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Data-Driven Modelling: Towards Interpreting and Understanding Process Evolution of In-Service Engineering Projects

  • Lei ShiEmail author
  • Linda Newnes
  • Steve Culley
  • James Gopsill
  • Chris Sinder
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 467)

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.

Keywords

In-Service Engineering project process Process management Process evolution 

Notes

Acknowledgments

The research reported in this paper is funded by Engineering and Physical Sciences Research Council (EP/K014196/1). The authors would like to thank the industrial collaborators and their engineers for their input and support on this project.

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Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  • Lei Shi
    • 1
    Email author
  • Linda Newnes
    • 1
  • Steve Culley
    • 1
  • James Gopsill
    • 2
  • Chris Sinder
    • 2
  1. 1.Department of ManufacturingUniversity of BathBathUK
  2. 2.Department of ManufacturingUniversity of BristolBristolUK

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