A fuzzy-grey- weighted aggregate sum product assessment methodical approach for multi-criteria analysis of maintenance performance systems

摘要

Diverse maintenance performance models have been previously proposed inudliterature. However, many of these frameworks perform inefficiently or are notudapplicable in real-world problems due to their over-simplified assumptions. Suchudmodels do not take into account peculiarities of the maintenance situation in whichudmultiple factors need to be prioritised under uncertain conditions. Keeping the aboveudissues in mind, this communication proposes a framework for ranking maintenanceudperformance systems using integrated fuzzy entropy weighting method, greyudrelational analysis (GRA) and weighted aggregate sum product assessmentud(WASPAS). The values of criteria weights were determined using fuzz entropyudweighting method. Ranking was carried out using GRA and WASPAS methods. GRAudranking considered a criterion, while WASPAS method considered multi-criteria. It isudthe belief of the authors that merging these three mentioned tools generates synergy.udThe synergic advantage of the fusion is that these tools interact to create the combinedudresults of ability to handle logic decisions, or partial information and choice amongudcomplex alternatives, demonstrated in this paper. The built-up frame-work wasudillustrated with practical data from five manufacturing companies operating in Nigeriaudwith information gathered through the questionnaire approach to show that theudapproach can be effectively implemented in practice. Based on the proposedudframework’s results, the highest ranked maintenance system belongs to companies 4udand 5, while the lowest ranked maintenance system belongs to company 5. TOPSISudmethod was used to determine the best performing maintenance function of theudcompanies. It was observed that maintenance system of company 4 was the highestudranked system. The results from model testing confirmed that the presented scheme isudfeasibility in industrial settings, efficient and capable of revealing the best company inudperformance according to certain six input criteria. The novelty of this approach is itsuduniqueness of the combined frameworks’ structures in achieving the highest accuracyudof estimation, introduced for the first time in maintenance performance assessment inuda multi-criteria framework