Optimizing Business Processes Using AI and Digital Twin

Abstract

A key tactic for increasing efficiency throughout value chains is the strategic integration of AI and digital twin technologies to optimize business processes. Understanding current systems and gaining insights into optimization depend greatly on modeling and simulating business processes. The supply chain procedures described in this chapter use a novel conceptual implementation strategy that makes use of digital twin technology. During the process study stage, the technique enables an extensive technology and system evaluation. Furthermore, this approach is exemplified through a practical business scenario, demonstrating the implementation of the strategy in order fulfilment within a manufacturing plant. The utilization of business process modeling notation (BPMN) is employed to meticulously map both the existing (“as-is”) processes and the desired future state (“to-be”) processes. The synergy of artificial intelligence (AI) and digital twin technologies not only fosters innovation but also serves as a guiding beacon for businesses, steering them toward enduring success.