@article{(Open Science Index):https://publications.waset.org/pdf/10002538,
	  title     = {A Simulation-Optimization Approach to Control Production, Subcontracting and Maintenance Decisions for a Deteriorating Production System},
	  author    = {Héctor Rivera-Gómez and  Eva Selene Hernández-Gress and  Oscar Montaño-Arango and  Jose Ramon Corona-Armenta},
	  country	= {},
	  institution	= {},
	  abstract     = {This research studies the joint production,
maintenance and subcontracting control policy for an unreliable
deteriorating manufacturing system. Production activities are
controlled by a derivation of the Hedging Point Policy, and given that
the system is subject to deterioration, it reduces progressively its
capacity to satisfy product demand. Multiple deterioration effects are
considered, reflected mainly in the quality of the parts produced and
the reliability of the machine. Subcontracting is available as support
to satisfy product demand; also, overhaul maintenance can be
conducted to reduce the effects of deterioration. The main objective
of the research is to determine simultaneously the production,
maintenance and subcontracting rate, which minimize the total,
incurred cost. A stochastic dynamic programming model is
developed and solved through a simulation-based approach
composed of statistical analysis and optimization with the response
surface methodology. The obtained results highlight the strong
interactions between production, deterioration and quality, which
justify the development of an integrated model. A numerical example
and a sensitivity analysis are presented to validate our results.},
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {9},
	  number    = {10},
	  year      = {2015},
	  pages     = {1765 - 1774},
	  ee        = {https://publications.waset.org/pdf/10002538},
	  url   	= {https://publications.waset.org/vol/106},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 106, 2015},
	}