Evaluation of 3D Modeling Programs For Industrial Design Use

Yıl 2020, Cilt: 23 Sayı: 4, 1153 - 1166, 01.12.2020

Hüseyin Özkal Özsoy

https://doi.org/10.2339/politeknik.481241

Cited By: 1

Öz

In
this article, Analytical Hierarchy Process (AHP) which had been used for
evaluation purposes in numerous theoretic and practical fields in academic to
industrial circles is investigated and the use of the method is explained in
detail. The method is then demonstrated on a field study in which 3D modeling
programs are evaluated fur suitability to the industrial design field. At the
results section, the obtained findings are explained, interpreted and methods
possible benefits to the industrial design field is argued. 

Anahtar Kelimeler

Analytical hierarchy process, industrial design, product design, pairwise comparison, software evaluation

Evaluation of 3D Modeling Programs For Industrial Design Use

Öz

In
this article, Analytical Hierarchy Process (AHP) which had been used for
evaluation purposes in numerous theoretic and practical fields in academic to
industrial circles is investigated and the use of the method is explained in
detail. The method is then demonstrated on a field study in which 3D modeling
programs are evaluated fur suitability to the industrial design field. At the
results section, the obtained findings are explained, interpreted and methods
possible benefits to the industrial design field is argued.

Anahtar Kelimeler

Analytical hierarchy process, industrial design, product design, pair-wise comparison, software evaluation

Kaynakça

• T. L. Saaty, The Analytic Hierarchy Process. McGraw-Hill, 1980.
• Z. Ayag, ‘A combined fuzzy AHP-simulation approach to CAD software selection’, Int. J. Gen. Syst., vol. 39, no. 7, pp. 731–756, 2010.
• K. L. Narayan, K. M. Rao, and M. Sarcar, Computer Aided Design and Manufacturing, Eastern Ec. New Delhi: Prentice Hall of India, 2008.
• M. Evans, ‘The Potential of Computer Aided Industrial Design to Act as a Catalyst for Greater Professional Collaboration’, in Collaboration Across Boundaries: Theories, Strategies, and Technology, 1998.
• J. A. W. Mulebeke and L. Zheng, ‘Analytical network process for software selection in product development: A case study’, J. Eng. Technol. Manag., vol. 23, no. 4, pp. 337–352, 2006.
• A. S. Jadhav and R. M. Sonar, ‘Evaluating and selecting software packages: A review’, Inf. Softw. Technol., vol. 51, no. 3, pp. 555–563, 2009.
• L. Xu, Z. Li, S. Li, and F. Tang, ‘A decision support system for product design in concurrent engineering’, Decis. Support Syst., vol. 42, no. 4, pp. 2029–2042, 2007.
• J. H. Myers and M. I. Alpert, ‘Determinant buying attributes: Meaning and Measurement’, J. Mark., vol. 32, pp. 13–20, 1968.
• O. S. Vaidya and S. Kumar, ‘Analytic hierarchy process: An overview of applications’, Eur. J. Oper. Res., vol. 169, no. 1, pp. 1–29, 2006.
• S. C. Cheng, T. C. Chou, C. L. Yang, and H. Y. Chang, ‘A semantic learning for content-based image retrieval using analytical hierarchy process’, Expert Syst. Appl., vol. 28, no. 3, pp. 495–505, 2005.
• V. S. Lai, R. P. Trueblood, and B. K. Wong, ‘Software selection: A case study of the application of the analytical hierarchical process to the selection of a multimedia authoring system’, Inf. Manag., vol. 36, no. 4, pp. 221–232, 1999.
• H. Min, ‘Location analysis of international consolidation terminals using the analytic hierarchy process’, J. Bus. Logist., vol. 15, no. 2, p. 25, 1994.
• H. Ü. Özden, ‘Analitik Hiyerarşi Yönetimi İle İlkokul Seçimi’, Marmara Üniversitesi İkdisadi ve İdari Birimler Derg., vol. 24, no. 1, pp. 299–320, 2008.
• A. Koçak, ‘Yazılım Seçiminde Analitik Hiyerarşi Yöntemi Yaklaşımı Ve Bir Uygulama’, Ege Akad. Bakış Derg., 2003.
• T. L. Saaty, ‘Decision making with the analytic hierarchy process’, Int. J. Serv. Sci., vol. 1, no. 1, p. 83, 2008.
• S. C. Cheng, M. Y. Chen, H. Y. Chang, and T. C. Chou, ‘Semantic-based facial expression recognition using analytical hierarchy process’, Expert Syst. Appl., vol. 33, no. 1, pp. 86–95, 2007.
• F. Zahedi, ‘The Analytic Hierarchy Process: A Survey of the Method and Its Applications’, Interfaces (Providence)., vol. 16, no. 4, pp. 96–108, 1986.
• T. L. Saaty, ‘The analytic hierarchy process: what it is and how it is used’, Math. Model., vol. 9, no. 3, pp. 161–176, 1987.
• A. Kuruüzüm and N. Atsan, ‘Analitik Hi̇yerarşi̇ Yöntemi̇nin İşletmeci̇li̇k Alanındaki̇ Uygulamaları’, Akdeniz İ.İ.B.F Derg., no. 1, pp. 83–105, 2001.
• A. Oğuzlar, ‘Analitik Hiyerarşi Süreci ile Müşteri Şikayetlerinin Analizi.’, Akdeniz İ.İ.B.F Derg., no. 14, pp. 122–134, 2007.
• E. Forman and S. Gass, ‘The Analytic Hierarchy Process – An Exposition’, Oper. Res., vol. 49, no. 4, pp. 469–486, 2001.
• S. Felek, Y. Yuluğkural, and Z. Aladağ, ‘Comparing AHP and ANP Results to Estimate Market Share in Mobile Communication Sector’, Endüstri Mühendisliği Derg., vol. 18, no. 1, pp. 6–22, 2007.
• A. Hambali, S. M. Sapuan, I. Napsiah, and Y. Nukman, ‘Use of analytical hierarchy process (AHP) for selecting the best design concept’, J. Teknol., vol. 49, no. A, pp. 1–18, 2008.
• S. Hsiao, ‘Concurrent design method for developing a new product’, Int. J. Ind. Ergon., vol. 29, no. 1, pp. 41–55, 2002.
• F. Dweiri and F. M. Al-Oqla, ‘Material selection using analytical hierarchy process’, Int. J. Comput. Appl. Technol., vol. 26, no. 4, pp. 182–189, 2006.
• R. D. Henderson and S. P. Dutta, ‘Use of the analytic hierarchy process in ergonomic analysis’, Int. J. Ind. Ergon., vol. 9, no. 4, pp. 275–282, 1992.
• M. C. Y. Tam and V. M. R. Tummala, ‘An application of the AHP in vendor selection of a telecommunications system’, Int. J. Manag. Sci., vol. 29, no. 2003, pp. 171–182, 2001.
• S. Dönmez, ‘Computer Aided Industrial Design Software Selection in Industrial Product Design Education at Turkey Using Expert Choice Program’, Procedia - Soc. Behav. Sci., vol. 106, pp. 682–689, 2013.
• Z. Ayag, ‘Cad software evaluation for product design to exchange data in a supply chain network’, Int. J. Supply Chain Manag., vol. 4, no. 1, pp. 30–38, 2015.
• Z. Ayag, ‘An analytic-hierarchy-process based simulation model for implementation and analysis of computer-aided systems’, Int. J. Prod. Res., vol. 40, no. 13, pp. 3053–3073, 2002.