Abstract
This paper addresses the maintenance staffing planning process and the role simulation plays in this process. Feedback control notion is utilized in this personnel planning problem. The research investigates the tradeoffs between maintenance personnel staffing levels and the throughput of a production line. The more reactive maintenance (RM) personnel on staff, the lower the probability that a given repair will be delayed waiting for an available personnel. On the other hand, increasing the number of personnel increases labor costs while reducing the utilization of RM labor resources. What makes this tradeoff complicated is that the magnitude of the impact of reactive maintenance delays varies considerably between bottleneck and non-bottleneck stations. The tradeoff is examined, factoring in both labor costs and the cost of lost throughput. An approach is developed for determining RM staffing levels that minimize overall costs.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Barlas, Y., & Diker, G. V. (1996). An interactive dynamic simulation model of a university management system. 1996 ACM 0-89791-820-7.
Chang, Q., Ni, J., Bandyopadhyay, P., Biller, S., & Xiao, G. (2006a). Short-term system bottleneck identification. In Proceedings of The 7th international conference on frontiers of design and manufacturing, June 19–22, 2006, Guangzhou, China, pp. 203–208.
Chang, Q., Ni, J., Bandyopadhyay, P., Biller, S., & Xiao, G. (2006b). Maintenance opportunity planning system. In Proceedings of 2006 international symposium on flexible automation, July 10–12, 2006, Osaka, Japan, pp. 244–251.
Klungle, R. (1999). Simulation of a claims call center: A success and a failure. In P. A. Farrington, H. B. Nembhard, D. T. Sturrock, & G. W. Evans (Eds.), Proceedings of the 1999 winter simulation conference.
Parker, R. S., & Marriott, A. J. (1999). “Personnel forecasting strategic workforce planning’ A proposed simulation cost modeling methodology. In P. A. Farrington, H. B. Nembhard, D. T. Sturrock, & G. W. Evans (Eds.), Proceedings of the 1999 winter simulation conference.
Yang, Z., Chang, Q., Djurdjanovic, D., Ni, J., & Lee, J. (2004). Maintenance priority assignment utilizing online production information. In Proceedings of 2004 Japan – USA symposium on flexible automation, Denver, Colorado.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Chang, Q., Ni, J., Bandyopadhyay, P. et al. Maintenance staffing management. J Intell Manuf 18, 351–360 (2007). https://doi.org/10.1007/s10845-007-0027-7
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10845-007-0027-7