Skip navigation

Development of a knowledge sharing framework for improving the testing processes in global product development

Development of a knowledge sharing framework for improving the testing processes in global product development

Zammit, Joseph Paul, Gao, James and Evans, Richard (2016) Development of a knowledge sharing framework for improving the testing processes in global product development. International Journal of Product Lifecycle Management, 9 (1). p. 1. ISSN 1743-5110 (Print), 1743-5129 (Online) (doi:10.1504/IJPLM.2016.078853)

[img]
Preview
PDF (Author Accepted Manuscript)
16639 GAO_Devlopment_of_a_Knowledge_Sharing_Framework_2016.pdf - Accepted Version

Download (860kB) | Preview

Abstract

As identified by Griffin (1997) and Kahn (2012), manufacturing organisations typically improve their market position by accelerating their Product Development (PD) cycles. One method for achieving this is to reduce the time taken to design, test and validate new products, so that they can reach the end customer before competition. This paper adds to existing research on PD testing procedures by reporting on an exploratory investigation carried out in a UK-based manufacturing plant. Exploring the organisational and managerial factors that contribute to the time spent on testing of new products during development. The investigation consisted of three sections, viz. observations and process modelling, utilisation metrics and a questionnaire-based investigation, from which a proposed framework to improve and reduce the PD time cycle is presented. This project’s main focus is the improvement of the utilisation of product testing facilities and the links to its main internal stakeholders - PD engineers.

Item Type: Article
Uncontrolled Keywords: Product development; Product testing; Information and knowledge management; Knowledge sharing; Communication and collaboration
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Department of Applied Engineering & Management
Last Modified: 23 Nov 2017 10:19
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/16639

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics