A Decision-Making Framework using a Preference Selection Index Method for Automated Guided Vehicle Selection Problem

Automated guided vehicle selection, a key concern in manufacturing environment is a complex, difficult task and requires extensive technical knowledge with systematic analysis. It is invaluable to justify the selected equipment before actual implementation of the same. This paper presents a logical procedure to select automated guided vehicle in manufacturing environment for a given application. The procedure is based on preference selection index (PSI) and TOPSIS with entropy weights method. An automated guided vehicle selection index is proposed that evaluates and ranks automated guided vehicle for the given application. We demonstrate the effectiveness and feasibility of methods with an illustration.