Decision-making model of Delivery ‎System of construction ‎contracts, Iran's water industry ‎projects

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Project delivery systems, as the structure of the contract and the formation ‎of relations between the project ‎participants, create a framework for the ‎formation of contracts of different types of projects by allocating risk ‎‎among the project participants. Delivery systems can greatly affect the ‎time, financial, or quality goals of the ‎organization and are generally ‎classified into 5 categories: In house, Traditional, Design Build, Construct ‎‎management, and Public-Private Partnership (PPP). Each delivery system ‎has its own advantages and limitations, ‎which makes the choice between ‎them dependent on the project conditions and client's expectations. In this ‎article, ‎a new approach based on the allocation of contractual risks is ‎presented, with the help of which the employer can ‎choose the project ‎procurement system depending on the level of risk acceptable by the ‎employer. For this purpose, ‎by studying the records of risk allocation in ‎‎26 water projects in Iran, 14 main Contractual Risks have been ‎‎introduced, which are the basis of decision making for the project delivery ‎system. Based on his organizational ‎capacity in accepting a certain level ‎of 14 risks, the decision maker can select the appropriate delivery system ‎for ‎the project. Based on this approach, a multi-objective decision-making ‎model has been developed, which, by ‎receiving the project's risk profile, ‎quantitatively suggests the optimal structure and determines its level of ‎risks ‎exposure (in the form of an increase in the project's cost price). The ‎sensitivity analysis tool of this model also ‎guides the employer which ‎contractual tools or management capacities the employer should provide ‎in case of ‎using a specific contractual model.‎
Language:
Persian
Published:
Journal of Structural and Construction Engineering, Volume:10 Issue: 12, 2024
Pages:
172 to 188
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