A sequence-based approach to analysing and representing engineering project normality

Lei Shi, James Gopsill, Linda Newnes, Stephen Culley

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

Engineering projects are often highly complex, unique and safety critical, which can lead to the complex engineering processes requiring various resources and bring challenges on decision making. To ensure the success of the project products, the related project has to comply with stringent regulations and company processes before the work can commence. In addition, the increasing in-service lifespan of products has led to many projects, such as design or maintenance projects, being run concurrently in a highly time-constrained and high-pressured environment, so that the generation of detailed activity plans becomes a challenge for most engineering companies. These plans are typically achieved through the ability of the project managers to use their knowledge, experience and constant contact with the engineers to provide insights into the sequence of engineering activity. However, the viability of the current method to manually generate and evaluate the activity plan is becoming an issue, e.g. there are increasing numbers of concurrent projects with increasingly distributed resources and higher level of complexity.
As regulatory and/or company process demands, the project related data is archived within this context and thus, provides a wealth of potentially useful information that could be utilised in the management of current projects. Therefore, this research investigates the potential value provided by the automatic construction of past project activity sequences, and proposes analytical methods to represent the normality of the projects based on the extracted patterns from their sequences. The evaluation applies industrial data, and shows that the results generated by the proposed approach can accurately reflect the process similarity and normality of the projects.
Original languageEnglish
Publication statusPublished - 2014
EventICTAI 2014 : 26th IEEE International Conference on Tools with Artificial Intelligence - Limassol, Cyprus
Duration: 10 Nov 201412 Nov 2014

Conference

ConferenceICTAI 2014 : 26th IEEE International Conference on Tools with Artificial Intelligence
CountryCyprus
CityLimassol
Period10/11/1412/11/14

Fingerprint Dive into the research topics of 'A sequence-based approach to analysing and representing engineering project normality'. Together they form a unique fingerprint.

  • Cite this

    Shi, L., Gopsill, J., Newnes, L., & Culley, S. (2014). A sequence-based approach to analysing and representing engineering project normality. Paper presented at ICTAI 2014 : 26th IEEE International Conference on Tools with Artificial Intelligence, Limassol, Cyprus.