Dynamic Task Scheduling and Conflict Analysis for Multi-Resource Limited Project Controlling

Critical path analysis can be a good tool when scheduling the tasks with pre-determined. Typically there are multiple kinds of resource and each has different cost and limitation in the progress of the projects. Current existent formal methods seemed to be weak in scheduling the tasks in such large projects. Genetic algorithm has been proposed to optimize the scheduling with resource constrains. They can report an optimized result, but they lack the analysis of the scheduling conflict and there is no thread for further improvement. In this paper, the authors bring forth a new concept "labor opportunity contribution", and present yet another formal solution based on such concept. This method can handle the dynamic task scheduling and the scheduling conflict analysis, which enables the further improvement.