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

Publication Title

Sains Malaysiana

Divisions

MathematicalSciences

Funders

University of Malaya (BK023-2014)

Volume

50

Issue

12

Publisher

Penerbit Universiti Kebangsaan Malaysia

Publisher Location

FACULTY SCIENCE & TECHNOLOGY, BANGI, SELANGOR, 43600, MALAYSIA

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