Abstract:

Project planning and scheduling are among the complex subjects of project management. In the current competitive environment, the achievement of critical routes/routes, critical activities and time of completion on the network prepared depending on the priority or continuity of activities is important for project planning and planning. Also in project planning and scheduling, time cost analysis provides competitive advantage to companies with the aim of reducing costs while saving time. Therefore, optimization is a matter that requires the process and can be found by creating a mathematical model. With the emergence of intuitive/meta intuitive algorithms, the solution of optimization problems has become even easier. There are many meta-intuitive approaches, such as climbing comparison, climbing the hill, the monkey colony, artificial nerve networks, genetic algorithms. In this study, a method based on a genetic algorithm has been developed with project planning and scheduling software that calculates the critical routes/routes on the network, critical activities and the time of completion of the project. Thanks to this software developed, time cost analysis can also be done for the desired completion time. The effectiveness of the software developed has been tested and compared with sample problems. The proposed genetic algorithm-based method, time of completion, critical activities and critical pathways are compared with Project Management 2013 and linear model. The results that were achieved were the same. In terms of the desired completion time, the time cost analysis has shown that the genetic algorithm-based method gives the same results to the linear model.