Gestaltung eines wertstromübergreifenden Performance-Management-Systems

Author:

Longard Lukas1,Wang Yuxi1,Herz Oliver2,Metternich Joachim1

Affiliation:

1. Institut für Produktionsmanagement, Technologie und Werkzeugmaschinen (PTW), Technische Universität Darmstadt ; Otto-Berndt-Str. 2 , Darmstadt ; Germany

2. Munsch-Chemie-Pumpen GmbH , Ransbach-Baumbach Germany

Abstract

Abstract KPI systems for evaluating and improving industrial processes are often used ineffectively in production companies, mostly due to arbitrarily selected KPIs and an overemphasis on financial aspects. Existing performance management approaches only describe basic elements and offer few practical recommendations. Implementation is usually only carried out by upper and middle management and neglects integration into production. This article presents a methodology that derives KPIs from corporate objectives in order to identify precise deviations and support data-driven analyses. The method is illustrated by evaluating the example of a process-accurate recording of throughput time.

Publisher

Walter de Gruyter GmbH

Reference24 articles.

1. Kleindienst, B.: Performance Measurement und Management – Gestaltung und Einführung von Kennzahlen- und Steuerungssystemen: Technoökonomische Forschung und Praxis. Springer Fachmedien Wiesbaden, Wiesbaden 2017

2. Aguinis, H.; Joo, H.; Gottfredson, R.: Why we Hate Performance Management — And why we Should Love it. Business Horizons 54 (2011) 6, S. 503–507 10.1016/j.bushor.2011.06.001

3. Eaidgah, Y.; Maki, A.; Kurczewski, K.; Abdekhodaee, A.: Visual Management, Performance Management and Continuous Improvement. International Journal of Lean Six Sigma 7 (2016) 2, S. 187–210 10.1108/IJLSS-09-2014-0028

4. Schreyer, M.: Entwicklung und Implementierung von Performance Measurement Systemen. Zugl.: Bayreuth, Univ., Diss., 2007: Gabler Edition Wissenschaft. Dt. Univ.-Verl., Wiesbaden 2007

5. Diez, J.; Ordieres-Mere, J.; Nuber, G.: The Hoshen Kanri Tree – Cross-Plant Lean Shopfloor Management. Procedia CIRP 32 (2015), S. 150–155 10.1016/j.procir.2015.02.120

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