A roadmap for Assembly 4.0: self-configuration of fixed-position assembly islands under Graduation Intelligent Manufacturing System

Guo，Daqiang1,2; Zhong，Ray Y.1; Ling，Shiquan1,2; Rong，Yiming2; Huang，George Q.1

2020

10.1080/00207543.2020.1762944

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH   影响因子和分区

0020-7543

1366-588X

The layout of fixed-position assembly islands (FPAI) is widely used for producing fragile or bulky products. With the increasing customised demand and unique operation patterns, manufacturing practitioners are facing challenges on flexible and efficient production arrangement to meet customer demand, which lead to inappropriate assembly islands configuration, frequent setups and long waiting times in FPAI. Industry 4.0 comes with the promise of improved flexibility and efficiency in manufacturing. In the context of Industry 4.0, this paper proposes a 5-layer APICS (assembly layer, perception layer, interaction layer, cognition layer, and service layer) roadmap for transformation and implementation of Assembly 4.0. Following the 5-layer APICS roadmap, a Graduation Intelligent Manufacturing System (GiMS) is presented as the pioneering implementation in FPAI. A graduation-inspired assembly system is designed for FPAI at assembly layer. Internet of Things (IoT) and industrial wearable technologies are deployed for perception, connection, and collaboration among various manufacturing resources at perception and interaction layer. A self-configuration model is proposed at cognition layer for autonomously configuring optimal assembly islands and corresponding production activities to meet customer demand. Cloud-based services are developed for managers and onsite operators to facilitate their decision-making and daily operations at service layer. Finally, a demonstrative case is conducted to verify the feasibility of the proposed methods.

Assembly 4.0 cloud-based services fixed-position assembly intelligent manufacturing system self-configuration

SCI ; EI

英语

其他

National Key Research and Development Program of China[2018YFB1702800] ; Shenzhen Science, Technology and Innovation Commission Support Program[KQJSCX20170728162555608] ; Hong Kong ITF Innovation and Technology Support Program[ITP/079/16LP]

Engineering ; Operations Research & Management Science

Engineering, Industrial ; Engineering, Manufacturing ; Operations Research & Management Science

WOS:000536978100001

TAYLOR & FRANCIS LTD

20202208763476

Assembly ; Decision making ; Wearable technology ; Internet of things

Data Communication, Equipment and Techniques:722.3 ; Computer Software, Data Handling and Applications:723 ; Management:912.2 ; Manufacturing:913.4

ENGINEERING

2-s2.0-85085482720

Scopus

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

Guo，Daqiang,Zhong，Ray Y.,Ling，Shiquan,et al. A roadmap for Assembly 4.0: self-configuration of fixed-position assembly islands under Graduation Intelligent Manufacturing System[J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH,2020,58(15):4631-4646.

Guo，Daqiang,Zhong，Ray Y.,Ling，Shiquan,Rong，Yiming,&Huang，George Q..(2020).A roadmap for Assembly 4.0: self-configuration of fixed-position assembly islands under Graduation Intelligent Manufacturing System.INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH,58(15),4631-4646.

Guo，Daqiang,et al."A roadmap for Assembly 4.0: self-configuration of fixed-position assembly islands under Graduation Intelligent Manufacturing System".INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 58.15(2020):4631-4646.