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.
This paper considers the problem of predicting a supply chain cost for prefabricated building construction under an uncertain situation. Based on the Activity-Based Costing (ABC) method, we establish a computational model to estimate the total cost of the prefabricated supply chain. The model can assist in not only finding the critical areas for cost reduction of the whole supply chain but also analyzing other costs of prefabricated construction projects. Furthermore, we provide a numerical example of prefabricated building construction to validate the results.
Multiobjective Optimization of Safety Risk of Prefabricated Building Construction considering Risk Correlation
