Multi-objective coupling optimization of electrical cable intelligent production line driven by digital twin

Abstract

With the development of the personalized and diversified service production paradigm, production lines need to be updated in a timely manner to meet market demand. In this paper, we propose a digital twinning-based coupled optimization method for an electrical cable intelligent production lines to address coupling issues such as unreasonable production line layout, imbalanced station loads, inaccurate logistics distribution, and inaccurate equipment testing. The system framework is constructed based on the idea of make-twin and object-oriented, and we introduce a piecewise coupling mechanism and a multi-objective optimization algorithm for digital twin model systems. Then, a cable production line example is presented to validate the effectiveness of the modeling approach. Upon implementing the proposed model in an electrical cable production line, productivity and line balancing increased by 13.4 % and 8.4 %, respectively, while equipment utilization increased by 4.38 %. The cycle times and defective product rates were reduced by 4.7 % and 17.6 %, respectively. The results show that the coupled optimization method for digital twin-based intelligent production lines is practical and instructive for improving production line efficiency.