Abstract
In this paper, maintenance costs of contractor support and enterprise independent support were analyzed with respect to preventive maintenance (PM) and corrective maintenance (CM). On this basis, the costs under the two categories in a contract period were integrated and a model was developed for decision making on the optimization of maintenance task partitioning. It was shown from an example that cost savings can result from optimizing partition of maintenance task between contractors and enterprises.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Anupindi R, Bassok Y (1999) Supply contracts with quantity commitments and stochastic demand. In: Tayur S, Ganeshan R, Magazine M (eds) Quantitative models for supply chain management, vol 15(21). Kluwer Academic Publishers, Norwell, pp 197–232
Bassok Y, Bixby A, Srinivasan R, Wiesel HZ (1997) Design of component supply contract with commitment revision flexibility. IBM J Res Dev 41(6):693–704
Tsay AA (1999) The quantity flexibility contract and supplier-customer incentives. Manage Sci 45(10):1339–1358
Paul L, James B, Byrne PJ, Cathal H (2007) Exploring the benefits of discrete-event simulation. Int J Prod Econ 110(2):97–114
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hongqiang, G., Zhao, J. (2013). Cost Modeling for Determining Maintenance Task of Contractor. In: Yang, Y., Ma, M. (eds) Proceedings of the 2nd International Conference on Green Communications and Networks 2012 (GCN 2012): Volume 5. Lecture Notes in Electrical Engineering, vol 227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35398-7_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-35398-7_31
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35397-0
Online ISBN: 978-3-642-35398-7
eBook Packages: EngineeringEngineering (R0)