For so long, Quality, Cost, and Time become an Iron Triangle for measuring project success. Knowing the probability to meet these three targets is important, especially before running a project. Management can gain information insights about confidence level to meet the target and potential risk in the future. If the environment is uncertainty; and we define project reliability as the ability to pass all Quality Control requirements and meet the budget and duration constraint; then this research will focus on how to develop a method or framework to integratively evaluating project reliability by considering Quality-Cost-Time.
To evaluate Project Reliability, first we must develop a model to define the Quality-Cost and Time relationship. Next, the model must be translated into a project network, which can accommodate the model’s characteristics. In this case we found Generalized Activity on Node Network (GAoNN) as suitable type of Project Network. For evaluation Reliability, Monte Carlo Simulation is utilized. A statistical approach later on can be used to make estimation and hypothesis test about the means of reliability level.
An extension is created to analyze the result, and we define this as Post-Reliability Analysis. Reliability analysis is sometimes fall below or upper the management confidence level, a degree of reliability which is management confidence to run up the project. These two situations have different emphasizing in the management perspective. On below confidence level scenario, the focus is utilizing all potential opportunity to rise up the realibility level. In other hand, on upper confidence level, the focus will be how to keep the reliability remains in the upper confidence level and reducing the potential risk as low as possible. Here we use the concept of Risk Management (AS/NZS 4360:2004) as the approach.
A numerical exercise is provided to support and validating the propose method above.

For so long, Quality, Cost, and Time become an Iron Triangle for measuring project success. Knowing the probability to meet these three targets is important, especially before running a project. Management can gain information insights about confidence level to meet the target and potential risk in the future. If the environment is uncertainty; and we define project reliability as the ability to pass all Quality Control requirements and meet the budget and duration constraint; then this research will focus on how to develop a method or framework to integratively evaluating project reliability by considering Quality-Cost-Time.
To evaluate Project Reliability, first we must develop a model to define the Quality-Cost and Time relationship. Next, the model must be translated into a project network, which can accommodate the model’s characteristics. In this case we found Generalized Activity on Node Network (GAoNN) as suitable type of Project Network. For evaluation Reliability, Monte Carlo Simulation is utilized. A statistical approach later on can be used to make estimation and hypothesis test about the means of reliability level.
An extension is created to analyze the result, and we define this as Post-Reliability Analysis. Reliability analysis is sometimes fall below or upper the management confidence level, a degree of reliability which is management confidence to run up the project. These two situations have different emphasizing in the management perspective. On below confidence level scenario, the focus is utilizing all potential opportunity to rise up the realibility level. In other hand, on upper confidence level, the focus will be how to keep the reliability remains in the upper confidence level and reducing the potential risk as low as possible. Here we use the concept of Risk Management (AS/NZS 4360:2004) as the approach.
A numerical exercise is provided to support and validating the propose method above.

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