Advances in solution methods for optimisation of multiple quality characteristics in manufacturing processes

Sasadhar Bera and Indrajit Mukherjee

International Journal of Productivity and Quality Management, 2018, vol. 24, issue 4, 475-494

Abstract: A typical problem generally encountered in the quality control and improvement operations of manufacturing processes involves simultaneously optimising multiple critical quality characteristics (or 'multiple responses'). These type of problems are so-called 'multiple response optimisation (MRO) problems'. Owing to correlation between multiple responses, trade-off solution(s) are inevitable. The term 'trade-off' is an explicit compromised solution, considering the bias from the targets and variability in the responses. The global best solution for such a problem is usually unknown. Over the years, various solution methods and their theoretical advancement are proposed. However, only a handful of critical reviews are evident in open literature. Available review articles on MRO seem insufficient and address only specific aspects of the solution methods (e.g., response-surface modelling, problem formulation, or optimisation techniques). In this study, five different types of solution methods suggested for MRO problems are categorised and critically reviewed, including response-surface-based contour plot, response surface-free data mining methods, etc. The theoretical relationship between the MRO and the multi-objective-optimisation solution methods is analysed along with identifying potential research direction in this domain.

Keywords: multiple-response optimisation; MRO; response surface; quality control and improvement; manufacturing-process optimisation; multi-objective optimisation; MOO. (search for similar items in EconPapers)
Date: 2018
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