KPI树——价值流的关键绩效指标的层次关系结构

IF 1.9 Q3 ENGINEERING, INDUSTRIAL
Alberto Bumba, M. Gomes, Cristiano Jesus, R. M. Lima
{"title":"KPI树——价值流的关键绩效指标的层次关系结构","authors":"Alberto Bumba, M. Gomes, Cristiano Jesus, R. M. Lima","doi":"10.30657/pea.2023.29.21","DOIUrl":null,"url":null,"abstract":"Abstract Performance Measurement Systems (PMS) have been a potential answer to problems related to production systems monitoring, allowing the management and manipulation of data collected at various levels in organizations. PMS can be defined as a group of indicators in an information system. There are several types of PMS, however, the relationship between indicators in a PMS is still an issue that needs to be explored, as the KPIs in a production system are not independent and may have an intrinsic relationship. The purpose of this paper is to present a multilevel structure and its intrinsic structural relation for managing and analysing KPIs for a value stream production system. This hierarchical structure has different KPI levels such as Improvement KPIs, Monitoring KPIs, and Results KPIs or KPR (Key Performance Results), intrinsically related from the strategic levels to the operational levels. This provides a useful tool for the management of production systems, being used to analyse, and support the organization's continuous improvement processes.","PeriodicalId":36269,"journal":{"name":"Production Engineering Archives","volume":"29 1","pages":"175 - 185"},"PeriodicalIF":1.9000,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"KPI tree - a hierarchical relationship structure of key performance indicators for value streams\",\"authors\":\"Alberto Bumba, M. Gomes, Cristiano Jesus, R. M. Lima\",\"doi\":\"10.30657/pea.2023.29.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Performance Measurement Systems (PMS) have been a potential answer to problems related to production systems monitoring, allowing the management and manipulation of data collected at various levels in organizations. PMS can be defined as a group of indicators in an information system. There are several types of PMS, however, the relationship between indicators in a PMS is still an issue that needs to be explored, as the KPIs in a production system are not independent and may have an intrinsic relationship. The purpose of this paper is to present a multilevel structure and its intrinsic structural relation for managing and analysing KPIs for a value stream production system. This hierarchical structure has different KPI levels such as Improvement KPIs, Monitoring KPIs, and Results KPIs or KPR (Key Performance Results), intrinsically related from the strategic levels to the operational levels. This provides a useful tool for the management of production systems, being used to analyse, and support the organization's continuous improvement processes.\",\"PeriodicalId\":36269,\"journal\":{\"name\":\"Production Engineering Archives\",\"volume\":\"29 1\",\"pages\":\"175 - 185\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2023-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Production Engineering Archives\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30657/pea.2023.29.21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Production Engineering Archives","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30657/pea.2023.29.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 1

摘要

绩效测量系统(PMS)已经成为与生产系统监控相关问题的潜在答案,允许管理和操纵组织中各级收集的数据。PMS可以定义为信息系统中的一组指标。PMS有几种类型,但是,PMS中指标之间的关系仍然是一个需要探索的问题,因为生产系统中的kpi不是独立的,可能具有内在的关系。本文的目的是提出一个管理和分析价值流生产系统kpi的多层次结构及其内在结构关系。这种分层结构具有不同的KPI级别,例如改进KPI、监视KPI和结果KPI或KPR(关键绩效结果),从战略级别到操作级别内在地相关。这为生产系统的管理提供了一个有用的工具,用于分析和支持组织的持续改进过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
KPI tree - a hierarchical relationship structure of key performance indicators for value streams
Abstract Performance Measurement Systems (PMS) have been a potential answer to problems related to production systems monitoring, allowing the management and manipulation of data collected at various levels in organizations. PMS can be defined as a group of indicators in an information system. There are several types of PMS, however, the relationship between indicators in a PMS is still an issue that needs to be explored, as the KPIs in a production system are not independent and may have an intrinsic relationship. The purpose of this paper is to present a multilevel structure and its intrinsic structural relation for managing and analysing KPIs for a value stream production system. This hierarchical structure has different KPI levels such as Improvement KPIs, Monitoring KPIs, and Results KPIs or KPR (Key Performance Results), intrinsically related from the strategic levels to the operational levels. This provides a useful tool for the management of production systems, being used to analyse, and support the organization's continuous improvement processes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Production Engineering Archives
Production Engineering Archives Engineering-Industrial and Manufacturing Engineering
CiteScore
6.10
自引率
13.00%
发文量
50
审稿时长
6 weeks
×
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:481959085
Book学术官方微信