A new project management model which handles the risk factors and uncertainties encountered in the design and construction of coastal projects is developed and named as the Optimum _Risk Management (ORM) model. The ORM model, contemplates to maintain the project objectives within the predetermined time and budget constrains by optimising the construction operations with the incorporation of risk factors and uncertainties inherent in the execution of coastal projects. In Turkey, the overruns in completion times of activities are unanticipated anomalies in project management arising from special problems. The project objectives can not be maintained within the time and budget constrains due to these problems encountered during construction, the most consequential and recurrently observed one being the allocation of inadequate yearly funds to projects. The project management model developed can be used for risk identification and response intentions under these circumstances in Turkey. The reliability-based risk assessment model developed, can also be utilized for the prediction of project parameters, when coupled with a macro-scale political and economical prediction model.
The ORM model aims to perform the following items:
Coordinate the logical precedence relationships of project activities,
Determine sources of uncertainties in design parameters,
Evaluate the damage risk during the construction phase,
Import the risk factors and uncertainties into network computations,
Compute the optimum time cost trade-off strategies,
Allocate the resources in the most economical way.
In order to achieve the objectives listed, the Optimum Risk Management (ORM) model, includes two interrelated but independent sub-models, namely the Optimum Port Construction _Planning Model (OPCPM) and the Reliability-BAsed Design (REBAD) models. In the ORM model, the inherent variability which exists in the modelling of the construction activities of coastal structures due to the presence of risk factors has been quantified via the employment of the reliability-based sub-model.
