Process considerations for Product Lifecycle Management implementation for high-value Engineering-to-Order programmes

IF 1.8 Q3 ENGINEERING, MANUFACTURING Design Science Pub Date : 2022-10-10 DOI:10.1017/dsj.2022.21
D. A. McKendry, R. Whitfield
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Abstract

Abstract This paper presents the process considerations contained within the first ever framework for implementing Product Lifecycle Management (PLM) within high-value Engineering-to-Order (ETO) programmes. The scientific contribution of the research is the identification of the process-oriented factors that are instrumental in the successful implementation of PLM within an ETO context. The framework has been developed using a qualitative methodology based on the thematic analysis of 27 semi-structured interviews. The participants were senior personnel from 11 ETO organisations in the United Kingdom, France, Australia, the United States and Canada. The thematic analysis resulted in framework themes described in relation to the process objectives, challenges or enablers, and the contributing elements of the themes were then synthesised to illustrate their interconnectedness in supporting PLM implementation. Validation of the framework using 19 participants selected from seven ETO organisations resulted in 95% agreement with statements that assessed the quality, structure and versatility of the framework. This research contributed to the updated BAE Systems Maritime Naval Ships PLM strategy for the design, build and in-service support for the First of Class new generation Royal Navy vessel for a recent shipbuilding programme.
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高价值订单工程项目产品生命周期管理实施的过程注意事项
摘要本文介绍了有史以来第一个在高价值订单工程(ETO)计划中实施产品生命周期管理(PLM)的框架中包含的过程注意事项。该研究的科学贡献是确定了在ETO环境中成功实施PLM的过程导向因素。该框架是在对27次半结构化访谈进行专题分析的基础上采用定性方法制定的。参加者是来自英国、法国、澳大利亚、美国及加拿大11个经贸组织的高级人员。主题分析产生了与流程目标、挑战或促成因素相关的框架主题,然后综合这些主题的贡献元素,以说明它们在支持PLM实施方面的相互联系。使用从七个ETO组织中选出的19名参与者对该框架进行了验证,结果95%的人同意评估该框架质量、结构和多功能性的声明。这项研究有助于更新BAE系统海事海军舰艇PLM战略,为最近的造船计划设计、建造和在役支持一流的新一代皇家海军舰艇。
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来源期刊
Design Science
Design Science ENGINEERING, MANUFACTURING-
CiteScore
4.80
自引率
12.50%
发文量
19
审稿时长
22 weeks
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