Araştırma Makalesi
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A PRODUCT DESIGN BY FUZZY AXIOMATIC DESIGN AND GOAL PROGRAMMING APPROACHES

Yıl 2020, , 375 - 387, 25.06.2020
https://doi.org/10.21923/jesd.561482

Öz

In this study, a product design problem of a company operating in the beverage sector was handled and solved for the first time in the literature by Fuzzy Axiomatic Design (BAT) and Goal Programming approaches. It was aimed at the product to be designed does not cause a change in the current line specifications, keep the production speed to a certain level and also address customer satisfaction at the same time. Customer satisfaction goal was expressed by fuzzy data in order to better express the natural decision-making processes of human. In the study, fuzzy data belonging to customer satisfaction were defuzzified by BAT technique and the obtained values were entered as a parameter to a mixed integer nonlinear goal programming model which considers three goals. The values of certain parameters of the final product were obtained from the solution of the model. The brimful capacity of the designed bottle was calculated according to these values. Depending on the brimful capacity, it can be understood whether the new design meets the specifications of the production line, the average value of the production speed and the satisfaction of the customer. Through the proposed solution approach, the problem was dealt with analytically. The trial and error method used by the company was abandoned to save both the labor force and the mold and preform costs.

Kaynakça

  • Beng, L. G., Omar, B., 2014. Integrating Axiomatic Design Principles into Sustainable Product Development. International Journal of Precision Engineering and Manufacturing-Green Technology, 1(2),107-117.
  • Büyüközkan, G., Berkol, Ç., 2011. Designing A Sustainable Supply Chain Using An İntegrated Analytic Network Process and Goal Programming Approach in Quality Function Deployment. Expert Systems with Applications, 38, 13731-13748.
  • Cavique, M., Gonçalves-Coelho, A. M., 2009. Axiomatic Design and HVAC Systems: An Efficient Design Decision-Making Criterion. Energy and Buildings, 41, 146-153.
  • Helander, M. G., Lin, L., 2002. Axiomatic Design in Ergonomics and An Extension of The Information Axiom. Journal of Engineering Design,13(4), 321–339.
  • Houshmand, M., Jamshidnezhad, B., 2006. An Extended Model of Design Process of Lean Production Systems by Means of Process Variables. Robotics and Computer-Integrated Manufacturing, 22, 1–16.
  • Jang, B. S. ,Yang, Y. S. ,Song, Y. S. ,Yeun,Y. S. Heedo, S., 2002. Axiomatic Design Approach for Marine Design Problems. Marine Structures, 15, 35–56.
  • Janthong, N., Brissaud, D., Butdee, S., 2010. Combining Axiomatic Design and Case-Based Reasoning in An Innovative Design Methodology of Mechatronics Products. CIRP Journal of Manufacturing Science and Technology, 2, 226-239.
  • Karsak, E. E., Sozer, S., Alptekin, S. E., 2003. Product Planning in Quality Fuction Deoployment Using A Combined Analytic Network Process and Goal Programming Approach. Computers & Industrial Engineering, 44(1), 171-190.
  • Kim, Y., 2004. A Decomposition Based Approach to Integrate Product Design and Manufacturing System Design. Proceeding of Third International Conference on Axiomatic Design, June 11 – 24, Seul.
  • Kulak, O., Kahraman, C., 2005a. Multi-Attribute Comparison of Advanced Manufacturing Systems Using Fuzzy vs. Crisp Axiomatic Design Approach, International Journal of Production Economics, 95, 415-424.
  • Kulak, O., Kahraman, C., 2005b. Fuzzy Multi-Attribute Selection Among Transportation Companies Using Axiomatic Design and Analytic Hierarchy Process. Information Science, 170, 191-210.
  • Lee, J., Shin, H., 2008. Parameter Design of Water Jet Nozzle Utilizing Independence Axiom. Journal of Process Mechanical Engineering Part E, 202, 157-168.
  • Lee, K. D., Suh, N. P., Oh, S.-H., 2001. Axiomatic Design of Machine Control Systems. Annals of the CRIP, 50(1), 109-114.
  • Lu, R.-J., Feng, Y.-X., Zheng, H., Tan, J.-R., 2016. A Product Design Based on Interaction Design and Axiomatic Design Theory. 10th International Conference on Axiomatic Design (ICAD’16), 53, 125-129.
  • Brandenburg, M., 2015. Low Carbon Supply Chain Configuration for a New Product – A Goal Programming Approach. International Journal of Production Research, 53(21), 6588-6610.
  • Suh, N. P., 1990. The Principles of Design. Oxford University Press, New York, 67-90.
  • Tyagi, S., Yang, K., Tyagi, A., Verma, A., 2012. A Fuzzy Goal Programming Approach for Optimal Product Family Design of Mobile Phones and Multiple-Platform Architecture. IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews, 42(6), 1519-1530.

BULANIK AKSİYOMATİK TASARIM VE HEDEF PROGRAMLAMA YAKLAŞIMLARIYLA BİR ÜRÜN TASARIMI

Yıl 2020, , 375 - 387, 25.06.2020
https://doi.org/10.21923/jesd.561482

Öz

Bu çalışmada, içecek sektöründe faaliyet gösteren bir firmanın ürün tasarım problemi ele alınarak, literatürde ilk kez Bulanık Aksiyomatik Tasarım (BAT) ve Hedef Programlama yaklaşımlarının birlikte kullanılmasıyla çözülmüştür. Problemde tasarlanacak olan ürünün mevcut hat spesifikasyonlarında değişikliğe neden olmaması, üretim hızını belirli bir seviyede tutması ve aynı zamanda müşteri beğenisine de hitap etmesi hedeflenmektedir. Bu hedeflerden müşteri beğenisi, insanın doğal karar verme süreçlerini daha iyi ifade edebilmesi bakımından bulanık verilerle ifade edilmiştir. Çalışmada müşteri beğenisine ait bulanık veriler BAT tekniği ile durulaştırılmıştır ve elde edilen değerler, söz konusu üç hedefi de dikkate alan bir 0-1 karma tam sayılı doğrusal olmayan hedef programlama modeline parametre olarak girilmiştir. Modelin çözümünde nihai ürünün belirli parametrelerinin değerleri elde edilmiştir. Bu değerlere göre tasarımı yapılan şişenin silme hacmi hesaplanmaktadır. Silme hacme göre de, yeni tasarımın üretim hattı spesifikasyonlarını sağlayıp sağlamadığı, üretim hızının ortalama değeri ve müşteri beğenisine hitap edip etmediği anlaşılabilmektedir. Önerilen çözüm yaklaşımı sayesinde, problem analitik olarak ele alınmış, firmanın ürün tasarımında başvurduğu deneme yanılma yöntemi terk edildiği için de hem zamandan, hem iş gücünden, hem de kalıp ve preform maliyetlerinden tasarruf sağlanmıştır.

Kaynakça

  • Beng, L. G., Omar, B., 2014. Integrating Axiomatic Design Principles into Sustainable Product Development. International Journal of Precision Engineering and Manufacturing-Green Technology, 1(2),107-117.
  • Büyüközkan, G., Berkol, Ç., 2011. Designing A Sustainable Supply Chain Using An İntegrated Analytic Network Process and Goal Programming Approach in Quality Function Deployment. Expert Systems with Applications, 38, 13731-13748.
  • Cavique, M., Gonçalves-Coelho, A. M., 2009. Axiomatic Design and HVAC Systems: An Efficient Design Decision-Making Criterion. Energy and Buildings, 41, 146-153.
  • Helander, M. G., Lin, L., 2002. Axiomatic Design in Ergonomics and An Extension of The Information Axiom. Journal of Engineering Design,13(4), 321–339.
  • Houshmand, M., Jamshidnezhad, B., 2006. An Extended Model of Design Process of Lean Production Systems by Means of Process Variables. Robotics and Computer-Integrated Manufacturing, 22, 1–16.
  • Jang, B. S. ,Yang, Y. S. ,Song, Y. S. ,Yeun,Y. S. Heedo, S., 2002. Axiomatic Design Approach for Marine Design Problems. Marine Structures, 15, 35–56.
  • Janthong, N., Brissaud, D., Butdee, S., 2010. Combining Axiomatic Design and Case-Based Reasoning in An Innovative Design Methodology of Mechatronics Products. CIRP Journal of Manufacturing Science and Technology, 2, 226-239.
  • Karsak, E. E., Sozer, S., Alptekin, S. E., 2003. Product Planning in Quality Fuction Deoployment Using A Combined Analytic Network Process and Goal Programming Approach. Computers & Industrial Engineering, 44(1), 171-190.
  • Kim, Y., 2004. A Decomposition Based Approach to Integrate Product Design and Manufacturing System Design. Proceeding of Third International Conference on Axiomatic Design, June 11 – 24, Seul.
  • Kulak, O., Kahraman, C., 2005a. Multi-Attribute Comparison of Advanced Manufacturing Systems Using Fuzzy vs. Crisp Axiomatic Design Approach, International Journal of Production Economics, 95, 415-424.
  • Kulak, O., Kahraman, C., 2005b. Fuzzy Multi-Attribute Selection Among Transportation Companies Using Axiomatic Design and Analytic Hierarchy Process. Information Science, 170, 191-210.
  • Lee, J., Shin, H., 2008. Parameter Design of Water Jet Nozzle Utilizing Independence Axiom. Journal of Process Mechanical Engineering Part E, 202, 157-168.
  • Lee, K. D., Suh, N. P., Oh, S.-H., 2001. Axiomatic Design of Machine Control Systems. Annals of the CRIP, 50(1), 109-114.
  • Lu, R.-J., Feng, Y.-X., Zheng, H., Tan, J.-R., 2016. A Product Design Based on Interaction Design and Axiomatic Design Theory. 10th International Conference on Axiomatic Design (ICAD’16), 53, 125-129.
  • Brandenburg, M., 2015. Low Carbon Supply Chain Configuration for a New Product – A Goal Programming Approach. International Journal of Production Research, 53(21), 6588-6610.
  • Suh, N. P., 1990. The Principles of Design. Oxford University Press, New York, 67-90.
  • Tyagi, S., Yang, K., Tyagi, A., Verma, A., 2012. A Fuzzy Goal Programming Approach for Optimal Product Family Design of Mobile Phones and Multiple-Platform Architecture. IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews, 42(6), 1519-1530.
Toplam 17 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Endüstri Mühendisliği
Bölüm Araştırma Makaleleri \ Research Articles
Yazarlar

Muhammed Kır Bu kişi benim 0000-0003-3143-4322

Özer Uygun 0000-0002-8437-7678

Sena Kır 0000-0002-5615-8814

Yayımlanma Tarihi 25 Haziran 2020
Gönderilme Tarihi 7 Mayıs 2019
Kabul Tarihi 8 Haziran 2020
Yayımlandığı Sayı Yıl 2020

Kaynak Göster

APA Kır, M., Uygun, Ö., & Kır, S. (2020). BULANIK AKSİYOMATİK TASARIM VE HEDEF PROGRAMLAMA YAKLAŞIMLARIYLA BİR ÜRÜN TASARIMI. Mühendislik Bilimleri Ve Tasarım Dergisi, 8(2), 375-387. https://doi.org/10.21923/jesd.561482