A Review of Production Line Balancing and Optimization for Manufacturing Enterprises in the Context of Industry 4.0

Abstract

As global manufacturing moves toward intelligent, digital transformation, the concept of Industry 4.0 has created an enormous demand for highly flexible and responsive production systems. To meet this demand, manufacturing enterprises of all kinds are actively adopting advanced technologies such as the Internet of Things, digital twins, and artificial intelligence to optimize production processes and reduce resource waste. This paper provides a comprehensive and systematic review of the current state of research on production line balancing and its optimization strategies in the context of Industry 4.0, in order to fill the conceptual gap left by the unclear relationship between traditional line balancing theory and the dynamic requirements of modern intelligent manufacturing. The findings show that academic attention has gradually shifted from traditional mathematical programming and static heuristic algorithms toward dynamic planning theories driven by real-time data, human-machine collaboration, and cyber-physical systems. The intelligent manufacturing technologies that enterprises adopt at the strategic and tactical levels profoundly shape line balance and efficiency through distinct elements and mechanisms. This review helps managers and production engineers identify best practices in the field and thus provides effective guidance for building smart factories and making operational decisions.