Optimal maintenance center inventories for fault-tolerant repairable systems

1984 ◽  
Vol 4 (2) ◽  
pp. 175-181 ◽  
Author(s):  
Sidney H. Lawrence ◽  
Margaret K. Schaefer
1991 ◽  
Vol 28 (02) ◽  
pp. 384-396 ◽  
Author(s):  
Wolfgang Stadje ◽  
Dror Zuckerman

In this study we examine repairable systems with random lifetime. Upon failure, a maintenance action, specifying the degree of repair, is taken by a controller. The objective is to determine an age-dependent maintenance strategy which minimizes the total expected discounted cost over an infinite planning horizon. Using several properties of the optimal policy which are derived in this study, we propose analytical and numerical methods for determining the optimal maintenance strategy. In order to obtain a better insight regarding the structure and nature of the optimal policy and to illustrate computational procedures, a numerical example is analysed. The proposed maintenance model outlines a new research channel in the area of reliability with interesting theoretical issues and a wide range of potential applications in various fields such as product design, inventory systems for spare parts, and management of maintenance crews.


2007 ◽  
Vol 39 (1) ◽  
pp. 48-53 ◽  
Author(s):  
Gustavo L. Gilardoni ◽  
Enrico A. Colosimo

2017 ◽  
Vol 34 (3) ◽  
pp. 446-458 ◽  
Author(s):  
Mahtab J. Fard ◽  
Sattar Ameri ◽  
Syed Reza Hejazi ◽  
Ali Zeinal Hamadani

Purpose The purpose of this paper is to propose a procedure to construct the membership functions for a one-unit repairable system, which has both active and standby redundancy. The coverage factor is the same for the operating and standby unit failure. Design/methodology/approach The α-cut approach is used to extract a family of conventional crisp intervals from the fuzzy repairable system for the desired system characteristics. This can be determined with a set of non-linear parametric programing using the membership functions. Findings When system characteristics are governed by the membership functions, more information is provided to use by management. On the other hand, fuzzy theory is applied for the redundant system; therefore, the results are more useful for designers and practitioners. Originality/value Different from other studies, the authors’ model provides more accurate estimation compared to uncertain environments based on fuzzy theory. The research would help managers and manufactures to make a better decision in order to have the optimal maintenance strategy based on the desired mean time to failure and availability of the systems.


1991 ◽  
Vol 28 (2) ◽  
pp. 384-396 ◽  
Author(s):  
Wolfgang Stadje ◽  
Dror Zuckerman

In this study we examine repairable systems with random lifetime. Upon failure, a maintenance action, specifying the degree of repair, is taken by a controller. The objective is to determine an age-dependent maintenance strategy which minimizes the total expected discounted cost over an infinite planning horizon. Using several properties of the optimal policy which are derived in this study, we propose analytical and numerical methods for determining the optimal maintenance strategy. In order to obtain a better insight regarding the structure and nature of the optimal policy and to illustrate computational procedures, a numerical example is analysed. The proposed maintenance model outlines a new research channel in the area of reliability with interesting theoretical issues and a wide range of potential applications in various fields such as product design, inventory systems for spare parts, and management of maintenance crews.


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