| Article ID: | iaor2009536 |
| Country: | United Kingdom |
| Volume: | 9 |
| Issue: | 1 |
| Start Page Number: | 75 |
| End Page Number: | 98 |
| Publication Date: | Jan 2008 |
| Journal: | International Journal of Management and Decision Making |
| Authors: | Kumanan S., Anand M. Dev, Selvaraj T., Johnny M. Austin |
| Keywords: | fuzzy sets |
Selection of a robotic system is an important task for the dynamic scenario. Improper selection may adversely affect a firm's production by reducing the quality of the product, thereby reducing productivity as well as profitability. In order to select a suitable robotic system for a specified job, several factors have to be considered. Investment decisions for robotic system are capital intensive and are usually made by a committee of experts from different functional backgrounds within a company. Ignoring this factor, most models for robot or robotic system selection assume that there is only a single decision maker. This paper discusses a robotic system selection model incorporating the inputs from multiple decision makers. This model is based on the Fuzzy Analytic Hierarchy Process.