Maintenance Strategy Optimization Method Based on Semi-Markov Process for Hybrid Flow Shop

Lin Huo; Zi Li Wang; Chuan Lv; Dong Zhou

doi:10.4028/www.scientific.net/AMM.437.783

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 437Maintenance Strategy Optimization Method Based on...

Maintenance Strategy Optimization Method Based on Semi-Markov Process for Hybrid Flow Shop

Abstract:

As availability of HFS is a basic indicator to measure the degree of usability, optimal maintenance strategy with maximum availability and cost constraints can provide a better platform for HFS scheduling. So this paper proposes a Semi-Markov Process (SMP) based availability model here focused on general maintenance strategy with machines life time distribution and maintenance time distribution. Then the maintainability parameters optimization method with total cost constrains is achieved based on the availability model. Furthermore, the proposed optimization method is applied to a two-stage HFS and showed to be effective.

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Periodical:

Applied Mechanics and Materials (Volume 437)

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783-786

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.437.783

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Online since:

October 2013

Authors:

Lin Huo*, Zi Li Wang, Chuan Lv, Dong Zhou

Keywords:

Availability Model, Maintenance Strategy Optimization, Semi-Markov Process

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References

[1] Ruiz, R. and J.A. Vázquez-Rodríguez, The hybrid flow shop scheduling problem. European Journal of Operational Research, 2010, 205(1), pp.1-18.

DOI: 10.1016/j.ejor.2009.09.024

Google Scholar

[2] Besbes, W., J. Teghem and T. Loukil, Scheduling hybrid flow shop problem with non-fixed availability constraints. EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING, 2010, 4(4).

DOI: 10.1504/ejie.2010.035652

Google Scholar

[3] Allaoui, H. and A. Artiba, Integrating simulation and optimization to schedule a hybrid flow shop with maintenance constraints. Computers & Industrial Engineering, 2004, 47(4): pp.431-450.

DOI: 10.1016/j.cie.2004.09.002

Google Scholar

[4] Kaufman, N. Weapon System Availability Models and the Estima-tion of Their Parameters.

Google Scholar

[5] Coleman, J.J., Evaluation of automatic checkout for system availability. Society of Automotive Engineers, 400 Commonwealth Dr, Warrendale, PA, 15096, USA.

Google Scholar

[6] Wood, A., Availability modeling. Circuits and Devices Magazine, IEEE, 1994, pp.22-27.

Google Scholar

[7] Mettas, A, Modeling and analysis of repairable systems with general repair, (2005).

Google Scholar

[8] Ouhbi, B. and N. Limnios, Nonparametric reliability estimation of semi-Markov processes. Journal of Statistical Planning and Inference, 2003, 109(1–2), pp.155-165.

DOI: 10.1016/s0378-3758(02)00308-7

Google Scholar

[9] Çekyay, B. and S. Özekici, Mean time to failure and availability of semi-Markov missions with maximal repair. European Journal of Operational Research, 2010, 207(3), pp.1442-1454.

DOI: 10.1016/j.ejor.2010.07.019

Google Scholar