Current robotics advances allow optimization of logistics processes, in large industries, the implementation of manipulators make repetitive, and precise tasks easier to complete in a short period of time. Country's economy growth depends on how productive the production lines are. Honduras lacks industrial robotic implementation, due to the slow advance in optimizatio n, industrial tasks are mostly carried out by operators who work together to complete these processes. Due to the uncertainty generated by these issues within the country, a productivity test of four end-effectors and industrial robots was carried out using a simulator, in which scenarios were designed for an individual test of each end-effector proving the optimal one for each industrial task. This study was completed using the spiral-type methodology, in which iterations concerned the textiles and food industrial scenarios, highlighting as a first option, the pneumatic operation end-effectors.