The production of cumene, an essential intermediate in the production of phenol and acetone, is a complex process involving several different unit operations. To enhance the effectiveness and long-term viability of the cumene manufacturing process, this research article suggests a simulation and optimization strategy that uses the DWSIM software. To represent the catalytic reaction between benzene and propylene over an acid catalyst, the simulation model is constructed by applying the principles of kinetics and thermodynamics. To make an accurate prediction of the process’s performance, the model considers several different process parameters, such as temperature, pressure, and feed composition. An improvement in the process conditions and an increase in the yield and purity of cumene can be achieved through optimization strategies, such as sensitivity analysis and mathematical optimization algorithms. The findings demonstrate the capability of the DWSIM software to simulate and optimize complex chemical processes, providing valuable insights that can be utilized in the design and operation of cumene production plants.