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Management decision making based on Markov reward models for refrigeration system

Frenkel I., Khvatskin L., Lisnianski A.

Journal of Polish Safety and Reliability Association

2010

Vol. 1, No. 1

89--98

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.

Redundant systems shutdown during low capacity peration

Lisnianski A., Laredo D., Haim H.B.

Eksploatacja i Niezawodność

2006

nr 2

23-25

Two possible operation modes of various pumps with redundancy in electric power generating units during low load periods (night) were analyzed. The first mode - two of three pumps work at night with 25% of nominal capacity, the third pump is a cold (passive) reserve. The second mode - one pump works at night with 50% of nominal capacity, two pumps are in cold reserve. A Markov reward model was built for the comparison analysis of these possible operation modes. The model takes into account all important factors - pumps power consumption, pumps failure rate, pumps starting availability, cost of alternative energy, and penalty cost of energy not supplied. It was shown that under current operation conditions the second operation mode is more effective one.