SavedAdd your journal

Journals / İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi / 2020 / Cilt: 19 Sayı: 37

EVALUATING COMPETITIVENESS IN PRODUCT DESIGN BY USING ANALYTIC HIERARCHY PROCESS

ÜRÜN TASARIMINDA REKABETÇİLİĞİN ANALİTİK HİYERARŞİ SÜRECİ YÖNTEMİYLE DEĞERLENDİRİLMESİ

Hüseyin Özkal ÖZSOY
Pages
655–677
Publication Date
2020-06-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

At the final sections the findings were interpreted and conclusions about the use of the method were presented.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the use of the Analytic Hierarchy Process (AHP) method in the evaluation of the competitive properties of industrial product designs is investigated.
📊
Key Findings & Data:After giving information about the usage of the method and the related literature, a field study is presented in which 5 vacuum cleaner designs were evaluated to find the one that would be the most competitive in markets.
💡
Conclusion & Impact:At the final sections the findings were interpreted and conclusions about the use of the method were presented.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Ev Araçları Tasarımı · Analitik Hiyerarşi Süreci · Rekabetçilik

Abstract

In this study, the use of the Analytic Hierarchy Process (AHP) method in the evaluation of the competitive properties of industrial product designs is investigated. After giving information about the usage of the method and the related literature, a field study is presented in which 5 vacuum cleaner designs were evaluated to find the one that would be the most competitive in markets. During this study, initially the main objective and the appropriate evaluation criteria were determined followed by the determination and comparison of the importance values of the criteria and design alternatives. Afterwards, design alternatives were evaluated by using AHP method-specific tools and the performance values of the 5 design alternatives were found. These values were listed in a descending order, determining the competitiveness of each design alternative according to each other. At the final sections the findings were interpreted and conclusions about the use of the method were presented.

Özet

Bu çalışmada endüstri ürün tasarımlarının rekabetçi özelliklerinin değerlendirilmesinde Analitik Hiyerarşi Süreci (AHP) yöntemi kullanımı incelenmiştir. Yöntemin kullanımı ve ilgili literatür hakkında bilgi verildikten sonra 5 elektrik süpürgesi tasarımın değerlendirilip piyasada en rekabetçi olacak tasarımın belirlendiği bir alan çalışması sunulmuştur. Alan çalışmasında öncelikle ana hedef ve buna uygun değerlendirme ölçütleri belirlenmiş, ölçüt ve tasarım alternatiflerinin birbirlerine göre önem dereceleri incelenmiştir. Sonrasında tasarım alternatifleri yöntemce sağlanan araçlar yardımıyla değerlendirilmiş ve eldeki 5 tasarımın başarım değerleri ortaya çıkartılmıştır. Elde edilen sonuçlar, büyükten küçüğe sıralanmış ve en yüksek başarım değerine sahip tasarım, en rekabetçi ürün olarak belirlenmiştir. Sonuç bölümünde bu bulgular yorumlanmış, yöntemin sağladığı faydalar açıklanmıştır.

🔖

Cite This Article

ÖZSOY, H. Ö. (2020). EVALUATING COMPETITIVENESS IN PRODUCT DESIGN BY USING ANALYTIC HIERARCHY PROCESS. İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi, Cilt: 19 Sayı: 37, 655–677. https://ajindex.com/articles/907230

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (12)

  1. Ahmad, M. N., Maidin, N. A., Rahman, M. H. A., & Osman, M. H. (2017). Conceptual Design Selection of Manual Wheelchair for Elderly by Analytical Hierarchy Process ( AHP ) Method: A Case Study, 12(17), 6710–6719.
  2. An, S. H., Kim, G. H., & Kang, K. I. (2007). A case-based reasoning cost estimating model using experience by analytic hierarchy process. Building and Environment, 42(7), 2573–2579. https://doi.org/10.1016/j.buildenv.2006.06.007
  3. Ayağ, Z. (2005). An integrated approach to evaluating concept design alternatives in a new product development environment. International Journal of Production Research, 43(4), 687–713. https://doi.org/10.1080/00207540512331311831
  4. Ayağ, Z. (2015). Cad software evaluation for product design to exchange data in a supply chain network. International Journal of Supply Chain Management, 4(1), 30–38. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-84949765522&partnerID=tZOtx3y1
  5. Basak, I. (2002). On the use of information criteria in analytic hierarchy process. European Journal of Operational Research, 141(1), 200–216. https://doi.org/10.1016/S0377-2217(01)00238-7
  6. Battistoni, E., Fronzetti Colladon, A., Scarabotti, L., & Schiraldi, M. M. (2013). Analytic hierarchy process for new product development. International Journal of Engineering Business Management, 5(1), 1–8. https://doi.org/10.5772/56816
  7. Bayrakçı, O. (Ed.). (2012). Corporate identity and design trend researches on small electrical home appliances (1st ed.). İstanbul:
  8. MSGSÜ Publications. Berger, S., Dertouzos, M. L., Lester, R. K., Solow, R. M., & Thurow, L. C. (1989). Toward a new industrial American. Scientific Am, 260(June), 21–29. Retrieved from http://www.dtic.mil/dtic/tr/fulltext/u2/a224888.pdf#page=13
  9. Braunschweig, T., & Becker, B. (2004). Choosing research priorities by using the analytic hierarchy process: an application to international agriculture. R&D Management, 34(1), 77–86. https://doi.org/https://doi.org/10.1111/j.1467-9310.2004.00324.x
  10. Cao, D., Leung, L. C., & Law, J. S. (2008). Modifying inconsistent comparison matrix in analytic hierarchy process: A heuristic approach. Decision Support Systems, 44(4), 944–953. https://doi.org/10.1016/j.dss.2007.11.002
  11. Chandran, B., Golden, B., & Wasil, E. (2005). Linear programming models for estimating weights in the analytic hierarchy process. Computers and Operations Research, 32(9), 2235–2254. https://doi.org/10.1016/j.cor.2004.02.010
  12. Cheng, S. C., Chou, T. C., Yang, C. L., & Chang, H. Y. (2005).