Evaluation of Autonomous Robot Alternatives for Warehouse Optimization Using the Analytic Hierarchy Process

Abstract

In today's world, the optimization of storage and logistics processes is of great importance for efficiency and cost-effectiveness. In this context, the use of autonomous robots emerges as a potential solution to improve storage operations. However, selecting among different autonomous robot alternatives is a complex process that requires consideration of multiple criteria. This study examines the use of the analytic hierarchy process method, a multi-criteria decision-making technique, for evaluating autonomous robot alternatives in warehouse optimization. These techniques allow decision-makers to evaluate alternatives systematically and objectively based on defined criteria. The method used in the study assesses the hierarchical structure between criteria and sub-criteria, using pairwise comparison matrices to determine the relative importance of each criterion. The evaluation was based on five main criteria: carrying capacity, speed, maneuverability, battery life, and investment cost. This approach facilitates a clear articulation of priorities among the criteria by decision-makers. The study aims to select the most suitable one among three different robot alternatives for a warehouse. As a result of the study, the most suitable robotic alternative was identified, and the findings were analyzed and interpreted.