KPI tree - a hierarchical relationship structure of key performance indicators for value streams

IF 1.9 Q3 ENGINEERING, INDUSTRIAL Production Engineering Archives Pub Date : 2023-04-26 DOI:10.30657/pea.2023.29.21
Alberto Bumba, M. Gomes, Cristiano Jesus, R. M. Lima
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引用次数: 1

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.
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KPI树——价值流的关键绩效指标的层次关系结构
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。
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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
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