Digital Twin for Scheduling Management in Manufacturing Systems: Review and Perspectives

This chapter delves into the transformative potential of digital twins in scheduling management for manufacturing systems, focusing on flow shop and job shop production contexts. It begins by introducing the concept of digital twins, their evolution, and their essential attributes, highlighting their role in real-time simulation and optimization of production processes. The text then outlines a systematic literature review methodology, detailing the steps taken to collect and analyze existing research on digital twin technology. Key findings from the literature review are presented, emphasizing the applications and benefits of digital twins in improving production efficiency and performance. The chapter also discusses the convergence and divergence points between digital twins and manufacturing execution systems, underscoring their complementary roles in smart manufacturing. Additionally, it explores the fields of application for digital twins across various industries, including healthcare and autonomous vehicles. The chapter concludes with perspectives on future research directions, such as advanced analytics, standardization, real-world applications, and Industry 4.0 synchronization, offering a roadmap for further enhancing dynamic scheduling systems in manufacturing.