Digital twin-based smart assembly process design and application framework for complex products and its case study

Yi, Yang; Yan, Yingjie; Liu, Xiaojun; Zhang, Ni; Feng, Jindan; Liu, Jinshan

doi:10.1016/j.jmsy.2020.04.013

Cited by 173 publications

(53 citation statements)

References 40 publications

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“…rough the exploration of the application practice of DT, the five-dimensional DT model was put forward [9], which was verified to have satisfactory practicability [42]. It also provides a general reference model for the application of DT in different fields [43].…”

Section: Dtmentioning

confidence: 97%

Automated Container Terminal Production Operation and Optimization via an AdaBoost-Based Digital Twin Framework

Chang

Gao

et al. 2021

Journal of Advanced Transportation

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Digital twin (DT), machine learning, and industrial Internet of things (IIoT) provide great potential for the transformation of the container terminal from automation to intelligence. The production control in the loading and unloading process of automated container terminals (ACTs) involves complex situations, which puts forward high requirements for efficiency and safety. To realize the real-time optimization and security of the ACT, a framework integrating DT with the AdaBoost algorithm is proposed in this study. The framework is mainly composed of physical space, a data service platform, and virtual space, in which the twin space and service system constitute virtual space. In the proposed framework, a multidimensional and multiscale DT model in twin space is first built through a 3D MAX and U3D technology. Second, we introduce a random forest and XGBoost to compare with AdaBoost to select the best algorithm to train and optimize the DT mechanism model. Third, the experimental results show that the AdaBoost algorithm is better than others by comparing the performance indexes of model accuracy, root mean square error, interpretable variance, and fitting error. In addition, we implement empirical experiments by different scales to further evaluate the proposed framework. The experimental results show that the mode of the DT-based terminal operation has higher loading and unloading efficiency than that of the conventional terminal operation, increasing by 23.34% and 31.46% in small-scale and large-scale problems, respectively. Moreover, the visualization service provided by the DT system can monitor the status of automation equipment in real time to ensure the safety of operation.

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Section: Dtmentioning

confidence: 97%

Automated Container Terminal Production Operation and Optimization via an AdaBoost-Based Digital Twin Framework

Chang

Gao

et al. 2021

Journal of Advanced Transportation

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“…In assembly, assembly process reflects assembly sequence and operation method. Yi [ 25 ] not only proposed a DT model for intelligent planning of assembly process, but also provided an application framework for DT-based assembly with three layers.…”

Section: Related Workmentioning

confidence: 99%

A digital twin-driven human-robot collaborative assembly approach in the wake of COVID-19

Zhang

Sun

et al. 2021

Journal of Manufacturing Systems

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In the wake of COVID-19, the production demand of medical equipment is increasing rapidly. This type of products is mainly assembled by hand or fixed program with complex and flexible structure. However, the low efficiency and adaptability in current assembly mode are unable to meet the assembly requirements. So in this paper, a new framework of human-robot collaborative (HRC) assembly based on digital twin (DT) is proposed. The data management system of proposed framework integrates all kinds of data from digital twin spaces. In order to obtain the HRC strategy and action sequence in dynamic environment, the double deep deterministic policy gradient (D-DDPG) is applied as optimization model in DT. During assembly, the performance model is adopted to evaluate the quality of resilience assembly. The proposed framework is finally validated by an alternator assembly case, which proves that DT-based HRC assembly has a significant effect on improving assembly efficiency and safety.

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“…Consequently, any change in the production plan was communicated to the warehouse through IoT. Some other authors such as Zhuang et al [147], Semunab et al [139], Qu et al [134] and Qu et al [131] also suggested using RFID as a representative of IoT for planning and scheduling related activities. Zhang et al [133] developed an active sensing system of real-time and multisource manufacturing information.…”

Section: Category 2: Planning and Scheduling-related Activitiesmentioning

confidence: 99%

A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective

2021

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A data-driven approach in production logistics is adopted as a response to challenges such as low visibility and system rigidity. One important step for such a transition is to identify the enabling technologies from a value-creating perspective. The existing corpus of literature has discussed the benefits and applications of smart technologies in overall manufacturing or logistics. However, there is limited discussion specifically on a production logistics level, from a systematic perspective. This paper addresses two issues in this respect by conducting a systematic literature review and analyzing 142 articles. First, it covers the gap in literature concerning mapping the application of these smart technologies to specific production logistic activities. Ten groups of technologies were identified and production logistics activities divided into three major categories. A quantitative share assessment of the technologies in production logistics activities was carried out. Second, the ultimate goal of implementing these technologies is to create business value. This is addressed in this research by presenting the “production logistics data lifecycle” and the importance of having a balanced holistic perspective in technology development. The result of this paper is beneficial to build a ground to transit towards a data-driven state by knowing the applications and use cases described in the literature for the identified technologies.

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Digital twin-based smart assembly process design and application framework for complex products and its case study

Cited by 173 publications

References 40 publications

Automated Container Terminal Production Operation and Optimization via an AdaBoost-Based Digital Twin Framework

Automated Container Terminal Production Operation and Optimization via an AdaBoost-Based Digital Twin Framework

A digital twin-driven human-robot collaborative assembly approach in the wake of COVID-19

A Systematic Review on Technologies for Data-Driven Production Logistics: Their Role from a Holistic and Value Creation Perspective

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