Selecting optimum maintenance strategy by fuzzy interactive linear assignment method

Abstract

a b s t r a c tIn the current competitive environment managers of manufacturing and service organizations try to make their organizations competitive by providing timely delivery of high quality products. Maintenance, as a system, plays a key role in reducing cost, minimizing equipment downtime, improving quality, increasing productivity and providing reliable equipment and as a result achieving organizational goals and objectives. This paper presents a new approach for selecting optimum maintenance strategy using qualitative and quantitative data through interaction with the maintenance experts. This approach has been based on linear assignment method (LAM) with some modifications to develop interactive fuzzy linear assignment method (IFLAM).The proposed approach is an interactive method which uses qualitative and quantitative data to rank the maintenance strategies. This method helps managers to find the best maintenance strategy based on the determined criteria. Maintenance experts also can provide and modify their preference information gradually within the interaction process so as to make the result more reasonable. The proposed method has been illustrated by a numerical example.

An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning

“…This process is repeated for observations until a predetermined acceptable value of the error is achieved, usually using the mean square error (MSE), which is defined in (13). To ensure a rapid convergence of the iterative method, we usually use mathematical optimization methods; in this case, we use Bayesian Regularization [38].…”

“…Thus, the literature review, carried out by Mardani et al [12] about the fuzzy multiple criteria decision-making techniques, found that, in maintenance environments, the fuzzy approach is utilized in strategic framework, in the long term as, for example, in the selection of the maintenance strategy [13][14][15] or the maintenance policy [16]. This could be extensible to projects [17,18] or in civil engineering [19] environments where there is more uncertainty due to the different conditions of each event.…”

A multi-hierarchical framework for ranking maintenance sustainability strategies using PROMETHEE and fuzzy entropy methods

“…Their model has the capacity to reduce cost due to failure. Bashiri et al [5] used a fuzzy interactive linear assignments method to determine optional selection strategy for maintenance system. The method was claimed to be easily adaptable by managers.…”

Strategic maintenance technique selection using combined quality function deployment, the analytic hierarchy process and the benefit of doubt approach

“…Garcia et al [14] present application of Intelligent System for Predictive Maintenance (SIMAP) to the health condition monitoring of a wind turbine gearbox. Katchasuwanmanee et al [15] propose a thermal and energy-management prototype system e-ProMan for application in SME manufacturing environments.…”

“…Although this method considers both strategic, technical and managerial criteria, it does not build any relationship between management and technical requirements. Bashiri et al [14] present an approach for selecting optimum maintenance strategy using both qualitative and quantitative data through interactions with the maintenance experts based on linear assignment method (LAM) with interactive fuzzy linear assignment method (IFLAM). Chemweno et al [19] propose a risk assessment technique in maintenance decision-making domain using the analytic network process.…”