Digital twin-enabled Graduation Intelligent Manufacturing System for fixed-position assembly islands

Guo, Daqiang1,2; Zhong, Ray Y.1; Lin, Peng1; Lyu, Zhongyuan1; Rong, Yiming2; Huang, George Q.1

2020

10.1016/j.rcim.2019.101917

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING   影响因子和分区

0736-5845

1879-2537

The layout of fixed-position assembly islands is widely used in the heavy equipment industry, where the product remains at one assembly island for its entire assembly period, while required workers, equipment, and materials are moved to the island according to the assembly plan. Such layout is not only suitable for producing bulky or fragile products, but also offers considerable flexibility and competitive operational efficiency for products with medium variety and volumes. However, due to inherent complexity of the product, sophisticated assembly operations heavily rely on skilled operators, and the complexity and uncertainty are high and amplified by such massive manual interventions as well as the unique routing patterns of the fixed-position assembly process. Aiming at reducing the complexity and uncertainty, this paper introduces a digital twin-enabled Graduation Intelligent Manufacturing System (DT-GiMS) for fixed-position assembly islands. Inspired by the success of graduation ceremony, an assembly system-Graduation Manufacturing System (GMS) is proposed for fixed-position assembly islands, in which job tickets, setup tickets, operation tickets, and logistics tickets are designed to organize the production activities. Following the concept of digital twin, unified digital representations with appropriate sets of information are created at object level, product level, and system level, respectively. Through Internet of Things (IoT), smart gateway, Web 3D and industrial wearable technologies, vital information including identity, status, geometric model, and production process can be captured and mapped in physical space, and converged and synchronized with their digital representations in twin (cloud) space on a real-time basis. The overall framework of DT-GiMS is presented with physical layer, digital layer, and service layer. Real-time convergence and synchronization among them ensure that right resources are allocated and utilized to the right activities at the right time with enhanced visibility. Considering customer demand and production capacity constraints, real-time ticket pool management mechanisms are proposed to manage production activities in a near-optimal way under DT-GiMS. With the support of cloud-based services provided in service layer in DT-GiMS, managers could easily make production decisions, and onsite operators could efficiently complete their daily tasks with nearly error-free operations with enhanced visibility. A demonstrative case is carried out to verify the effectiveness of the proposed concept and approach.
© 2019 Elsevier Ltd

Digital twin Intelligent manufacturing system Fixed-position assembly Cloud-based services Real-time synchronization

EI ; SCI ; SSCI

英语

其他

Shenzhen Science, Technology and Innovation Commission Support Program[KQJSCX20170728162555608]

Computer Science ; Engineering ; Robotics

Computer Science, Interdisciplinary Applications ; Engineering, Manufacturing ; Robotics

WOS:000514013700017

Elsevier Ltd

20195107852201

Gateways (computer networks) ; Internet of things ; Manufacture ; Network layers ; Synchronization ; Visibility ; Wearable technology

Heat Treatment Processes:537.1 ; Computer Software, Data Handling and Applications:723 ; Vision:741.2 ; Systems Science:961

ENGINEERING

EV Compendex

1.Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, Hong Kong
2.Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, China

Guo, Daqiang,Zhong, Ray Y.,Lin, Peng,et al. Digital twin-enabled Graduation Intelligent Manufacturing System for fixed-position assembly islands[J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING,2020,63.

Guo, Daqiang,Zhong, Ray Y.,Lin, Peng,Lyu, Zhongyuan,Rong, Yiming,&Huang, George Q..(2020).Digital twin-enabled Graduation Intelligent Manufacturing System for fixed-position assembly islands.ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING,63.

Guo, Daqiang,et al."Digital twin-enabled Graduation Intelligent Manufacturing System for fixed-position assembly islands".ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING 63(2020).