Evaluation of a maintenance strategy by the analysis of the rate of repair

Abstract

The evaluation of maintenance strategies is a problem which has been widely tackled. However, it remains a topic worthy of consideration since the economic stakes peculiar to this activity are huge. The work presented in this paper deals with this problem under the point of view of data feedback. A statistical analysis is made from the examination of the forms of the failure rate distribution. The laws resulting from the implementation of a given maintenance strategy inform us about the relevance of the choices representative of this strategy. The construction of these laws from a raw time of repair is a global approach which tends to hide the induced phenomenon. A decomposition of the repair process into phases allows us to better identify the influence of the strategy parameters. The analysis of each elementary phase distribution is interesting since it gives information about the performance of the implemented maintenance strategy.

Understanding short‐ and long‐term implications of “myopic” fleet maintenance policies: a system dynamics application to a city bus company

“…• intelligent maintenance optimization systems for preventive maintenance (Kobbacy, 2004); • effi cient search algorithms to fi nd optimal solutions for the transportation fl eet maintenance scheduling problem (Huang and Yao, 2008); • total cost models to determine the policy that minimizes the total operating and maintenance cost of the transport fl eet (Goyal and Gunasekaran, 1992); • statistical analyses of past data on the rate of repair to determine laws to evaluate maintenance strategies (Pérès and Noyes, 2003); and • regression models to determine optimal planning of maintenance strategies (Ansell et al, 2003).…”

A Fuzzy Cognitive Maps Tool for Developing a RBI&M Model

“…The strategies of maintenance are as diverse and varied as are the systems of production to which they are applied. Beyond their differences, the objective of each of these strategies is to maintain the system of production in a working condition as long as possible or to restore it as quickly as possible in the case of failure . Moreover, in many PM policies, the decision parameters, such as preventive threshold and inspection schedule, are optimised based on only the maintenance cost per time unit without taking into consideration the productivity, which may depend on the system condition …”

“…Beyond their differences, the objective of each of these strategies is to maintain the system of production in a working condition as long as possible or to restore it as quickly as possible in the case of failure. 43 Moreover, in many PM policies, the decision parameters, such as preventive threshold and inspection schedule, are optimised based on only the maintenance cost per time unit without taking into consideration the productivity, which may depend on the system condition. 42 As far as the workers are concerned, each head of a shift, when issuing a work order (WO) in the light of a near accident, operational accident, injury or environmental accident, must fill in properly all the items required by the computerised maintenance management system (CMMS) present in the refinery.…”

Simultaneous control of production, repair/replacement and preventive maintenance of deteriorating manufacturing systems

“…Such a repair is called an imperfect repair as in Liao (2007). The imperfect repair model has been well documented, for repair and replacement policies in manufacturing systems (Kijima et al (1988), Pérès and Noyes (2003)). Unfortunately, most available results concern only cases where production and demand satisfaction are not taken into account.…”