The prime focus of any industry is to consume the energy efficiently and identify the bottlenecks in the system that will enhance the efficiency of process and the system. The companies should not omit the problems those are considerably influencing the potential of the production processes. System and people accountable for those right chains of manufacturing process try to find ways to remove the bottlenecks and minimize the waiting time per process at the mechanical system. The speed of the production process is confined by the process which has the least efficiency. The inferred results and outputs of the experimental analysis display the chances of the bottlenecks in the system. The theory of constraints is used to identify the bottlenecks by taking the input data over a period of the time and analyzing it. Its data includes the average complete production time required for each individual product to be manufactured. The bottlenecks of the machine or system are found which further helps in increasing the efficiency of the system with efficient use of resources opted. The foremost aim of this paper is to spot the probability of implementing a preferred simulation tool and analyzing production process bottlenecks. The elemental approach of analysis utilized for the study was literature studies with simulation.