Selecting the Right Warehouse Automation Solution A Decision-Making Framework Based on Qualifying and Comparable Factors

Abstract

The importance of warehouse automation is increasing, and it is essential to choose the right solution to meet business requirements. The purpose of this research is to identify critical factors that should be considered when selecting a warehouse automation solution. This study utilized semi-structured interviews to identify four qualifying and eight comparable factors. Based on these factors, a decision-making framework was developed to guide decision-makers towards physical automation solutions that align with their requirements. The proposed framework utilizes the Best-worst method (BWM) to help decision-makers prioritize automation solution features and select the most suitable solution. This research contributes to the existing literature by providing a decision-making framework that can be utilized to support organizations in selecting warehouse automation solutions that align with their unique requirements.