questions, as seen in this case study, can make companies unable to capture the knowledge of minor deviations. In order to solve this problem, this paper answers what deviation is and which deviations should be recorded (i.e., useful deviations), from pulse deviation management methodology point of view. In addition, further implications of the results are discussed towards creating a generic definition from the pulse methodology specific one.
偏差管理信息系统的有用偏差:从脉冲方法学到一般描述
我们从错误中学习,对公司来说,这些错误就是偏差。问题,干扰,问题,打嗝,不幸等)。每个捕获和解决的偏差都会创造新的知识。用精益的术语来说,不掌握这些知识就是浪费创造的价值。获取这些知识的一种方法是通过偏差管理信息系统记录和管理它们。案例公司使用数字脉冲方法来完成这项任务。但是应该记录哪些偏差呢?或者更准确地说,哪些偏差值得记录?正如在这个案例研究中所看到的那样,对这些问题缺乏明确的答案,可能会使公司无法捕获小偏差的知识。为了解决这一问题,本文从脉冲偏差管理方法学的角度,回答了什么是偏差,哪些偏差应该被记录(即有用的偏差)。此外,还讨论了结果对从脉冲方法学具体定义中创建通用定义的进一步影响。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信