Management decision making based on Markov reward models for refrigeration system

• Autorzy: Frenkel I. , Khvatskin L. , Lisnianski A.
• Języki publikacji: EN

Abstrakty

EN

This paper presents a method for calculation the reliability measures of multi-state supermarket refrigeration system for decision making of system structure, where the system and its components can have different performance levels ranging from perfect functioning to complete failure. The suggested approach presents the Markov reward models for computation of average availability, total number of system’s elements failures and mean time to system failure for multi-state system. Corresponding procedures for reward matrix definition is suggested. A numerical example is presented in order to illustrate the approach.

Słowa kluczowe

EN

Markov reward models; reliability measures; average availability; MTTF; refrigeration system

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2010
• Tom: Vol. 1, No. 1
• Strony: 89--98
• Opis fizyczny: Bibliogr. 6 poz., rys., wykr.

Twórcy

autor

Frenkel I.

• Center for Reliability and Risk Management, SCE - Shamoon College of Engineering, Beer Sheva, Israel

autor

Khvatskin L.

• Center for Reliability and Risk Management, SCE - Shamoon College of Engineering, Beer Sheva, Israel

autor

Lisnianski A.

• The Israel Electric Corporation Ltd., Haifa, Israel

Bibliografia

• [1] Baxter, V. (2002). Advances in Supermarket Refrigeration Systems. Proceedings of the 7th International Energy Agency Heat Pump Conference, Beijing, China, May 19-22.
• [2] Howard, R. (1960). Dynamic Programming and Markov Processes. MIT Press, Cambridge, Massachusetts.
• [3] IEA Annex 26: Advanced Supermarket Refrigeration/Heat Recovery Systems, Final Report Volume 1, Oak Ridge National Laboratory, Oak Ridge, TN, USA, 2003.
• [4] Lisnianski, A., Frenkel, I., Khvatskin, L. & Ding Yi. (2007). Markov Reward Model for Multi-State System Reliability Assessment. In F. Vonta, M. Nikulin, N. Limnios, C. Huber-Carol (eds), Statistical Models and Methods for Biomedical and Technical Systems. Birkhaüser, Boston, 153-168.
• [5] Lisnianski, A. & Frenkel, I. (2009). Non-Homogeneous Markov Reward Model for Aging Multi-State System under Minimal Repair. International Journal of Performability Engineering, 5, 4, 303-312.
• [6] Lisnianski, A. & Levitin, G. (2003). Multi-state System Reliability. Assessment, Optimization and Applications. World Scientific, NJ, London, Singapore.