This disclosure relates generally to method and system for evaluating performance of workflow resource patterns. Structured way of resource utilization for performing a complex task thereby evaluating end to end performance in any industrial warehouse is crucial. The proposed disclosure processes the received task to disintegrate into a plurality of sub tasks and for each sub task a workflow resource pattern is generated. Further, dynamically each workflow resource pattern is mapped to corresponding queueing mode of queueing station in the hybrid queueing network model. The system further evaluates end to end performance for each workflow resource pattern by computing performance metrics. Based on the performance evaluation the queuing mode may be replaced with another queueing modes for the workflow resource pattern. The proposed disclosure robustly analyses end to end performance of the workflow resource pattern maximizing throughput, improvising accuracy, increasing efficiency and thereby minimizing cost.