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

• Autorzy: Bumba Alberto , Gomes Manuel , Jesus Cristiano , Lima Rui M.

Identyfikatory

DOI

10.30657/pea.2023.29.21

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

Performance Measurement System; KPI–Key Performance; indicators; value stream performance; lean production

• Wydawca: Oficyna Wydawnicza Stowarzyszenia Menedżerów Jakości i Produkcji
• Czasopismo: Production Engineering Archives
• Rocznik: 2023
• Tom: Vol. 29, Iss. 2
• Strony: 175--185
• Opis fizyczny: Bibliogr. 39 poz., rys., tab.

Twórcy

autor

Bumba Alberto

• Bosch Car Multimédia Portugal /Assembly INF, PRO, CU, CC (BrgP/MFE21) (BrgP/MFE21), 4701-970, Braga, Portugal

autor

Gomes Manuel

• Bosch Car Multimédia Portugal /Assembly INF, PRO, CU, CC (BrgP/MFE21) (BrgP/MFE21), 4701-970, Braga, Portugal

autor

Jesus Cristiano

• CiTin - Industrial Technology Interface Centre, Advanced Production Systems Department, 4970-786, Arcos de Valdevez, Portugal
• ALGORITMI Research Centre / LASI, Department of Production and Systems, School of Engineering, University of Minho, 4800-058 Guimarães, Portugal

autor

Lima Rui M.

• ALGORITMI Research Centre / LASI, Department of Production and Systems, School of Engineering, University of Minho, 4800-058 Guimarães, Portugal

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).