Stocktake Sale on now: wide range of books at up to 70% off!
Register      Login
Australian Energy Producers Journal Australian Energy Producers Journal Society
Journal of Australian Energy Producers
RESEARCH ARTICLE (Non peer reviewed)

Industry 4.0 and the digital transformation journey

David Makin A and Evan Boyle A B
+ Author Affiliations
- Author Affiliations

A Worley, Level 12, 333 Collins Street, Melbourne, Vic. 3000, Australia.

B Corresponding author. Email: evan.boyle@worley.com

The APPEA Journal 59(2) 643-646 https://doi.org/10.1071/AJ18261
Accepted: 12 April 2019   Published: 17 June 2019

Abstract

Industry 4.0 is upon us and our leaders are reimagining what our industrial world should look like. We are embracing more and more automation, big data analytics, machine learning and artificial intelligence in the quest for productivity and safety. The industry talks of social responsibility and sustainability, and these drivers are changing the world in which we work and the ways we interact. Although physical changes (new equipment, systems and tools) are relatively easy to fathom, the social impact is not. Traditional business services, execution and operational models are changing or even disappearing, and methods of interaction are equally diverse. This paper explores the roles we play, will play and must play as we look to the future. Business execution, business operation and the support it requires are transitioning. We operate facilities remotely, see failures before they happen and interact with the virtual world to better understand the real one. These present new and exciting opportunities with different skills and approaches to traditional industry. How we effect this transformation in the social world is just as important to the success of Industry 4.0 as the technology revolution. The complex mix of physical, digital and social interplay in delivering the safety and productivity vision of the shiny future is reviewed from the personal standpoint. Because, although the rise of Industry 4.0 is upon us, it is the people who will make it successful.

Keywords: artificial intelligence, automation, employment, machine learning, occupational choice, robotics, skill demand, societal impact, technological change, wage inequality, workforce dislocation.

David Makin currently serves as the Vice President of Integrated Digital Operations for Worley. He is an accomplished technology executive and transformational leader with more than 25 years international experience working with some of the world’s most successful project delivery and technical services organisations. David maintains industry leading expertise in project delivery and information management technologies used to execute the world’s largest and most complex capital projects. The energy and resources sector has been a key area of focus for much of his career. David is a Certified IT Professional (CP) with the Australian Computer Society (ACS) and holds a Master of Information Systems (MIS) in e-Business and Supply Chain management from Deakin University (Victoria, Australia).

Evan Boyle is the Senior Director Technology Solutions in Australia for Worley. He has more than 30 years experience working in the energy and resource sector in diverse roles in the engineering and project delivery space. Many of Evan’s projects and roles focused on innovation and the use of technology to deliver industry firsts. Evan is a fellow of Engineers Australia, a member of the Institute of Marine Engineers and is chartered in Europe and Australia. Evan has a BSc, Civil Engineering from Heriot-Watt University (Edinburgh) and an MSc Offshore Structures from City University, London.


References

Acemoglu, D., and Restrepo, P. (2017). ‘Robots and Jobs: Evidence from US Labor Markets.’ NBER Working Paper Series. Available at https://www.nber.org/papers/w23285.pdf [verified 1 May].

Dao, J. (22 February 2013). Drone pilots are found to get stress disorders much as those in combat do. New York Times. Available at https://www.nytimes.com/2013/02/23/us/drone-pilots-found-to-get-stress-disorders-much-as-those-in-combat-do.html [verified 1 May 2019].

Gartner (2011). Gartner Customer 360 Summit 2011, CRM strategies and technologies to understand, grow and manage customer experiences, March 2011. Available at https://www.gartner.com/imagesrv/summits/docs/na/customer-360/C360_2011_brochure_FINAL.pdf [verified 1 May 2019].

Goetting, B. (2017). JPMorgan chase uses COIN machine learning program to eliminate 360K lawyer hours a year. Available at https://hothardware.com/news/jpmorgan-used-coin-machine-learning-program-to-eliminate-360000-lawyer-hours-a-year [verified 1 May 2019].

Gulshan, V., Peng, L., Coram, M., Stumpe, M. C., Wu, D., Narayanaswamy, A., Venugopalan, S., Widner, K., Madams, T., Cuadros, J., Kim, R., Raman, R., Nelson, P. C., Mega, J. L., and Webster, D. R. (2016). Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs. JAMA 316, 2402–2410.
Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs.Crossref | GoogleScholarGoogle Scholar |

Lee, K. (2018). ‘AI Super-Powers China, Silicon Valley and the New World Order.’ (Houghton Mifflin Harcourt: Boston.)

Leviathan, Y. (2018). Google Duplex: an AI system for accomplishing real-world tasks over the phone. Google AI Blog. Available at https://ai.googleblog.com/2018/05/duplex-ai-system-for-natural-conversation.html [verified 1 May 2019].

McKinsey & Company (2017). Making it in America: revitalizing US manufacturing. Available at https://www.mckinsey.com/~/media/McKinsey/Featured%20Insights/Americas/Making%20it%20in%20America%20Revitalizing%20US%20manufacturing/Making-it-in-America-Revitalizing-US-manufacturing-Full-report.ashx [verified 1 May 2019].

Mining Magazine (2018). Miners still finding path to Industry 4.0: Deloitte. A review of the Deloitte report ‘The Industry 4.0 paradox: Overcoming disconnects on the path to digital transformation’. Available at https://www.miningmagazine.com/investment/news/1348438/miners-still-finding-path-to-industry-40-deloitte [verified 1 May 2019].

Parker, S., Fruhen, L., Burton, C., McQuade, S., Loveny, J., Griffin, M., Page, A., Chikritzhs, T., Crock, S., Jorritsma, K., and Esmond, J. (2018). Impact of FIFO work arrangements on the mental health and wellbeing of FIFO workers. Available at https://www.mhc.wa.gov.au/media/2547/impact-of-fifo-work-arrangement-on-the-mental-health-and-wellbeing-of-fifo-workers-full-report.pdf [verified 1 May 2019].

Wakabayashi, D. (2017). Waymo’s autonomous cars cut out human drivers in road test. The New York Times. Available at https://www.nytimes.com/2017/11/07/technology/waymo-autonomous-cars.html [verified 20 May 2019].