An Intelligent Approach To Evaluating Cad Software Packages Through Hesitant Fuzzy Ahp

dc.authorid Ayağ, Zeki/0000-0003-4078-2804
dc.authorwosid Ayağ, Zeki/IWD-9525-2023
dc.contributor.author Ayag, Zeki
dc.contributor.author Ayağ, Zeki
dc.contributor.other Industrial Engineering
dc.date.accessioned 2023-10-19T15:13:10Z
dc.date.available 2023-10-19T15:13:10Z
dc.date.issued 2022
dc.department-temp [Ayag, Zeki] Kadir Has Univ, Fac Engn & Nat Sci, Dept Ind Engn, TR-34083 Istanbul, Turkey en_US
dc.description.abstract The evaluation of computer-aided design (CAD) packages among the rising number of alternatives in the market has been a critical process for companies because it directly affects the performance of their design/engineering-related activities in a new product development (NPD) as well as in R&D departments. Moreover, it is seen as an important step towards the computer-integrated manufacturing (CIM) environment. On the other hand, the evaluation process of CAD software packages is a multiple-criteria decision-making (MCDM) problem in the presence of sets of alternatives and evaluation criteria, which should be solved using one of the MCDM methods in the current literature. Therefore, in this study, the analytic hierarchy process (AHP), successfully implemented in both academic research and practices, is used for CAD software selection problem. The method is also used with the group decision-making approach to reach a more reliable solution. Additionally, due to the fact that the crisp pairwise comparison in the traditional AHP method seems to be insufficient and imprecise to capture the right judgments of decision makers (DMs), the hesitant fuzzy linguistic term-sets are integrated with the AHP approach (the hesitant F-AHP) to model the vagueness and uncertainty on judgments of the DMs. This proposed approach is also supported with a user-friendly Excel template that provides an effective tool for companies to evaluate and rank CAD software packages without many tiresome fuzzy comparisons and complex calculations. Moreover, in the paper, a numerical example is presented to demonstrate the effectiveness and applicability of the proposed approach to potential readers and practitioners. In this example, five CAD software options are evaluated based on six criteria by three DMs; and the best alternative is determined. en_US
dc.identifier.citationcount 0
dc.identifier.doi 10.1142/S0219686722500056 en_US
dc.identifier.endpage 335 en_US
dc.identifier.issn 0219-6867
dc.identifier.issn 1793-6896
dc.identifier.issue 2 en_US
dc.identifier.scopus 2-s2.0-85117219443 en_US
dc.identifier.scopusquality Q3
dc.identifier.startpage 317 en_US
dc.identifier.uri https://doi.org/10.1142/S0219686722500056
dc.identifier.uri https://hdl.handle.net/20.500.12469/5621
dc.identifier.volume 21 en_US
dc.identifier.wos WOS:000820589900003 en_US
dc.institutionauthor Ayag, Zeki
dc.khas 20231019-WoS en_US
dc.language.iso en en_US
dc.publisher World Scientific Publ Co Pte Ltd en_US
dc.relation.ispartof Journal of Advanced Manufacturing Systems en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 3
dc.subject Group Decision-Making
dc.subject Selection
dc.subject Group Decision-Making En_Us
dc.subject Location
dc.subject Selection En_Us
dc.subject CAD software package selection en_US
dc.subject Location En_Us
dc.subject hesitant fuzzy logic en_US
dc.subject System
dc.subject analytic hierarchy process en_US
dc.subject System En_Us
dc.subject multiple-criteria decision-making en_US
dc.title An Intelligent Approach To Evaluating Cad Software Packages Through Hesitant Fuzzy Ahp en_US
dc.type Article en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication
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