Skip to main content
SpringerLink
Log in
Springer

Flexible Services and Manufacturing Journal - Call for Papers for Special Issue on Digital twins enabled manufacturing and logistics in Industry 4.0/5.0

Flexible Services and Manufacturing Journal is seeking submissions to a forthcoming Special Issue on Digital Twins Enabled Manufacturing and Logistics in Industry 4.0/5.0.

A broad literature about Digital Twin developed since its inception as a concept over 20 years ago. Although Digital Twin is a relatively complete theoretical and technical system, it encompasses many different systems and a large variety of different application domains. Scholars and experts in academia and industry apply digital twin in different industries. Especially in the manufacturing and logistics industries, digital twins have been widely used as an important enabling technology for digital transformation. Taking a digital twin-as-a-service perspective, this implies different solutions, each tailored for its problem. This special issue seeks to distill the theoretical insights from these applications to further advance digital twin theory. Digital Twin is a key technology of Industry 4.0 and it will be in the era of Industry 5.0. It is important given the need to increase productivity whilst addressing increased needs for customization and personalization.

In this special issue of the Flexible Services and Manufacturing (FSM) Journal, we call for academic research on theoretical grounded industrial applications and implementation of digital twin technology across various manufacturing and logistics industries. How digital twin is applied to model, simulate, analyze, optimize and control production and logistics systems should be explored, and new insights for both academia and industry provided. The practical application should create new theory, for example using design science or intervention-based research, or theory should be supported/advanced through practical applications, for example through case study or action research. The special issue includes, but is not limited to, the following topics:

  • Digital Twins frameworks and methodologies for manufacturing and logistics
  • Data models and advanced data analytics of Digital Twins for manufacturing and logistics
  • Digital Twins for human-robot collaboration in manufacturing and assembly
  • Artificial Intelligence (AI) - based Digital Twins enabled manufacturing and logistics
  • Simulation-based Digital Twins in manufacturing and logistics
  • Digital Twins for production planning, scheduling and control
  • Digital Twins for logistics management
  • Digital Twins for collaborative decision-making
  • Industrial implementation of Digital Twins in manufacturing and logistics
  • Review about Digital Twins in manufacturing and logistics

Important Dates 

  • Full paper submission deadline: June 15, 2024
  • First review: Jun. 30, 2024
  • Second review: Aug. 30, 2024
  • Final acceptance: Nov. 30, 2024

Submission Guidelines
Please prepare your paper according to the submission guidelines of FSM and submit it online via http://www.editorialmanager.com/flex/ (this opens in a new tab) (choose SI: Digital twins in manufacturing and logistics).
The submitted papers must not have been previously published or be currently under consideration for publication elsewhere. All papers will be reviewed according to the standards of the FSM journal. We will adopt a rapid and fair review process in order to meet the target publication date. Please feel free to contact the editors with any questions.

Guest Editors
Prof. Jun-Qiang Wang
Department of Industrial Engineering
Northwestern Polytechnical University
China
Email: wangjq@nwpu.edu.cn (this opens in a new tab)

Dr. Kai Zhang (Contact)
Shenzhen Research Institute
The Hong Kong Polytechnic University
Hong Kong
Email: kai-1.zhang@polyu.edu.hk (this opens in a new tab)

Prof. Liang Zhang
Department of Electrical and Computer Engineering
University of Connecticut
USA
E-mail: liang.zhang@uconn.edu (this opens in a new tab)

Prof. Matthias Thürer 
Chair of Factory Planning and Intralogistics
Chemnitz University of Technology
Germany
E-mail: matthias.thuerer@mb.tu-chemnitz.de (this opens in a new tab)

Prof. Xiaojun Liu
Department of Industrial Engineering
Southeast University
China
E-mail: liuxiaojun@seu.edu.cn (this opens in a new tab)

Associate Editor
Prof. Junfeng Wang
Department of Industrial and Manufacturing System Engineering
Huazhong University of Science and Technology
China
E-mail: wangjf@hust.edu.cn (this opens in a new tab)

Search

Navigation