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Maintenance practices in Swedish industries: Survey results

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  • Alsyouf, Imad

Abstract

The purpose of this paper is to investigate the maintenance practices that are used in Swedish industry. The study was performed by conducting a cross-sectional survey within Swedish firms that have at least 100 employees. The main results achieved from the study show that the role of maintenance is not highly recognised. There is a need to spend and invest more in maintenance, which is considered by the majority of Swedish industries as a necessary expense. Although about 13% of the maintenance department time is spent on planning maintenance tasks, nevertheless, about one third of the time is spent on unplanned tasks. There is a need for more adoption of maintenance concepts such as total productive maintenance (TPM) and reliability-centred maintenance (RCM). The lack or ineffectiveness of planning and scheduling can significantly restrict the maintenance department in achieving its objectives and can thus prevent the company from maximising business profits and offering competitive advantages.

Suggested Citation

  • Alsyouf, Imad, 2009. "Maintenance practices in Swedish industries: Survey results," International Journal of Production Economics, Elsevier, vol. 121(1), pages 212-223, September.
  • Handle: RePEc:eee:proeco:v:121:y:2009:i:1:p:212-223
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    References listed on IDEAS

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    1. Swanson, Laura, 2003. "An information-processing model of maintenance management," International Journal of Production Economics, Elsevier, vol. 83(1), pages 45-64, January.
    2. Pinjala, Srinivas Kumar & Pintelon, Liliane & Vereecke, Ann, 2006. "An empirical investigation on the relationship between business and maintenance strategies," International Journal of Production Economics, Elsevier, vol. 104(1), pages 214-229, November.
    3. Waeyenbergh, Geert & Pintelon, Liliane, 2002. "A framework for maintenance concept development," International Journal of Production Economics, Elsevier, vol. 77(3), pages 299-313, June.
    4. Swanson, Laura, 2001. "Linking maintenance strategies to performance," International Journal of Production Economics, Elsevier, vol. 70(3), pages 237-244, April.
    5. Al-Najjar, Basim & Alsyouf, Imad, 2004. "Enhancing a company's profitability and competitiveness using integrated vibration-based maintenance: A case study," European Journal of Operational Research, Elsevier, vol. 157(3), pages 643-657, September.
    6. Wang, Hongzhou, 2002. "A survey of maintenance policies of deteriorating systems," European Journal of Operational Research, Elsevier, vol. 139(3), pages 469-489, June.
    7. Wang, Ling & Chu, Jian & Wu, Jun, 2007. "Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 107(1), pages 151-163, May.
    8. Al-Najjar, Basim & Alsyouf, Imad, 2003. "Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making," International Journal of Production Economics, Elsevier, vol. 84(1), pages 85-100, April.
    9. Zanakis, Stelios H. & Solomon, Anthony & Wishart, Nicole & Dublish, Sandipa, 1998. "Multi-attribute decision making: A simulation comparison of select methods," European Journal of Operational Research, Elsevier, vol. 107(3), pages 507-529, June.
    10. Dowlatshahi, Shad, 2008. "The role of industrial maintenance in the maquiladora industry: An empirical analysis," International Journal of Production Economics, Elsevier, vol. 114(1), pages 298-307, July.
    11. Murthy, D. N. P. & Asgharizadeh, E., 1999. "Optimal decision making in a maintenance service operation," European Journal of Operational Research, Elsevier, vol. 116(2), pages 259-273, July.
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    Cited by:

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    2. Jamal Ahmed Hama Kareem & Kadhim Faraj Arif Saeed & Omar Mustafa Muhammad Faraj, 2019. "Maintenance Practices in Poor Uptime of Operating Equipment Toward Dynamic of Business Issues," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-21, April.
    3. Sun, Kaibiao & Li, Hongxing, 2010. "Scheduling problems with multiple maintenance activities and non-preemptive jobs on two identical parallel machines," International Journal of Production Economics, Elsevier, vol. 124(1), pages 151-158, March.
    4. García Alcaraz Jorge Luis & Romero González Jaime & Noriega Morales Salvador, 2012. "El éxito del mantenimiento productivo total y su relación con los factores administrativos," Contaduría y Administración, Accounting and Management, vol. 57(4), pages 173-196, octubre-d.
    5. Dinis, Duarte & Barbosa-Póvoa, Ana & Teixeira, Ângelo Palos, 2022. "Enhancing capacity planning through forecasting: An integrated tool for maintenance of complex product systems," International Journal of Forecasting, Elsevier, vol. 38(1), pages 178-192.
    6. Gary, Linnéusson & Amos, Ng H.C. & Tehseen, Aslam, 2018. "Towards strategic development of maintenance and its effects on production performance by using system dynamics in the automotive industry," International Journal of Production Economics, Elsevier, vol. 200(C), pages 151-169.
    7. Arash Shahin & Mohammad Reza Attarpour, 2011. "Developing Decision Making Grid for Maintenance Policy Making Based on Estimated Range of Overall Equipment Effectiveness," Modern Applied Science, Canadian Center of Science and Education, vol. 5(6), pages 1-86, December.
    8. Iyad Alawaysheh & Imad Alsyouf & Zain El-Abideen Tahboub & Hossam S. Almahasneh, 2020. "Selecting maintenance practices based on environmental criteria: a comparative analysis of theory and practice in the public transport sector in UAE/DUBAI," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1133-1155, December.
    9. A. K. Muchiri & B. W. Ikua & P. N. Muchiri & P. K. Irungu, 2017. "Development of a theoretical framework for evaluating maintenance practices," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 198-207, January.

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