A hybrid approach to concept selection through fuzzy analytic network process |
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| Authors: | Z. Ayağ R.G. Özdemir |
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| Affiliation: | 1. Kadir Has University, Faculty of Engineering, Department of Industrial Engineering, Kadir Has Campus, 34083 Cibali, Istanbul, Turkey;2. Istanbul Kültür University, Faculty of Engineering and Architecture, Department of Industrial Engineering, Atakoy Campus, D-100 Yanyol, 34156 Bakirkoy, Istanbul, Turkey;1. Aquatic Ecodynamics, UWA School of Agriculture and Environment, The University of Western Australia, Crawley WA 6009, Australia;2. Young Researchers and Elites Club, Khorramabad Branch, Islamic Azad University, Khorramabad, Iran;3. Department of Biological and Agricultural Engineering & Zachry Department of Civil Engineering, Texas A&M University, College Station, TX 77843, USA;4. Department of Watershed Management, Sari Agricultural Sciences and Natural Resources University, Sari, Iran;5. Center for Advanced Modeling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and IT, University of Technology Sydney, 2007 NSW, Australia;6. Department of Energy and Mineral Resources Engineering, Choongmu-gwan, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, South Korea;7. Wageningen Environmental Research, Team Soil, Water and Land Use, P.O. Box 47, 6700 AA, Wageningen, the Netherlands;8. Civil, Surveying and Environmental Engineering, The University of Newcastle, Callaghan 2308, Australia;9. Young Researchers and Elites Club, Science and Research Branch, Islamic Azad University, Tehran, Iran;10. Department of Watershed Management Engineering, Faculty of Natural Resources, Tarbiat Modares University (TMU), Noor 46417-76489, Iran;1. Sakarya University, Engineering Faculty, Department of Industrial Engineering, Esentepe Campus, 54187 Serdivan, Sakarya, Turkey;2. Sakarya University, Faculty of Computer and Information Sciences, Esentepe Campus, 54187 Serdivan, Sakarya, Turkey;1. School of Housing, Building and Planning, Universiti Sains Malaysia (USM), 11800, Penang, Malaysia;2. Department of Structure and Materials, Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310, Johor, Malaysia;3. Department of Engineering and Architectural Studies, Ara Institute of Canterbury, 130 Madras Street, Christchurch, New Zealand;4. Green Cities & Construction Research Group (GCCRG), Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia (UTM), Kuala, Lumpur, Malaysia;5. Department of Structure and Materials, Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310, Johor, Malaysia;6. Green Cities & Construction Research Group (GCCRG), Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia (UTM), Kuala, Lumpur, Malaysia |
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| Abstract: | Evaluating conceptual design alternatives in a new product development (NPD) environment has been one of the most critical issues for many companies which try to survive in the fast-growing world markets. Therefore, most companies have used various methods to successfully carry out this difficult and time-consuming evaluation process. Of these methods, analytic hierarchy process (AHP) has been widely used in multiple-criteria decision-making (MCDM) problems. But, in this study, we used analytical network process (ANP), a more general form of AHP, instead of AHP due to the fact that AHP cannot accommodate the variety of interactions, dependencies and feedback between higher and lower level elements. Furthermore, in some cases, due to the vagueness and uncertainty on the judgments of a decision-maker, the crisp pairwise comparison in the conventional ANP is insufficient and imprecise to capture the right judgments of the decision-maker. Therefore, a fuzzy logic is introduced in the pairwise comparison of ANP to make up for this deficiency in the conventional ANP, and is called as fuzzy ANP. In short, in this paper, a fuzzy ANP-based approach is proposed to evaluate a set of conceptual design alternatives developed in a NPD environment in order to reach to the best one satisfying both the needs and expectations of customers, and the engineering specifications of company. In addition, a numerical example is presented to illustrate the proposed approach. |
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