Development of Decision Support Model for Selecting a Maintenance Plan Using a Fuzzy Mcdm Approach: a Theoretical Framework

dc.authorid Erdebilli, Babek/0000-0001-8860-3903
dc.authorscopusid 57207729718
dc.authorscopusid 6701790086
dc.authorscopusid 44661946600
dc.authorwosid Erdebilli, Babek/L-5982-2013
dc.contributor.author Abdulgader, Fathia Sghayer
dc.contributor.author Eid, Rajeh
dc.contributor.author Rouyendegh (B Erdebilli), Babak Daneshvar
dc.contributor.other Mathematics
dc.contributor.other Computer Engineering
dc.date.accessioned 2024-07-05T15:29:56Z
dc.date.available 2024-07-05T15:29:56Z
dc.date.issued 2018
dc.department Atılım University en_US
dc.department-temp [Abdulgader, Fathia Sghayer; Eid, Rajeh] Atilim Univ, TR-06836 Ankara, Turkey; [Rouyendegh (B Erdebilli), Babak Daneshvar] Ankara Yildirim Beyazit Univ, Dept Ind Engn, TR-06010 Ankara, Turkey en_US
dc.description Erdebilli, Babek/0000-0001-8860-3903 en_US
dc.description.abstract In complex decision making, using multicriteria decision-making (MCDM) methodologies is the most scientific way to ensure an informed and justified decision between several alternatives. MCDMs have been used in different ways and with several applications that proved their efficiency in achieving this goal. In this research, the advantages and disadvantages of the different MCDM methodologies are studied, along with the different techniques implemented to increase their accuracy and precision. The main aim of the study is to develop a hybrid MCDM process that combines the strengths of several MCDM methods and apply it to choose the best fit maintenance policy/strategy for industrial application. Moreover, fuzzy linguistic terms are utilized in all of the used MCDM techniques in order to eliminate the uncertainty and ambiguity of the results. Through an extensive literature review performed on studies that have used MCDM methods in a hybrid context and using fuzzy linguistic terms, a model is developed to use fuzzy DEMATEL-AHP-TOPSIS hybrid technique. The model with its application is the first of its kind, which combines the strengths of fuzzy DEMATEL in establishing interrelationships between several criteria, as well as performing a pairwise comparison between the criteria for prioritization using the fuzzy AHP method. Thereafter, the alternatives are compared using fuzzy TOPSIS method by establishing negative and positive solutions and calculating the relative closeness for each of the alternatives. Furthermore, six main criteria, twenty criteria, and five alternatives are selected from the literature for the model application. en_US
dc.identifier.citationcount 17
dc.identifier.doi 10.1155/2018/9346945
dc.identifier.issn 1687-9724
dc.identifier.issn 1687-9732
dc.identifier.scopus 2-s2.0-85062798308
dc.identifier.scopusquality Q2
dc.identifier.uri https://doi.org/10.1155/2018/9346945
dc.identifier.uri https://hdl.handle.net/20.500.14411/2962
dc.identifier.volume 2018 en_US
dc.identifier.wos WOS:000449919800001
dc.institutionauthor Eid, Rajeh
dc.institutionauthor Ekin, Cansu Çiğdem
dc.language.iso en en_US
dc.publisher Hindawi Ltd en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 27
dc.subject [No Keyword Available] en_US
dc.title Development of Decision Support Model for Selecting a Maintenance Plan Using a Fuzzy Mcdm Approach: a Theoretical Framework en_US
dc.type Article en_US
dc.wos.citedbyCount 22
dspace.entity.type Publication
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