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A Strategic Roadmap to Improve the Maturity Level of Maintenance Information Management Systems

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Języki publikacji
EN
Abstrakty
EN
Maintenance involves a large amount of data management. Although many tools, strategies, and systems, have been developed to organize the maintenance information resources, SMEs have not found the same benefits as large companies due to their inherent characteristics and, above all, the maturity level of the maintenance department. Maturity models are useful tools for assessing the maturity of maintenance information practices; however, existing models are not suitable for any type of business context, as they required companies to have a clear organizational structure and definite informative infrastructure. Moreover, they do not assist in identifying and defining actions to reach the highest level. This paper proposes a model for assessing and improving maintenance management information practices. It allows a clear measure of the maturity of the maintenance information management practices in industrial contexts and provides improvement actions identifying the information and data needed to enhance maintenance management information practices.
Twórcy
  • University of Salerno, Department of Industrial Engineering, Via Giovanni Paolo II, 132, 84084 Fisciano SA, I-84084, Italy
  • University of Salerno, Department of Industrial Engineering, I-84084, Italy
  • University of Salerno, Department of Industrial Engineering, I-84084, Italy
Bibliografia
  • Ahuja, I.P.S., & Khamba, J.S. (2008). Total productive maintenance: literature review and directions. International Journal of Quality & Reliability Management, 25(7), 709-756.
  • Baglee, D., & Knowles, M. (2010). Maintenance strategy development within SMEs: The development of an integrated approach. Control Cybern., 39, 275-303.
  • Becker, J. (2009). Developing Maturity Models for IT Management - A Procedure Model and its Application. Business & Information Systems Engineering, 1, 213-222.
  • Beheshti, H.M. (2004). The impact of IT on SMEs in the United States. Inf. Manag. Comput. Secur., 12, 318-327.
  • Chemweno, P., Pintelon, L., Van Horenbeek, A., & Muchiri, P.N. (2015). Asset maintenance maturity model as a structured guide to maintenance process maturity. Int. J. Strat. Eng. Asset Manag, 2(2), 58-70.
  • de Bruin, T., Rosemann, M., Freeze, R., & Kulkarni, U. (2005). Understanding the main phases of developing a maturity assessment model. In Proceedings of the 16th Australasian Conference on Information Systems (ACIS), 16th Australasian Conference on Information Systems (ACIS), Sydney, Australia, 30 November–2 December 2005.
  • EN 15341:2019 (2019). Maintenance – Maintenance Key Performance Indicators. Polish Committee for Standardization.
  • Franciosi, C., Iung, B., Miranda, S., & Riemma, S. (2018). Maintenance for sustainability in the industry4.0 context: a scoping literature review. IFAC PapersOnLine, 51(11), 903-908.
  • Fumagalli, L., Macchi, M., & Rapaccini, M. (2009). Computerized maintenance management systems in SMEs: A survey in Italy and some remarks for the implementation of condition-based maintenance. IFAC Proc., 13, 1615-1619.
  • Hemmati, N., Galankashi, M.R., Imani, D., & Rafiei, F.M. (2019). An integrated fuzzy-AHP and TOPSIS approach for maintenance policy selection. Int. J. Qual. Reliab. Manag., 37, 1275-1299.
  • Hemmati, N., Galankashi, M.R., Imani, D.M., & Farughi, H. (2018). Maintenance policy selection: A fuzzyANP. Journal of Manufacturing Technology Management, 29(7), 1253-1268.
  • Jasiulewicz-Kaczmarek, M., Legutko, S., & Kluk, P. (2020). Maintenance 4.0 technologies–new opportunities for sustainability driven maintenance. Management and Production Engineering Review, 11(2), 74-87.
  • Kans, M. (2008). An approach for determining the requirements of computerised maintenance management systems. Computers in Industry, 59(1), 32-40.
  • Kans, M., Ehsanifard, K., & Moniri, A. (2012). Criteria and model for assessing and improving information technology maturity within maintenance. In Journal of Physics: Conference Series, 364(1), 012097
  • Leoni, L., De Carlo, F., Paltrinieri, N., Sgarbossa, F., & BahooToroody, A. (2021). On risk-based maintenance: A comprehensive review of three approaches to track the impact of consequence modelling for predicting maintenance actions. Journal of Loss Prevention in the Process Industries, 72, 104555.
  • Macchi, M. & Fumagalli, L.A. (2013). Maintenance maturity assessment method for the manufacturing industry. J. Qual. Maint. Eng., 19, 295-315.
  • Mehairjan, R.P., van Hattem, M., Djairam, D., & 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 International Publishing.
  • Nemeth, T., Ansari, F., & Sihn, W. (2019). A maturity assessment procedure model for realizing knowledgebased maintenance strategies in smart manufacturing enterprises. Procedia Manufacturing, 39, 645-654.
  • Oliveira, A.M., & Lopes, I. (2020). Evaluation and improvement of maintenance management performance using a maturity model. Int. J. Product. Perform. Manag., 69, 559-581.
  • Oliveira, M.M., Lopes, I.D.S., & Figueiredo, D. (2012). Maintenance management based on organization maturity level. Business.
  • Polenghi, A., Roda, I., Macchi, M., & Pozzetti, A. (2022). Information as a key dimension to develop industrial asset management in manufacturing. Journal of Quality in Maintenance Engineering, 28(3), 567-583.
  • Schuh, G., Lorenz, B., Winter, C.P., & 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: Proceedings of the 4th World Congress on Engineering Asset Management (WCEAM 2009 ), 28-30 September 2009 (pp. 15-24). Springer London.
  • Singh, R.K., Garg, S.K., & Deshmukh, S. (2008). Strategy development by SMEs for competitiveness: A review. Benchmarking Int. J., 15, 525-547.
  • Tortora, A.M.R., Di Pasquale, V., & Iannone, R. (2022). A Maintenance Maturity Model for Assessing Information Management Practices for Small and Medium Enterprises (M3AIN4SME). Applied Sciences, 12(18), 9282.
  • Wendler, R. (2012). The maturity of maturity model research: A systematic mapping study. Inf. Softw. Technol, 54, 1317-1339.
  • Wisniewski, Z., & Blaszczyk, A. (2019). Conditioning of Computerized Maintenance Management Systems Implementation. In Advances in Intelligent Systems and Computing; Springer International Publishing: Berlin/Heidelberg, Germany, 971.
  • Zach, O., Munkvold, B.E., & Olsen, D.H. (2014). ERP system implementation in SMEs: Exploring the influences of the SME context. Enterp. Inf. Syst., 8, 309-335.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6432f2ad-475a-400c-95cc-cbfd96a270ea
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