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A fuzzy sets approach to new product portfolio management

Bilalis Nikolaos, Lolos D., Antoniadis Aristomenis, Emiris Dimitris

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URIhttp://purl.tuc.gr/dl/dias/1A5068DF-7CAB-411D-8210-BEB72DB9FF4F-
Identifierhttps://doi.org/10.1109/IEMC.2002.1038480-
Identifierhttp://www.m3.tuc.gr/antoniadis/13.%20INTERNATIONAL%20CONFERENCES/13.18.pdf-
Languageen-
Extent6 pagesen
TitleA fuzzy sets approach to new product portfolio managementen
CreatorBilalis Nikolaosen
CreatorΜπιλαλης Νικολαοςel
CreatorLolos D.en
CreatorAntoniadis Aristomenisen
CreatorΑντωνιαδης Αριστομενηςel
CreatorEmiris Dimitrisen
CreatorΕμιρης Δημητρηςel
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryThe evaluation of R&D projects in a high technology firm is very important. A lot of them quite often do not lead to new products as management did not take into consideration indexes such as probability of commercial success, technological success, strategic fit, etc which cannot be expressed in a quantitative form. An efficient and reliable approach for evaluating R&D projects capable of handling simultaneously the quantitative and qualitative criteria involved based on the theory of Fuzzy Logic is presented and a software model of the approach has been developed and tested in a real environment. It is a multiple criteria decisionmaking method where all projects are rated according to a number of quantitative and qualitative criteria capturing possibilities of technical and commercial success and the consistency of the projects with business strategy. We report on the criteria used for the evaluation of the projects and on the operation of the software model.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-15-
Date of Publication2002-
SubjectNew productsen
SubjectPortfolio managementen
Bibliographic CitationN. Bilalis, D. Lolos, A. Antoniadis and D. Emiris, "A fuzzy sets approach to new product portfolio management," in IEEE International Engineering Management Conference, 2002. doi: 10.1109/IEMC.2002.1038480en

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