Optimization of correlated multi-response quality engineering by the upside-down normal loss function. Issue 8 (2nd August 2016)

• Record Type: Journal Article
• Authors: Zeybek, Melis; Köksoy, Onur
• Is Part Of: Engineering optimization. Volume 48:Issue 8(2016)
• Page Start: 1419
• Page End: 1431
• Publication Date: 2016-08-02
• Subjects: multi-response process optimization -- quality improvement -- upside-down normal loss function -- robust parameter design -- response surface methodology; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2015.1115027
• Languages: English
• ISSNs: 0305-215X

Abstract

Abstract : Most of the published literature on robust design is basically concerned with a single response. However, the reality is that common industrial problems usually involve several quality characteristics, which are often correlated. Traditional approaches to multidimensional quality do not offer much information on how much better or worse a process is when finding optimal settings. Köksoy and Fan [ Engineering Optimization 44 (8): 935–945] pointed out that the upside-down normal loss function provides a more reasonable risk assessment to the losses of being off-target in product engineering research. However, they only consider the single-response case. This article generalizes their idea to more than one response under possible correlations and co-movement effects of responses on the process loss. The response surface methodology has been adapted, estimating the expected multivariate upside-down normal loss function of a multidimensional system to find the optimal control factor settings of a given problem. The procedure and its merits are illustrated through an example.