Use of PROMETHEE Method for Decision Making in Bus Fleet Maintenance Proposal of Framework

An Integrated DEA and PROMETHEE II Method for Complete Ranking: An Application in Life-Insurance Sector

“…PROMETHEE was first proposed by Jean Pierre Brans in 1984. This method belongs to the category of subordination relationships methods over classification, letting the ranking of alternatives from best to worst (Sanches et al, 2019). The method is based on mutual comparison of each alternative with respect to each of the criterion [15].…”

Predictive Maintenance of Bus Fleet by Intelligent Smart Electronic Board Implementing Artificial Intelligence

“…A full architecture able to implement all the facilities fleet management, including the use of external sensors and microcontrollers, has been analyzed in [25]. Different frameworks have been proposed for decision-making processes in bus fleet maintenance [26]. Concerning driver behavior, clustering techniques are suitable to classify characteristics such as safe and ecological driving [27].…”

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“…In companies of road transport sector, the efficient use of assets is linked to a well-structured fleet assessment and replacement policy. Some cases of fleet replacement applied to the city bus segment are reported in ( [13], [28], [39], [47], [84], [88], [89], [91], [92], [93], [94], [95], [96], [97], [98], [99], [111] and [118]). [13] proposes a policy for optimal replacement intervals for programming technical systems based only on the maintenance cost parameter: a system is replaced by a new one as soon as the maintenance cost within a replacement cycle reaches or exceeds one certain level.…”

“…A numerical solution is proposed and illustrated by [99], using data from a given fleet, they considered a two-cycle replacement model, with decision variables based on the age of replacement of the current fleet, where the size of the new fleet is considered, the optimal values for the decision variables can be found by minimizing the total cost discounted per unit of time or the value of the equivalent income. Many studies consider reliability parameters and maintenance costs to help assess more rational replacement decisions, for example: ( [88], [89], [91], [92], [93], [94], [95], [96], [97], [98], [99], [111] and [118]).…”

“…There are other tools that can contribute to the development of a new model of vehicle replacement optimization, such as, Fuzzy Logic and the Support Vector Machine (SVM): ( [21], [24], [27], [86], [106] and [115]). Regarding predictive maintenance, and specifically the analysis of oils, some mathematical models and concepts were used, which are referenced by the following authors: ( [4], [5], [17], [19], [32], [33], [40], [56], [57], [58], [66], [88], [89], [91], [92], [93], [94], [95], [96], [97], [98], [99] and [116]). [5] justifies the utility and necessity of mathematics in engineering, analysing the main mathematics courses in engineering courses, reflecting on the real or desirable connection between mathematics and engineering courses.…”