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An approach to determining the need for integrating quality management into industrial PLM implementation

An approach to determining the need for integrating quality management into industrial PLM implementation

Zhu, Valentine, Giddaluru, Muni, El Souri, Mohammed ORCID logoORCID: https://orcid.org/0000-0002-9651-7770 and Gao, Xiaoyu ORCID logoORCID: https://orcid.org/0000-0001-5625-3654 (2022) An approach to determining the need for integrating quality management into industrial PLM implementation. Procedia CIRP, 109. pp. 490-495. ISSN 2212-8271 (doi:10.1016/j.procir.2022.05.283)

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Abstract

In practice, companies use different tools and systems to plan and manage product and process quality. Most of these tools and systems are disconnected from product data/information management systems. The downside of disconnected tools for quality management is that the repeating issues that appear in multiple systems can obscure root cause investigations by isolating related data elements, with no means to understand relationships among them. Redundant work identifying and resolving quality issues can happen in multiple tools without an automated way to communicate knowledge learnt to other teams. This leads to inconsistent and incomplete problem resolutions that impede, not improve, product and process quality. In the recent development of new technologies, many IT tools have become available on the market and among them are the PLM systems proving very popular among companies which enable the creation and maintenance of complex industrial products. A comprehensive solution in the PLM Platform is presented in this paper that aims to link quality to product design, manufacturing planning, and business-critical processes such as change management. The approach provides cross-disciplinary teams and the extended supply chain with powerful closed-loop capabilities to identify and manage risk, improve quality, meet customer requirements, and attain environmental, safety, and information management compliance.

Item Type: Article
Uncontrolled Keywords: quality systems; product quality; product lifecycle management; product development
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Design, Manufacturing and Innovative Products Research Theme
Faculty of Engineering & Science > Medway School of Pharmacy
Faculty of Engineering & Science > School of Engineering (ENG)
Last Modified: 04 Jul 2022 11:21
URI: http://gala.gre.ac.uk/id/eprint/35722

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