2023
DOI: 10.3390/app13137439
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Load Balancing of Two-Sided Assembly Line Based on Deep Reinforcement Learning

Abstract: In the complex and ever-changing manufacturing environment, maintaining the long-term steady and efficient work of the assembly line is the ultimate goal pursued by relevant enterprises, the foundation of which is a balanced load. Therefore, this paper carries out research on the two-sided assembly line balance problem (TALBP) for load balancing. At first, a mathematical programming model is established with the objectives of optimizing the line efficiency, smoothness index, and completion time smoothness inde… Show more

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