Optimised reduction of surgical gloves pinholes using forward search method
Document Type
Article
Publication Date
12-1-2021
Abstract
This research investigates the factors that affect the existence of pinholes in surgical gloves during the manufacturing process. Since eight factors affect the existence of pinholes in surgical gloves, a two-level fractional factorial design 2(8-4) was used to study the main effects and the first-order interactions of the multiple variables. Multiple linear regressions are used to model the data. This paper also examines the presence of influential points in the data using the influential measures in linear regression such as Cook's Distance, DFFITS, DFBETAS, Studentized Residual, Standardized Residual, Hadi's measure, and the robust forward search. The impact of influential points is further assessed through deletion of potential influential points and model selection using adjusted R2, information criterion, and stepwise selection to see whether these influential points significantly improved the existing model.
Keywords
Fractional factorial design, Influential points, Multiple linear regression, Robust forward search, Stepwise selection
Divisions
MathematicalSciences
Funders
University of Malaya (BK023-2014)
Publication Title
Sains Malaysiana
Volume
50
Issue
12
Publisher
Penerbit Universiti Kebangsaan Malaysia
Publisher Location
FACULTY SCIENCE & TECHNOLOGY, BANGI, SELANGOR, 43600, MALAYSIA