Revitalising energy capital project development and execution strategies: Lessons from the energy sector

Ochieng, Edward Godfrey; Price, Andrew David Freeman; Zuofa, Tarila; Egbu, Charles; Ruan, Ximing

Abstract

© 2015 Taylor & Francis. This study sought to examine project delivery challenges currently being faced by energy clients and to determine how they could achieve value creation through better alignment of project delivery processes. There are important lessons to be learned from the energy sector on how to deal with the unique operational and project challenges. Four exploratory focus groups were held with twenty senior project management practitioners, to better understand the greatest needs and project management processes in the energy sector. A formal deductive approach was used to examine and evaluate existing and future energy project delivery processes. From the qualitative data, participants recognised the need to introduce science-based project techniques such as system dynamics and project predictive analytics in project management processes. Participants further noted that comprehensive innovative project delivery processes and analytical approaches are required to cope with the increasing scale and complexity of energy capital projects.

• Journal Article Type: Article
• Acceptance Date: Sep 10, 2015
• Online Publication Date: Nov 2, 2015
• Publication Date: Mar 11, 2016
• Deposit Date: Sep 11, 2015
• Publicly Available Date: Nov 2, 2016
• Journal: Production Planning and Control
• Print ISSN: 0953-7287
• Electronic ISSN: 1366-5871
• Publisher: Taylor & Francis
• Peer Reviewed: Peer Reviewed
• Volume: 27
• Issue: 4
• Pages: 237-248
• DOI: https://doi.org/10.1080/09537287.2015.1094583
• Keywords: process modelling, energy project delivery, capacity planning, predictive project analytics, system dynamics
• Public URL: https://uwe-repository.worktribe.com/output/906477
• Publisher URL: http://dx.doi.org/10.1080/09537287.2015.1094583
• Additional Information: Additional Information : This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control on 02 November 2015, available online: http://wwww.tandfonline.com/10.1080/09537287.2015.1094583
• Contract Date: Mar 22, 2016