Authors : Sarmad Nasser Mohammed and Ahmed Abdulrasool Alkhafaji
Abstract: The time-cost trade-off analysis is a usual problem in the project management world and it is one of the most important aspects of project planning and control. Project management focuses on completing the project in the least time and at the lowest possible cost in general. This problem represents a challenging task because the activity duration and cost have uncertainty associated with management which should be considered when performing schedule optimization. This study uses Multi-Objective Genetic Algorithm (MOGA) to trade-off between time and cost which programmed with the MATLAB 2017b based on the concept of the Pareto front and the Excel program used as an input tool for the project data. A case study was solved to show clearly how the algorithm works and how it trade-offs between time and cost. The results showed that the algorithm helps to find optimal solutions quickly and efficiently with high accuracy to clarify how it could be useful for project management by helping to take the right decision to choose the crew and the appropriate method for each activity.
Sarmad Nasser Mohammed and Ahmed Abdulrasool Alkhafaji, 2019. Trade-Off Between Cost and Time to the Project to Assist in Decision-Making Using Multi-Objective Genetic Algorithm (MOGA). Journal of Engineering and Applied Sciences, 14: 4961-4967.