Weitere Kapitel dieses Buchs durch Wischen aufrufen
While the process industry, generally shows a high awareness on the financial implications of low availability, the manufacturing industry is still quite ignorant. The traditional setup of discrete item manufacturing systems has been fairly forgiving of low availability. However, by applying lean principles, the discrete item production system resembles process industry, regarding sensitivity to disturbances. Still, the awareness of the financial impact of downtime seems to be low in manufacturing industry. This is a problem since it makes it harder to justify costs for investments in increased availability. This paper presents a study of the view and attitudes towards the cost of downtime in Swedish manufacturing industry. The answers indicate that the respondents have rather vague ideas of the costs associated with downtime. Further, they rarely quantify the downtime costs that often associated with maintenance of production equipment. However, without any proper financial measures for downtime costs, the companies lack proper incentives for investing time and resources on the necessary optimization of their maintenance programs.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Ahlman, H. R. (2002). From traditional practice to the new understanding: The significance of life cycle profit concept in the management of industrial enterprises. In IFRIMmmm Conference, Växjö Sweden.
Crumrine, D., & Post, D. (2006). When true cost of downtime is unknown, bad decisions ensue. InTech, 53(1), 55.
Fox, J. P., Brammall, J. R., & Yarlagadda, P. K. (2008). Determination of the financial impact of machine downtime on the Australia Post large letters sorting process. In Global Congress on Manufacturing and Management (GCMM) Board.
Fuerst, M. J., Vorster, M. C., & Hicks, D. K. (1991). A model for calculating cost of equipment downtime and lack of availability in directorates of engineering and housing (No. CERL-TR-P-91/16). Construction Engineering Research Lab (Army) Champaign, IL.
Gryna, F. M. (1999). Quality and costs. Juran’s quality handbook (5th ed.). New York: McGraw-Hill.
Holmberg, K. (2001). Competitive reliability 1996–2000. Technology Programme Report 5/2001, Final Report. Helsinki: National Technology Agency.
Lincoln, A. R. (2013). Development of a dynamic costing model for assessing downtime and unused capacity costs in manufacturing. Atlanta, USA: Georgia Institute of Technology Publishing.
Naiknaware, D. M., & Pimplikar, S. S. (2013). Equipment costs associated with downtime and lack of availability. International Journal of Engineering Research and Applications, 3(4), 327–332.
Nepal, M. P., & Park, M. (2004). Downtime model development for construction equipment management. Engineering. Construction and Architectural Management, 11(3), 199–210. CrossRef
Plant2Business Solutions. (2001). Downtime analysis: Managing production efficiency.
Sondalini, M. (2011). Defect and failure true cost. Feed forward Publications, ESBN:F36-048C-2326-11B3
Ståhl, J. E., Gabrielson, P., Andersson, C., & Jönsson, M. (2012). Dynamic manufacturing costs—Describing the dynamic behaviour of downtimes from a cost perspective. CIRP Journal of Manufacturing Science and Technology, 5(4), 284–295. CrossRef
Wiersema, W. H. (2005). Conquering downtime: Unless an effort is made to expose downtime, the cost remains largely hidden and can escalate out of control. Electrical Apparatus, 58(12), 34.
- Downtime Costing—Attitudes in Swedish Manufacturing Industry
Neuer Inhalt/© Stellmach, Neuer Inhalt/© Maturus, Pluta Logo/© Pluta, digitale Transformation/© Maksym Yemelyanov | Fotolia