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.
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