RISK MANAGEMENT AND ALLOCATION IN CONSTRUCTION PROJECTS APPLYING GAME THEORY

Davood Goudarzi Department of Civil Engineering, Arak Branch, Islamic Azad University, Arak, Iran Email: amirpasha348@gmail.com
Fereydoun Shirvani Assistant Professor, Mechanics, Faculty of Engineering, Shoushtar Branch, Islamic Azad University, Shoushtar, Iran Email: fred.shirvani@gmail.com
Nasser Elahi Assistant Professor, Mechanics, Faculty of Engineering, Chamran University of Ahvaz, Ahvaz, Iran Email: elahinasser@yahoo.com

Abstract

The most principal source of the emergence of claims and conflicts in the contracts of design and construction is the lack of reconnaissance and management of risks in projects. As a result, it is expected that, with the management of the recognized risks via the contractual capacities, one can prevent the emergence and instatement of such claims and conflicts in this industry to a considerable extent. In the process of risk allocation, assigning full liability of certain risks to the contractor is not correct, since it results in making certain defensive policies on part of the contractor including the quality drop and approaching towards claims and suits which, ultimately, ends in the rise of costs and time of the project. As a result, with regard to this type of risks, it is required that the liabilities caused by the risk is shared among various factors involved in the contract and thus, in other words, the quantitative allocation of risk is carried out. In the process of negotiation for determining the percentage of the risk allocated to each of the contractual parties, despite the existence of the conflict of interests to be found among these factors or agents, there is a high tendency towards collaboration and arriving at a sort of agreement. In the present research, for the quantitative allocation of risk, game theory is applied which is a branch of science for studying mathematical models of conflict and collaboration between and among rational decision-makers. The suggested model presents a highly useful tool which can sufficiently address the criteria of preference such as utility and fairness and thus specify the percentage of a fair risk allocation.

Keywords:

Risk Management, Risk Management Allocation, Construction Projects, Game Theory


Full Text:

PDF


References


Ales, G. (2019). Current issues and challenges of supply chain management. International conference on Automation & information. World Scientific and Engineering Academy and Society , 29(13), 147-163. -Cheng, S. Li, L. Chen, X. Fang, C. Wang, X.Y. Wu, X. Li, W. (2020). Longitudinal autonomous driving based on game theory for intelligent hybrid electric vehicles with connectivity. Applied Energy, 268(15), 115-137. -Deng, X. Jiang, W. Wang, Z.(2020). An Information Source Selection Model Based on Evolutionary Game Theory. Applied Mathematics and Computation, 385(15), 125-139. - Jean-Claude, . Arda,y,.(2018). Supply chain coordination; A Game Theory approach. accepted for publication in the journal "Engineering Applications of Artificial Intelligence.41(23),99-76. -Khalili, M. Namdari, F. Rokrok, E.(2020). Traveling wave-based protection for SVC connected transmission lines using game theory. International Journal of Electrical Power & Energy Systems, 123(20), 63-82. -Lin, D.Y. Juan, C. WoNg, M. (2021). Evaluation of green strategies in maritime liner shipping using evolutionary game theory. Journal of Cleaner Production, 279(10), 123-149. -Saraeian, S. & Shirazi, B.(2020). Process mining-based anomaly detection of additive manufacturing process activities using a game theory modeling approach. Computers & Industrial Engineering, 146(21), 168-183. -Xu, F. Yang, W. Li, H. Meng, X. (2020). Computation offloading algorithm for cloud robot based on improved game theory. Engineering, 87(10), 106-118. -Xing. J. Meng, H. (2020). An urban pipeline accident model based on system engineering and game theory. Journal of Loss Prevention in the Process Industries, 64(20), 104-115. -Yaya, S. Xi, C. Xiaoyang, Z. Meixia, Z.(2020). Evaluating the efficiency of China’s healthcare service: A weighted DEA-game theory in a competitive environment. Journal of Cleaner Production, 270(10), 122-173.

Refbacks

  • There are currently no refbacks.