الفهرس 
Bounded objective function method
PROPOSED MODEL DEVELOPMENTOnly 14 pages are availabe for public view
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Abstract
Construction project`s duration and cost are critical elements in the economy of today`s market. The relationship between the project duration and cost is called time-cost trade-off analysis or decisions. Time-cost trade-off is very important to crash the activities that lies on the critical path to achieve the project deadline duration.
Existing techniques and strategies that deals with time – cost trade-off issue, which is involved in planning the projects, have concentrated and focused on basic approaches that does not represent construction project in reality, such as generalized activity precedence relationship, external time constraints, milestones for particular activities, quality considerations, resource availability and also bonuses and penalties costs.
The aim of this thesis is to develop a mathematical solution method considering some of the additional realistic project characteristics mentioned above, which are generalized activity precedence relationship, external time constraints, milestones for particular activities and also bonuses and penalties costs.
In this research, a method will be proposed and utilized which depends on a linear relationship between cost and time for each activity and generates the optimum time–cost curve of the project and the minimum cost schedule by using goal programming to look for the minimum deviation from the target either time or cost. Evaluation results indicate that the method can be reliably applied to engineering projects.
Two projects have been studied; first one is a project of upgrading an existing road of two-lane undivided highway into a four-lane road with applying controlled traffic access. The second one is the construction of Cairo Airport Terminal Building 3, known as Seasonal Hall.
The construction management team for both projects already performed crashing analysis to reach optimum cost corresponding to the desired time. The construction team did not take into their consideration all the factors mentioned above.
The proposed model proofed that it can be very useful in construction projects to find better solutions for crashing the activities. Solution curves also have been generated to help the decision makers for taking the right decision and see how flexible they are in extending and reducing the time of the project and its corresponding cost.
All decision makers will be able to see how each solution deviates from the target of the client in both time and cost. In the proposed model any positive deviation means more time or cost than the target. Hence, the proposed model is targeting the minimum deviations, any negative deviation means less time or cost than the client even requests.
For the first project, the model solution could meet the desired project duration and budget, and even finds better solutions which found to be 3 days earlier which represents 4% of the project duration, while saving is about $700 which represents about 1.57 % of what the project team proposed for the completion cost.
For the second project, the model solution could meet the desired project duration and saves about L.E 53000 which represent about 1.32 % of what the project team proposed for the completion cost.