Data-Driven modelling: Towards interpreting and understanding process evolution of In-Service engineering projects

Lei Shi, Linda Newnes, Steve Culley, James Gopsill, Chris Sinder

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Product service plays an essential role in day-to-day operations of nowadays manufacturing industries. However, the changing demands of the market/customers, the increasing complexity of product functionalities and the extended product lifecycles present challenges to related In-Service projects. In order to handle the increasing number of projects and to control the costs and resource consumptions, it is critical to improve the efficiency and automation of process management. Within this context, this paper introduces some data-driven approaches to interpret and represent changes of project process over time in an automatic manner. These approaches aim to help project actors improve their understanding of process structure and the efficiency of process management, and also enable them to investigate process changes from more dynamic perspectives. To evaluate the approaches, a dataset from an aerospace organisation is considered in this paper.

Original languageEnglish
Title of host publicationProduct Lifecycle Management in the Era of Internet of Things
Subtitle of host publication12th IFIP WG 5.1 International Conference, PLM 2015, Revised Selected Papers
PublisherSpringer New York
Pages291-300
Number of pages10
Volume467
ISBN (Print)9783319331102
DOIs
Publication statusPublished - 2016
Event12th IFIP WG 5.1 International Conference on Product Lifecycle Management in the Era of Internet of Things, PLM 2015 - Doha, Qatar
Duration: 19 Oct 201521 Oct 2015

Publication series

NameIFIP Advances in Information and Communication Technology
Volume467
ISSN (Print)18684238

Conference

Conference12th IFIP WG 5.1 International Conference on Product Lifecycle Management in the Era of Internet of Things, PLM 2015
CountryQatar
CityDoha
Period19/10/1521/10/15

Keywords

  • Engineering project process
  • In-Service
  • Process evolution
  • Process management

ASJC Scopus subject areas

  • Information Systems and Management

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  • Cite this

    Shi, L., Newnes, L., Culley, S., Gopsill, J., & Sinder, C. (2016). Data-Driven modelling: Towards interpreting and understanding process evolution of In-Service engineering projects. In Product Lifecycle Management in the Era of Internet of Things: 12th IFIP WG 5.1 International Conference, PLM 2015, Revised Selected Papers (Vol. 467, pp. 291-300). (IFIP Advances in Information and Communication Technology; Vol. 467). Springer New York. https://doi.org/10.1007/978-3-319-33111-9_27