Rapid developments in numerical control technology stimulated the use of automation in industry. One of the most widely used forms of industrial automation is the use of robots for the execution of hazardous, repetitious and difficult tasks. Robots can achieve a wide variety of tasks in a production facility including spot welding, material handling, spray painting, machine loading and assembly. Since they are controlled by computers, they can be connected to the other computers systems in the production facility to achieve computer integrated manufacturing. In addition, a robot can perform a task with a consistency and repeatability that can not be achieved by a worker (Groover, 2008).
Due to the above-cited advantages, robots can provide significant improvements in product quality and production efficiency. However, a company should determine the most suitable robot alternative for a particular task in order to fully experience the benefits provided by a robotic system. That is why robot selection is a crucial process affecting the competitiveness and profitability of a company. Decision makers must consider various objective and subjective criteria during this process. Objective criteria can be defined in numerical terms while the subjective criteria can be defined qualitatively. Table 1 presents the objective and subjective robot selection criteria commonly employed in the literature.