Allocation of construction risks between clients and their contractors has a significant impact on the total construction costs. This paper presents a system dynamics (SD)-based approach for quantitative risk allocation. Using the proposed SD based approach, all the factors affecting the risk allocation process are modeled. The contractor’s defensive strategies against the one-sided risk allocation are simulated using governing feedback loops. The full-impact of different risk allocation strategies may efficiently be modeled, simulated and quantified in terms of time and cost by the proposed object-oriented simulation methodology. The project cost is simulated at different percentages of risk allocation and the optimum percentage of risk al...
Risks and uncertainties are inherent in construction projects and if neglected these risks often lea...
Managing risk in construction projects has proven to be a challenge for many project managers and st...
In the management of large-scale projects, Project Risk Analysis and Management is of great importan...
The complex structure of construction project risks arises from their internal and external interact...
The majority of risk events in Public Private Partnership (PPP) projects are due to the complexity o...
Construction projects suffer from diverse uncertainties that hinder the key objectives’ achievement....
In risk allocation process, it is not correct to pass the whole responsibility of some risks to the ...
The cost contingency estimation is an essential phase in the risk management, especially when the re...
International audienceThis paper presents a decision support system (DSS) for the modeling and manag...
This paper considers how project risk should be allocated between clients and contractors, where sig...
AbstractA construction project is prone to occupational accidents due to its dangerous characteristi...
154 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.With the increasing size and ...
A Monte Carlo based computer simulation model, called DYNASTRAT, was developed to model the dynamics...
Many cost overruns in the world of construction are attributable to either unforeseen events or fore...
Conventionally, risk assessment methods suffer from ignoring the dynamic nature of risks. Therefore,...
Risks and uncertainties are inherent in construction projects and if neglected these risks often lea...
Managing risk in construction projects has proven to be a challenge for many project managers and st...
In the management of large-scale projects, Project Risk Analysis and Management is of great importan...
The complex structure of construction project risks arises from their internal and external interact...
The majority of risk events in Public Private Partnership (PPP) projects are due to the complexity o...
Construction projects suffer from diverse uncertainties that hinder the key objectives’ achievement....
In risk allocation process, it is not correct to pass the whole responsibility of some risks to the ...
The cost contingency estimation is an essential phase in the risk management, especially when the re...
International audienceThis paper presents a decision support system (DSS) for the modeling and manag...
This paper considers how project risk should be allocated between clients and contractors, where sig...
AbstractA construction project is prone to occupational accidents due to its dangerous characteristi...
154 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.With the increasing size and ...
A Monte Carlo based computer simulation model, called DYNASTRAT, was developed to model the dynamics...
Many cost overruns in the world of construction are attributable to either unforeseen events or fore...
Conventionally, risk assessment methods suffer from ignoring the dynamic nature of risks. Therefore,...
Risks and uncertainties are inherent in construction projects and if neglected these risks often lea...
Managing risk in construction projects has proven to be a challenge for many project managers and st...
In the management of large-scale projects, Project Risk Analysis and Management is of great importan...