An interval programming model for continuous improvement in micro-manufacturing. Issue 3 (4th March 2018)

• Record Type: Journal Article
• Authors: Ouyang, Linhan; Ma, Yizhong; Wang, Jianjun; Tu, Yiliu; Byun, Jai-Hyun
• Is Part Of: Engineering optimization. Volume 50:Issue 3(2018)
• Page Start: 400
• Page End: 414
• Publication Date: 2018-03-04
• Subjects: Continuous quality improvement -- interval analysis -- economic design -- dual response surface; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2017.1317765
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: Continuous quality improvement in micro-manufacturing processes relies on optimization strategies that relate an output performance to a set of machining parameters. However, when determining the optimal machining parameters in a micro-manufacturing process, the economics of continuous quality improvement and decision makers' preference information are typically neglected. This article proposes an economic continuous improvement strategy based on an interval programming model. The proposed strategy differs from previous studies in two ways. First, an interval programming model is proposed to measure the quality level, where decision makers' preference information is considered in order to determine the weight of location and dispersion effects. Second, the proposed strategy is a more flexible approach since it considers the trade-off between the quality level and the associated costs, and leaves engineers a larger decision space through adjusting the quality level. The proposed strategy is compared with its conventional counterparts using an Nd:YLF laser beam micro-drilling process.