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The impact of ERP on maintenance management

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Języki publikacji
EN
Abstrakty
EN
This paper presents a methodology for implementation of an ERP system in the area of production maintenance. The methodology is based on integration of monitoring maintenance events, manufacturing data registration and an employee motivation system.. The maintenance processes discussed in the paper encompass activities in the area of disaster recovery, overhauls, changeovers and special equipment production. This methodology requires implementation of an effective system of data registration and the design of a motivation system for maintenance staff based on the registered data. The models of the maintenance processes are proposed and the illustrative examples are given.
Twórcy
autor
  • University of Zielona Góra, Institute of Management and Production Engineering, Prof. Szafrana 4, 65-526 Zielona Góra, Poland, phone: (+48) 68 3282464
  • University of Zielona Góra, Institute of Management and Production Engineering, Poland
Bibliografia
  • [1] Morton N.A., Hu Q., Implications of the fit between organizational structure and ERP: A structural contingency theory perspective, International Journal of Information Management, 28, 391–402, 2008.
  • [2] Kans M., An approach for determining the requirements of computerized maintenance management systems, Computers in Industry, 59, 1, 32–40, January, 2008.
  • [3] Kłos S., Evaluation methodology of ERP system implementation in manufacturing enterprises, Zielona Góra, Oficyna Wydawnicza Uniwersytetu Zielonogórskiego, 263, 2010.
  • [4] Barbera L., Crespo A., Viveros P., Stegmaier R.I., Advanced model for maintenance management in a continuous improvement cycle: integration into the business strategy, International Journal of System Assurance Engineering and Management, 3, 1, 47–63, March 2012.
  • [5] Muchiri P., Pintelon L., Gelders L., Martin H., Development of maintenance function performance measurement framework and indicators, Int. J. Production Economics, 131, 295–302, 2011.
  • [6] Bass B.M., Avolio B.J., Improving Organizational Effectiveness Through Transformational Leadership, Sage Pub. Inc., 1994.
  • [7] Van Horenbeek A., Pintelon L., Muchiri P., Maintenance optimization models and criteria, Int. J. Syst. Assur. Eng. Manag., 1 (3), 189–200, July-Sept. 2010.
  • [8] Rosqvist T., Laakso K., Reunanen M., Value-driven maintenance planning for a production plant, Reliability Engineering and System Safety, 94, 1, 97–110, January 2009.
  • [9] Horenbeek A., Pintelon L., Muchiri P., Maintenance optimization models and criteria, International Journal of System Assurance Engineering and Management, 1, 3, 189–200, September 2010.
  • [10] Mosaddar D., Shojaie A., A data mining model to identify inefficient maintenance activities, International Journal of System Assurance Engineering and Management, 4, 2, 182–192, June 2013.
  • [11] Shum Yu-Su, Gong D.-Ch., The application of genetic algorithm in the development of preventive maintenance analytic model, The International Journal of Advanced Manufacturing Technology, 32, 1–2, 169–183, February 2007.
  • [12] Imai M., Kaizen, Kaizen Institute Polska, MT Biznes Ltd., 2007.
  • [13] Laszkiewicz M., Maintenance is a strategic business asset [in Polish: Utrzymanie ruchu to strategiczne aktywa firmy], Trade Media International [Inżynieria & Utrzymanie Ruchu Zakładów Przemysłowych], Warszawa, March 2005.
  • [14] Schutz J., Rezg N., Léger J.-B., An integrated strategy for efficient business plan and maintenance plan for systems with a dynamic failure distribution, Journal of Intelligent Manufacturing, 24, 1, 87–97, February 2013.
  • [15] Yang Z.M., Djurdjanovic D., Ni J., Maintenance scheduling in manufacturing systems based on predicted machine degradation, J. Intell. Manuf., 19, 87–98, 2008.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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