Abstract
The analysis of the overall risk level of the system and the reduction of risk control costs are the key links to avoid the safety risks of prefabricated construction. In this paper, a dual-objective optimization model is constructed with the objective of minimizing system security risk loss and control cost to minimize the level of construction safety risks for prefabricated building while minimizing cost consumption. This paper introduces risk correlation into the optimization model based on the 2-additive fuzzy measure and solves it with discrete multiobjective particle swarm optimization (discrete-MOPSO). The example shows that considering the correlation of risks in different situations can better reflect the interaction relationship between the risk factors of building construction safety and improve the rationality of the optimization model.
Highlights
The effective risk control method is requisite for successful risk management in industrial construction projects, the risk managing and controlling skills of managers at various levels may not conform to the requirements of new construction management systems [1]
Since the relationships between certain risk factors may lead to risk events, the relational influences between correlated risks can be considered in the optimization model analysis to better rationalize the risk optimization control [2]
Safety risk control for prefabricated building construction is an important aspect of building risk management
Summary
The effective risk control method is requisite for successful risk management in industrial construction projects, the risk managing and controlling skills of managers at various levels may not conform to the requirements of new construction management systems [1]. The above findings have enriched the theoretical methods concerning risk relevance and risk cost optimization in prefabricated buildings, none of the previous studies has taken into account the potential impacts of the correlation between various risk factors on the risk control costs and expected losses. This paper builds a safety risk optimization model for prefabricated building construction from a risk correlation perspective and solves the model using the MOPSO algorithm. To minimize the construction safety risk level of prefabricated building projects while lowering the cost consumption as far as possible, this paper builds a biobjective optimization model to balance the system risk level and reduce the cost of risks by taking the minimization of system safety risk loss and risk control cost as the objective functions. Constraints set in the model satisfy the following requirements: the safety risk level of prefabricated construction shall not exceed the maximum permissible value of the entire system, and the risk control cost shall not exceed the cost ceiling set for risk control optimization
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