Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/114740
Title: Operation twins-driven human-centric replenishment-kitting synchronization for smart customized production logistics
Authors: Li, M 
Liu, F
Li, M 
Zhou, Q
Ling, S
Qu, T
He, Z
Issue Date: Nov-2025
Source: Advanced engineering informatics, Nov. 2025, v. 68, pt. B, 103687
Abstract: Customized manufacturing mode is characterized by a wide variety of products and materials, mixed production volume, and order-driven operations. This study focuses on replenishment and kitting operations in a mass customization workshop under assemble-to-order (ATO) mode. Field investigation reveals that the lack of coordination between replenishment and kitting operations can increase the operation time and ergonomic risks of operators, thereby leading to low overall efficiency, increased operational costs, and reduced health levels. To address this issue, this paper proposes a novel operation twin driven human-centric replenishment-kitting synchronization framework (HCRK-Sync) for coordinated operations. The proposed operation twin framework consists of vertical twinning and horizontal twining, in which vertical twinning leverages Industry 5.0 technologies and human digital twin for real-time operational status perception and horizontal twining focuses on HCRK-Sync decision mechanism. The HCRK-Sync mechanism aims to minimize order operation time and human ergonomic risks, thereby achieving a harmonious balance between replenishment tasks and picking efficiency. Experiment results indicate that compared to traditional methods, HCRK-Sync shows significant advantages in improving picking efficiency and reducing ergonomic risks, with an average reduction of 9%-35% in total order operation time and 8%-50% in ergonomic risks, demonstrating stability and adaptability across different production scenarios.
Keywords: Assemble-to-Order
Coordinated decisions
Ergonomic Risk
Human digital twin
Industry 5.0
Mass Customization
Publisher: Elsevier
Journal: Advanced engineering informatics 
EISSN: 1474-0346
DOI: 10.1016/j.aei.2025.103687
Appears in Collections:Journal/Magazine Article

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