In the Dual-Resource Constrained Flexible Job Shop Problem (DRCFJSP), two different types of resources, such as workers and machines, are required to process each job's operations. The analysis and assessment of priority decision rules for scheduling production jobs in DRCFJSPs is the primary goal of this work. The evaluation criteria in this research consists of demand, due date, cycle time, number of operations, and setup time. Then, a set of priority rules for development is chosen after a review of the literature, including Composite Dispatching Rules (CDRs) and Multi-Criteria Decision Making (MCDM)-based priority rules like Preference Selection Index (PSI), and Proximity Index Value (PIV). The weights of criteria are obtained by fuzzy Stepwise Weight Assessment Ratio Analysis (Fuzzy SWARA). Discrete Event Simulation (DES) model is developed to assess the performance of the DRCFJSPs with different rules. Numerical examples and real-world problems (with 114 jobs, 28 machines, and 23 people) are used to determine the best-performing prioritization rule. For all cases, the CDR considering Processing Time, Least Work Remaining, Earliest Due Date were found to be the best. The PSI-based rule is in second rank for large-scale case. Overall, the suggested approach yields solid results and is easy to adapt to real-world scenarios.