N.Satheesh Kumar,R.Raj Kumar
Resource management ensures that a project is to be completed on time, at cost, and its quality is as previously defined; nevertheless, the scarcity of resources is a usual reason for project delays. Traditional analytical and heuristic approaches are inefficient and inflexible when solving construction resource levelling problems. The proposed algorithm can effectively provide the optimal or near-optimal combination of construction resources by the starting and finishing dates of activities subjected to the objective of resource levelling. In the proposed method the activity to be selected first for shifting is based on the largest value of resource rate. The process is repeated for all the remaining activities for possible shifting of resources by searching the fittest solution by the Genetic Algorithm. The GA procedure searches for optimum results in set of tasks and priorities that produce shorter project duration and better using MS Excel Evolver software