FEATURED PAPER
By Mathis Catelain
SKEMA Business School
Lille, France
INTRODUCTION
The construction market is a collateral market, in fact, it will represent about “$10.3 trillion per year in 2020”[1] and this number will continue to increase over the years. This industry is currently undergoing a revolution. Indeed, with the arrival of artificial intelligence, the means put in place to manage these new constructions are changing, rapidly and constantly improving. One of the biggest problems is workplace accidents on construction sites that have increased considerably in recent years. “In the U.S., the number of deaths on site has risen 34 per cent since 2010. In Japan, around 300 deaths and more than 15,000 injuries were recorded in 2016.”[2]
The construction field involves huge constructions, representing very high costs, also involving many people interacting with each other and then representing many different personal interests. To carry out these various construction projects, companies operating in this field must use many machines, generally requiring qualified operators to operate them. However, new constructions need to be more and more precise and complex with fewer and fewer qualified operators. This issue must also take into account a safety issue for workers working on these sites. Fortunately, these issues can be resolved or at least reduced thanks to technological advances in this field, without which many disputes regularly arise and can have very significant consequences in the performance of the contract.
Construction machinery[3] is machinery used to assist or replace human beings on construction tasks? There is a multitude of machines that are used on construction sites like heavy equipment vehicles, we can name cranes, bulldozers, concrete mixers, excavators or dump trucks. Today other equipment is used such as drones or algorithms that analyze a huge amount of photographs in order to detect potential flaws and dangers. Intelligent construction machines are therefore machines that make it possible to assist people, but in a more detailed way, in fact, these machines analyze in real time the tasks performed and help workers to work more precisely, more quickly and all this while taking into account the safety around the machine. Sensors are placed all around the machines to avoid an impact between two machines or between a machine and a worker. These machines use artificial intelligence and GPS technology to work efficiently.
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Editor’s note: This paper was prepared for the course “International Contract Management” facilitated by Dr Paul D. Giammalvo of PT Mitratata Citragraha, Jakarta, Indonesia as an Adjunct Professor under contract to SKEMA Business School for the program Master of Science in Project and Programme Management and Business Development. http://www.skema.edu/programmes/masters-of-science. For more information on this global program (Lille and Paris in France; Belo Horizonte in Brazil), contact Dr Paul Gardiner, Global Programme Director paul.gardiner@skema.edu.
How to cite this paper: Catelain, M. (2019). How does artificial intelligence help to avoid disputes in construction? PM World Journal, Vol. VIII, Issue VI, July. Available online at https://pmworldlibrary.net/wp-content/uploads/2019/07/pmwj83-Jul2019-Catelain-how-does-artificial-intelligence-help-avoid-disputes-in-construction.pdf
About the Author
Mathis Catelain
Lille, France
Mathis Catelain is a PGE student at SKEMA Business School currently in Msc project and Program Management and Business Development in Lille, France. He has an international background thanks to a 6-month experience in Brazil (Belo Horizonte) at Fundaçao Dom Cabral and in January 2020, he will go to China (Suzhou) for a 6-month exchange in order to complete his studies.
After graduating from the University of Le Havre, he decided to join a business school in order to perfect his business and project management skills. He will be working for the car manufacturer Renault Alpine in the quality department from January 2019. He is also PRINCE2 certified and is preparing for AGILE PM certification.
Mathis Catelain can be contacted at mathis.catelain@skema.edu or mathiscatelain@hotmail.fr or you can also send him a message via LinkedIn: https://www.linkedin.com/in/mathis-catelain/
[1] Market Reports Store. (2015, February 17). Global Construction Market Worth $10.3 Trillion in 2020 (50 Largest, Most Influential Markets). Retrieved from https://www.prnewswire.com/news-releases/global-construction-market-worth-103-trillion-in-2020-50-largest-most-influential-markets-292235961.html
[2] Artificial Intelligence in Construction Equipment. (n.d.). Retrieved from https://constructionexec.com/article/artificial-intelligence-in-construction-equipment
[3] Heavy equipment. (2018, August 1). Retrieved from https://en.wikipedia.org/wiki/Heavy_equipment
