Optimality of control limit maintenance policies under non stationary deterioration

被引:18
作者
Benyamini, Z [1 ]
Yechiali, U [1 ]
机构
[1] Tel Aviv Univ, Sch Math Sci, Dept Stat & Operat Res, IL-69978 Tel Aviv, Israel
关键词
D O I
10.1017/S026996489913105X
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Control limit type policies are widely discussed in the literature, particularly regarding the maintenance of deteriorating systems. Previous studies deal mainly with stationary deterioration processes, where costs and transition probabilities depend only on the state of the system, regardless of its cumulative age. In this paper, we consider a nonstationary deterioration process, in which operation and maintenance costs, as well as transition probabilities "deteriorate" with both the system's state and its cumulative age. We discuss conditions under which control limit policies are optimal for such processes and compare them with those used in the analysis of stationary models. Two maintenance models are examined: in the first (as in the majority of classic studies), the only maintenance action allowed is the replacement of the system by a new one. In this case, we show that the nonstationary results are direct generalizations of their counterparts in stationary models. We propose an efficient algorithm for finding the optimal policy, utilizing its control limit form. In the second model we also allow for repairs to better states (without changing the age). In this case, the optimal policy is shown to have the form of a 3-way control limit rule. However, conditions analogous to those used in the stationary problem do not suffice, so additional, more restrictive ones are suggested and discussed.
引用
收藏
页码:55 / 70
页数:16
相关论文
共 12 条
[1]  
Derman C, 1963, MATH OPTIMIZATION TE, V396, P201, DOI 10.1525/9780520319875-011
[2]  
DERMAN C, 1970, FINITE STATE MARKOVI
[3]  
Douer N., 1994, Commun.Stat. Stoch. Models, V10, P253, DOI DOI 10.1080/15326349408807295
[4]   OPTIMAL REPLACEMENT RULES WHEN CHANGES OF STATE ARE SEMI-MARKOVIAN [J].
KAO, EPC .
OPERATIONS RESEARCH, 1973, 21 (06) :1231-1249
[5]   PERIODICAL REPLACEMENT-PROBLEM WITHOUT ASSUMING MINIMAL REPAIR [J].
KIJIMA, M ;
MORIMURA, H ;
SUZUKI, Y .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1988, 37 (02) :194-203
[6]  
Kolesar P, 1966, MANAGE SCI, V12, P694
[7]  
LAM CT, 1994, NAV RES LOG, V41, P303, DOI 10.1002/1520-6750(199404)41:3<303::AID-NAV3220410302>3.0.CO
[8]  
2-2
[9]  
Puterman M.L., 2008, Markov Decision Processes: Discrete Stochastic Dynamic Programming. Wiley Series in Probability and Statistics
[10]  
SO KC, 1992, NAV RES LOG, V39, P685, DOI 10.1002/1520-6750(199208)39:5<685::AID-NAV3220390507>3.0.CO