Digital twin implementation approach in supply chain processes

Abstract

Integrating technology and data throughout value chains is critical for achieving efficiency. Smart technologies that enable innovation and continuous improvement are key to long-term success. Modelling and simulation of business processes help to better understand existing systems and optimize processes. However, current approaches to digital transformation tend to focus solely on outcomes rather than the strategic methodology needed for successful implementation, resulting in differing valuations of solutions investments. This paper's significant contribution is introducing a new conceptual implementation method for digital twin technology in supply chain processes. This methodology enables technology and system evaluation at the process study stage, and a stylized business case demonstrates its application in a real-world scenario involving digital twin integration into order fulfilment in a manufacturing factory using Business Process Modelling Notation (BPMN) to simulate "As-Is" and "To-Be" processes.