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A Maintenance Maturity and Sustainability Assessment Model for Manufacturing Systems

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Maintenance is a key manufacturing function that contributes to a company’s productivity, profitability and sustainability. Unfortunately, many aspects of the contribution of maintenance to sustainability in manufacturing remain unexplored, and many enterprises are not yet ready to assess the maintenance impacts on their sustainability. Maturity models are useful tools for assessing maintenance practices; however, no maintenance maturity model that allows the evaluation of the contribution of maintenance to sustainable performance was found in literature. This paper proposes a model for assessing the maturity and sustainability of maintenance processes. The model outputs are: a measure of the maintenance and sustainability maturity level; recommendations for improvement to undertake to enhance maintenance maturity and, thus, meet sustainability standards. The model was applied in three manufacturing enterprises: the calculation of their maintenance maturity and sustainability indices made the maintenance stakeholders more aware of the need to implement effective strategies for more sustainable maintenance performance.
Twórcy
  • CRAN UMR 7039, CNRS, Université de Lorraine, F-54000 Nancy, France
  • Department of Industrial Engineering, University of Salerno, Italy
  • Department of Industrial Engineering, University of Salerno, Italy
Bibliografia
  • Chemweno P., Pintelon L., Horenbeek A.V. and Muchiri P.N. (2015). Asset maintenance maturity model: structured guide to maintenance process maturity. International Journal of Strategic Engineering Asset Management, Vol. 2, No. 2, pp. 119–135.
  • De Bruin T., Rosemann M., Freeze R. and Kaulkarni U. (2005), Understanding the main phases of developing a maturity assessment model. In Australasian Conference on Information Systems (ACIS), pp. 8p–19, Australasian Chapter of the Association for Information Systems.
  • Duque S.E. and El-Thalji I. (2020), Intelligent Maintenance Maturity of Offshore Oil and Gas Platform: A Customized Assessment Model Complies with Industry 4.0 Vision. In Engineering Assets and Public Infrastructures in the Age of Digitalization, pp. 653–663, Springer, Cham.
  • EN 13306 (2001), Maintenance terminology, European Standard, ISSN 0335-3931.
  • EN 15341:2019 (2019), Maintenance - Maintenance Key Performance Indicators.
  • Franciosi C., Iung B., Miranda S. and Riemma S. (2018), Maintenance for sustainability in the industry4.0 context: a scoping literature review, IFAC PapersOnLine, Vol. 51, No. 11, pp. 903–908.
  • Franciosi C., Di Pasquale V., Iannone R. and Miranda S. (2020), Multi-stakeholder perspectives on indicators for sustainable maintenance performance in production contexts: an exploratory study. Journal of Quality in Maintenance Engineering.
  • Franciosi C., Roda I., Voisin A., Miranda S., Macchi M. and Iung B. (2021, September), Sustainable maintenance performances and EN 15341: 2019: An integration proposal. In IFIP International Conference on Advances in Production Management Systems, pp. 401–409, Springer, Cham.
  • Franciosi C., Voisin A., Miranda S., Riemma S. and Iung B. (2020), Measuring maintenance impacts on sustainability of manufacturing industries: from a systematic literature review to a framework proposal. Journal of Cleaner Production, Vol. 260, p. 121065.
  • Ghaleb M. and Taghipour S. (2022a). Evidence-based study of the impacts of maintenance practices on asset sustainability. International Journal of Production Research, pp. 1–32.
  • Ghaleb M. and Taghipour S. (2022b). Assessing the impact of maintenance practices on asset’s sustainability. Reliability Engineering & System Safety, 228, 108810.
  • Hauge B.S. and Mercier B.A. (2003, January), Reliability centered maintenance maturity level roadmap. In Annual Reliability and Maintainability Symposium, 2003, pp. 226–231, IEEE.
  • Holgado M., Macchi M. and Evans S. (2020), Exploring the impacts and contributions of maintenance function for sustainable manufacturing. International Journal of Production Research, Vol. 58, No. 23, pp. 7292–7310.
  • Iung B. and Levrat E. (2014), Advanced maintenance services for promoting sustainability. Procedía CIrP, Vol. 22, pp. 15–22.
  • Jasiulewicz-Kaczmarek M. and Gola A. (2019), Maintenance 4.0 technologies for sustainable manufacturingan overview. IFAC-PapersOnLine, Vol. 52, No. 10, pp. 91–96.
  • Jasiulewicz-Kaczmarek M., Legutko S., and Kluk P. (2020), Maintenance 4.0 technologies - new opportunities for sustainability driven maintenance. Management and Production Engineering Review, Vol. 11, No. 2.
  • Jasiulewicz-Kaczmarek M., Żywica P. and Gola A. (2021), Fuzzy set theory driven maintenance sustainability performance assessment model: A multiple criteria approach. Journal of Intelligent Manufacturing, Vol. 32, No. 5, pp. 1497–1515.
  • Jasiulewicz-Kaczmarek M. and Żywica P. (2018), The concept of maintenance sustainability performance assessment by integrating balanced scorecard with non-additive fuzzy integral. Maintenance and Reliability (Eksploatacja i Niezawodność), Vol. 20, No. 4.
  • Jasiulewicz-Kaczmarek M. (2018), Identification of maintenance factors influencing the development of sustainable production processes-a pilot study. In IOP Conference Series: Materials Science and Engineering, Vol. 400, No. 6, p. 062014, IOP Publishing.
  • Kans M., Ehsanifard K. and Moniri A. (2012, May), Criteria and model for assessing and improving information technology maturity within maintenance. Journal of Physics: Conference Series Vol. 364, No. 1, p. 012097, IOP Publishing.
  • Macchi M. and Fumagalli L. (2013), A maintenance maturity assessment method for the manufacturing industry. Journal of Quality in Maintenance Engineering.
  • Mehairjan R.P., Hattem M.V., Djairam D. and Smit J.J. (2016), Development and implementation of a maturity model for professionalising maintenance management. In Proceedings of the 10th World Congress on Engineering Asset Management (WCEAM 2015), pp. 415–427, Springer, Cham.
  • Okoh P. and Haugen S. (2014), A study of maintenancerelated major accident cases in the 21st century. Process Safety and Environmental Protection, Vol. 92, No. 4, pp. 346–356.
  • Nemeth T., Ansari F., Sihn W., Haslhofer B. and Schindler A. (2018), PriMa-X: A reference model for realizing prescriptive maintenance and assessing its maturity enhanced by machine learning. Procedia CIRP, Vol. 72, pp. 1039–1044.
  • Nemeth T., Ansari F. and Sihn W. (2019), A maturity assessment procedure model for realizing knowledgebased maintenance strategies in smart manufacturing enterprises. Procedia Manufacturing, Vol. 39, pp. 645–654.
  • Oliveira M.M., Lopes I.D.S. and Figueiredo D. (2012), Maintenance management based on organization maturity level.
  • Oliveira M.A. and Lopes I. (2019), Evaluation and improvement of maintenance management performance using a maturity model. International Journal of Productivity and Performance Management, Vol. 69, No. 3.
  • Pires S.P., Sénéchal O., Loures E.F.R. and Jimenez J.F. (2016), An approach to the prioritization of sustainable maintenance drivers in the TBL framework. ScienceDirect, IFAC-PapersOnLine, Vol. 49, No. 28, pp. 150–155.
  • Sari E., Shaharoun A.M., Ma’aram A. and Yazid A.M. (2015), Sustainable maintenance performance measures: a pilot survey in Malaysian automotive companies. Procedia CIRP, Vol. 26, pp. 443–448.
  • Schuh G., Lorenz B., Winter C.P. and Gudergan G. (2010), The House of Maintenance-Identifying the potential for improvement in internal maintenance organizations by means of a capability maturity model. In Engineering Asset Lifecycle Management, pp. 15–24, Springer, London.
  • Tranfield D., Denyer D. and Smart P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management, vol. 14, No. 3, pp. 207–222.
  • Wireman T. (2014), Benchmarking Best Practices for Maintenance and Reliability. 3rd ed. South Norwalk, CT, USA: Industrial Press.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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