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Designing Performance Measures for Asset Management Systems in Asset-Intensive Manufacturing Companies: A Case Study

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Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

This paper proposes a structural and procedural framework for developing performance measures for engineering asset management systems with an in-depth case study of an international glass manufacturer. The structural framework was built by adapting the Balanced Scorecard method to leading engineering asset management standards. Further, the procedural framework describes how to develop the performance measures systematically, and provides practical guidelines facilitate design process. Asset managers at different levels were brought together to use the proposed structural framework to an build asset management strategy map by linking and mapping all critical objectives in the defined perspectives. Subsequently performance measures are identified for each objective in the asset management strategy map. Finally all selected performance measures are critically reviewed with existing performance measures and qualitative feedback was collected from a senior participant. The results showed that the proposed structural and procedural framework are effective and efficient in helping asset-intensive organisations build their performance measurement systems for asset management.

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Notes

  1. 1.

    The name of the company has been changed to protect confidentiality.

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Correspondence to Jiaqiang Wang .

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Wang, J., Chen, Z., Parlikad, A. (2016). Designing Performance Measures for Asset Management Systems in Asset-Intensive Manufacturing Companies: A Case Study. In: Koskinen, K., et al. Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015). Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-27064-7_66

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  • DOI: https://doi.org/10.1007/978-3-319-27064-7_66

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27062-3

  • Online ISBN: 978-3-319-27064-7

  • eBook Packages: EngineeringEngineering (R0)

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