Robust parameter design and optimization for quality engineering

Name: Robust parameter design and optimization for quality engineering
Author: Yanıkoğlu, İhsan, Albey, Erinç, Okçuoğlu, S.

İsim	Robust parameter design and optimization for quality engineering
Yazar	Yanıkoğlu, İhsan, Albey, Erinç, Okçuoğlu, S.
Basım Tarihi:	2022-03
Basım Yeri	- Springer
Konu	Injection molding, Robust optimization, Robust parameter design
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2662-2556
Kayıt Numarası	9d406ebe-5891-43fb-82ee-e408e0f1535c
Lokasyon	Industrial Engineering
Tarih	2022-03
Notlar	Home Appliances Department of the Vestel Electronics Company
Örnek Metin	This paper proposes a methodology to determine the optimal settings of key decision variables that affect the resilience of an engineering design against uncertainty. Uncertainty in quality engineering is often caused by environmental factors, and scarcity of data due to limitations in the experimentation phase amplifies the level of ambiguity. The proposed robust parameter design and optimization approach utilizes the Taguchi method to find critical variables to be used in the optimization, and it utilizes robust optimization to immunize the obtained solution against uncertainty. To demonstrate our approach, we focus on design optimization of an injection molding product, a refrigerator door cap, made from thermoplastic raw material and its key quality characteristic, warpage. The near-optimal designs found by the robust parameter design and optimization approach are implemented in a real-life manufacturing environment. The numerical experiments show that the new designs significantly improve the warpage quality characteristic and the total production cycle time compared to the current design used in the manufacturing company.
DOI	10.1007/s43069-022-00121-3
Cilt	3

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Robust parameter design and optimization for quality engineering

Yazar Yanıkoğlu, İhsan, Albey, Erinç, Okçuoğlu, S.

Basım Tarihi 2022-03

Basım Yeri - Springer

Konu Injection molding, Robust optimization, Robust parameter design

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2662-2556

Kayıt Numarası 9d406ebe-5891-43fb-82ee-e408e0f1535c

Lokasyon Industrial Engineering

Tarih 2022-03

Notlar Home Appliances Department of the Vestel Electronics Company

Örnek Metin This paper proposes a methodology to determine the optimal settings of key decision variables that affect the resilience of an engineering design against uncertainty. Uncertainty in quality engineering is often caused by environmental factors, and scarcity of data due to limitations in the experimentation phase amplifies the level of ambiguity. The proposed robust parameter design and optimization approach utilizes the Taguchi method to find critical variables to be used in the optimization, and it utilizes robust optimization to immunize the obtained solution against uncertainty. To demonstrate our approach, we focus on design optimization of an injection molding product, a refrigerator door cap, made from thermoplastic raw material and its key quality characteristic, warpage. The near-optimal designs found by the robust parameter design and optimization approach are implemented in a real-life manufacturing environment. The numerical experiments show that the new designs significantly improve the warpage quality characteristic and the total production cycle time compared to the current design used in the manufacturing company.

DOI 10.1007/s43069-022-00121-3

Cilt 3