The Application of Industrial 4.0 Assets Maintenance Strategy to Improve Productivity Level at Energy Industry Customers

Muhammad Fikri, Widhyawan Prawiraatmadja

Abstract


The productivity level at hydrocarbon processing and energy companies can be affected by unplanned shutdown of assets which leads to significant business loss such as lost production, wasted labor, depleted inventory, and higher exposure to safety risks. As an energy company, unplanned shutdowns could cause another multiplier negative effect aside from financial and operations. It would take days or weeks for the markets to adjust to the sudden loss of the production, resulting the price impact and scarcity of hydrocarbon products in the market would impact the nation’s economy and potentially create a political disturbance.

This journal scope would discuss on the unplanned shutdown as the main business issue and how the proposed Industry 4.0 technology solutions on preventing the causes and explanations to transform the current company operations to improve the productivity. The proposed solutions can be acquired by an energy company as a reference to enhance its existing assets maintenance strategy to be a part of improvement process. There are three companies which are included as part of the journal assessment; Company A (Fluid Catalytic Cracking), Company B (Geothermal Power Utility), and Company C (Liquified Natural Gas Plant).

Full Text:

PDF

References


(1) A.T. Kearney (2011), Reaching Peak O&M Performance in Power Generation.

(2) Baker Hughes, a GE Company (2017), The Case for Condition Monitoring.

(3) Bloomquist, Rob, et al (2015), Optimizing Plant Assets, Orbit Magazine, GE Energy.

(4) Coleman, Chris, et al (2017), Making Maintenance Smarter, Deloitte University Press.

(5) F. S. Nowlan, et al. (1978), Reliability-centered Maintenance, U.S. Department of Commerce.

(6) GE Digital (2018), The Digital Twin, Compressing time-to-value for digital industrial companies.

(7) International Atomic Energy Agency (1986), Safety Aspects of Unplanned Shutdowns and Trips.

(8) Khan, Shahyan (2016), Leadership in the Digital Age, Stockholm Business School

(9) Mobley, R. Keith (2002), An Introduction to Predictive Maintenance, Elsevier Science

(10) Rogers, David L (2016), The Digital Transformation Playbook, Columbia Business

School.

(11) T. Ayral, et al. (2007), Quantifying the ROI of an Asset Performance Management Program, Hydrocarbon Processing May 2007 issue.

(12) U.S. Department of Energy (2010), Operations & Maintenance Best Practices (Release 3.0), Federal Energy Management Program.

(13) U. S. Energy Information Administration (2007), Refinery Outages: Description and Potential Impact on Petroleum Product Prices.

(14) U.S. Energy Information Administration (2018), Planned Refinery Outages in the United

States.

(15) Westerman George, et al. (2014), Leading Digital, Harvard Business Review Press.

(16) https://www.forbes.com/sites/brucerogers/2016/01/07/why-84-of-companies-fail-at-digital-transformation/#68cf3ab8397b (accessed 15 April 2019).

(17) https://www.epicor.com/en-us/resource-center/articles/what-is-industry-4-0/ (accessed 15 April 2019).




DOI: https://doi.org/10.32535/jicp.v2i2.612

Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 Muhammad Fikri, Widhyawan Prawiraatmadja

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Published by :

AIBPM Publisher

Editorial Office:

Indonesia
Association of International Business and Professional Management (AIBPM) JL. Kahuripan No. 9 Hotel Sahid Montana, Malang, Indonesia
Phone:
 +62 341 366222
Email: aibpm.publisher@gmail.com

Website: http://www.aibpmpublisher.org

Kuwait 

Kuwait University
Prof Majdi Anwar Quatinah (Advisor)
Jamal Abdul Nasser St, Kuwait

ISSN 2622-0989 (Print)
ISSN: 2621-993X  (Online)

INDEXED:

 

INDEX ON PROCESS: