In this study, the success rate of projects in Turkey is measured, and the significant factors behind the successes and the failures of those projects are ranked. To the best of our knowledge, this is the first study widely measuring the success rate of projects in Turkey. The applied methodology is adapted from the Chaos Report by Standish Group. The data for 320 projects with a total budget of approximately $640 million (around 3.6 billion Turkish lira) is collected for the analysis. The results showed that 48% of projects are completed successfully while 45% are eventually completed but either over budget, not on time, or not fully completed. The success rate of the reviewed projects is higher than the rate reported in the Chaos Report. However, the success rate of projects drops to 44% when only technology-driven projects are considered. As the project size increases, the success rate diminishes, as demonstrated in the Chaos Report. The study on the significant factors influencing the success or failure of the projects revealed that the most critical factors are the “requirement definitions”, “requirement planning” and “top management support”.
We employed discrete-event simulation with embedded multivariate statistical models for time and situation-dependent parameters to study the potential impact of regulating the release of planes from their terminal gates in peak periods to reduce congestion on ramps and taxiways at Charlotte Douglas International Airport, a major U.S. hub for of the world’s largest airline, American Airlines. Gate-holding strategies are one of several operational strategies to reduce aviation’s carbon footprint. They have been shown to reduce fuel consumption, air pollution, and greenhouse gas emissions, but past studies have concentrated on taxi times and fuel consumption of outbound aircraft without considering the potential disruptions on inbound traffic, which may be blocked from reaching their intended gates. We verified that reductions in outbound taxi times could be achieved without delaying the times when planes lifted off for departure but, depending on the gate-hold rules employed and the intensity of flight operations, more delays and gate changes occurred for arriving aircraft. Our models allow intensive examination of the tradeoffs involved in improving system performance with various strategies.
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