There is an evident research gap in the field of robotic automation of business processes, especially in logistics and supply chain management. The goal of this paper is to establish an innovative, structured approach for selecting among multiple proposed processes in order to support higher quality and more reliable managerial decision-making regarding business process automation in logistics companies, using the AHP (Analytic Hierarchy Process) method. Specific criteria and sub-criteria are defined based on the needs of the company, as well as suitable numerical and verbal scales for evaluating alternatives. The alternatives represent processes considered for automation within the QMS (Quality Management System) and IT (Information Technology) sector. For hierarchical structure modelling, the Criterium DecisionPlus software is used. The analysis enables the identification of the priority process for automation. Additionally, the impact of changes in criteria priorities on the process ranking is examined, as a type of simulation of potential changes in managerial decision-making. The results indicate that the proposed model is stable and reliable for process ranking. Therefore, the proposed methodology represents a practical tool that can potentially be applied in related companies when choosing priorities in digital transformation processes. A proposal for further research is the risk assessment of the automation of the analysed processes.
Savić et al. (Thu,) studied this question.