Author
Yanıkoğlu, İhsan, Albey, Erinç, Okçuoğlu, S.
Publication Date
2022-03
Publication Place
-
Springer
Subject
Injection molding, Robust optimization, Robust parameter design
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
2662-2556
Record ID
9d406ebe-5891-43fb-82ee-e408e0f1535c
Library Location
Industrial Engineering
Date
2022-03
Notes
Home Appliances Department of the Vestel Electronics Company
Sample Text
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
