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Properties of performance indicators in operations management

Author

Listed:
  • F. Franceschini
  • M. Galetto
  • D. Maisano
  • L. Mastrogiacomo

Abstract

Purpose - The purpose of this paper is to attempt to provide a reference framework for the major properties of performance indicators, using the formalism of the Representation Theory. Design/methodology/approach - Performance indicators shown are commonly used in many different areas of operations management in order to analyse process evolution. However, in practical applications many questions arise: “How many indicators should be used for representing a given process?”, “Is there an optimal set?”, “How to check whether the indicators used suitably represent the system investigated?”, etc. In the literature these questions have been addressed in relation to a number of different application fields. This has led to a maze of classifications and properties, which may create confusion in both the academic and the practitioner communities. In a previous work, the paper carried out an analysis of the existing literature, examining and comparing different approaches. This present work identifies and analyses the major properties which effective indicators should exhibit, and suggests an operational methodology to choose the “best” set of indicators. Findings - The findings in this paper produce a detailed analysis of the properties of indicators and establish a schematic methodology facilitating the selection and verification of indicators. To make the process clearer, properties are explained by the use of practical examples. Research limitations/implications - Indicators are utilized in many different contexts for a variety of purposes (for example, logistics, business management, manufacturing, sports competitions, etc.). The paper provides a general analysis of the most important properties of indicators, without entering into specific application contexts. Practical implications - The paper proposes an operational methodology to support the selection and testing of the best indicators for a given process. This methodology may also be used for integrating other existing approaches. Originality/value - Properties of indicators are examined from a mathematical/symbolic point of view, using the formalism of the Representation Theory.

Suggested Citation

  • F. Franceschini & M. Galetto & D. Maisano & L. Mastrogiacomo, 2008. "Properties of performance indicators in operations management," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 57(2), pages 137-155, January.
  • Handle: RePEc:eme:ijppmp:v:57:y:2008:i:2:p:137-155
    DOI: 10.1108/17410400810847401
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    Citations

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    Cited by:

    1. Franceschini, Fiorenzo & Maisano, Domenico A., 2010. "Analysis of the Hirsch index's operational properties," European Journal of Operational Research, Elsevier, vol. 203(2), pages 494-504, June.
    2. Reder, Laura & Klünder, Timo, 2017. "Application of SCOR flexibility metrics to assess the Industry 4.0-Readiness of Supply Chain Networks: An empirical study," Arbeitsberichte des Lehrstuhls für Produktionswirtschaft 16, Ruhr-Universität Bochum (RUB), Lehrstuhl für Produktionswirtschaft.
    3. Franceschini, Fiorenzo & Maisano, Domenico, 2010. "The Hirsch spectrum: A novel tool for analyzing scientific journals," Journal of Informetrics, Elsevier, vol. 4(1), pages 64-73.
    4. Marcos Pereira Estellita Lins & Sergio Orlando Antoun Netto & Maria Stella Castro Lobo, 2019. "Multimethodology applied to the evaluation of Healthcare in Brazilian municipalities," Health Care Management Science, Springer, vol. 22(2), pages 197-214, June.
    5. Zuhair A. Al-Hemyari & Abdullah M. Al-Sarmi, 2018. "Information Management Model for Intellectual Capital of HEIs in Oman: Theoretical Quantitative Approach and Practical Results," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-38, March.

    More about this item

    Keywords

    Quality indicators; Operations management;

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