International Journal of Mechatronics and Manufacturing Systems
- Editor in Chief
- Prof. Tuğrul Özel
- ISSN online
- 1753-1047
- ISSN print
- 1753-1039
- 4 issues per year
- CiteScore 1.9 (2023)

IJMMS covers the broad field of mechatronics (computers, sensors, machines, controls) related to manufacturing processes and systems, highlighting R&D in the modern engineering of advanced mechatronics and manufacturing technology. It addresses all manufacturing equipment, processes and systems, including machining systems, metal forming, joining, lasers and electrically enhanced processes, additive manufacturing processes, hybrid and microfabrication processes. IJMMS also reports work on broad industrial applications, e.g. discrete product manufacturing systems with applications in automotive, aerospace, machine tool, computer, biomedical and other industries.
Topics covered include
- Additive manufacturing equipment and control
- Advanced/intelligent/smart machining systems
- Autonomous/adaptive control systems, sensors, actuators
- Biomanufacturing systems
- Computer-aided/integrated manufacturing methods
- Computer-aided inspection/quality control systems
- Computational methods and optimisation in manufacturing
- Expert manufacturing systems based on artificial intelligence methods
- Hybrid manufacturing processes/systems
- Metal forming manufacturing equipment and control
- Machine tool design and control
- Mechatronics systems in manufacturing
- Miniaturised manufacturing devices, equipment, systems
- Non-traditional machining systems
- Laser-based manufacturing systems
- Sensor fusion, network technologies for manufacturing
Objectives
The objective of IJMMS is to establish a channel of communication to disseminate knowledge between academics/researchers and industry practitioners about the advances in machine tools, mechatronics, sensors and controls applications in modern manufacturing systems.
Readership
Academics; manufacturing researchers; industrial, manufacturing, mechanical, systems engineers; professionals in machine tool, manufacturing equipment, mechatronics and related industries.
Contents
IJMMS publishes original research papers; review papers; technical papers and notes; short communications; discussion on papers; cases studies; special issues on selected topics reflecting important advances in the general field of mechatronics, manufacturing technology and manufacturing systems.
IJMMS is indexed in:
- Scopus (Elsevier)
- Compendex [formerly Ei] (Elsevier)
- Academic OneFile (Gale)
- cnpLINKer (CNPIEC)
- Expanded Academic ASAP (Gale)
- Google Scholar
- Info Trac (Gale)
- Inspec (Institution of Engineering and Technology)
- J-Gate
- ProQuest Advanced Technologies Database with Aerospace
IJMMS is listed in:
More journal lists/directories...Editor in Chief
- Özel, Tuğrul, Rutgers University, USA
(ozelrutgers.edu)
Associate Editors
- Benardos, Panorios, National Technical University of Athens, Greece
- Cao, Hongrui, Xi'an Jiaotong University, China
- Ceretti, Elisabetta, University of Brescia, Italy
- Karpat, Yiğit, Bilkent University, Turkey
- Sharma, Vishal S., Dr B R Ambedkar National Institute of Technology, Jalandhar, India
- Shokrani, Alborz, University of Bath, UK
Regional Editor Asia
- Dixit, Uday Shanker, Indian Institute of Technology, Guwahati, India
Regional Editor Europe
- Lopez de Lacalle, Luis Norberto, University of the Basque Country, Spain
Editorial Board Members
- Attanasio, Aldo, University of Brescia, Italy
- Baraldo, Stefano, University of Applied Sciences of Southern Switzerland, Switzerland
- Bocchi, Sara, University of Bergamo, Italy
- Cheng, Kai, Brunel University London, UK
- D'Urso, Gianluca, University of Bergamo, Italy
- Ihlenfeldt, Steffen, Technische Universität Dresden, Germany
- Jin, Xiaoliang, The University of British Columbia, Canada
- Kechagias, John (Ioannis), University of Thessaly, Greece
- Kyratsis, Panagiotis, University of Western Macedonia, Greece
- Law, Mohit, Indian Institute of Technology Kanpur, India
- Liu, Guoliang, Qingdao University of Technology, China
- Pfefferkorn, Frank, University of Wisconsin, USA
- Sing, Swee Leong, National University of Singapore, Singapore
- Tansel, Ibrahim N., Florida International University, USA
- Ünver, Hakkı Özgür, TOBB University of Economics and Technology, Turkey
- Vosniakos, George-Christopher, National Technical University of Athens, Greece
- Wegener, Konrad, ETH Zürich, Inspire AG, Switzerland
A few essentials for publishing in this journal
- Submitted articles should not have been previously published or be currently under consideration for publication elsewhere.
- Conference papers may only be submitted if the paper has been completely re-written (more details available here) and the author has cleared any necessary permissions with the copyright owner if it has been previously copyrighted.
- Briefs and research notes are not published in this journal.
- All our articles go through a double-blind review process.
- All authors must declare they have read and agreed to the content of the submitted article. A full statement of our Ethical Guidelines for Authors (PDF) is available.
- There are no charges for publishing with Inderscience, unless you require your article to be Open Access (OA). You can find more information on OA here.
- All articles for this journal must be submitted using our online submissions system.
- View Author guidelines.
Submission process
Journal news
Breaking artificial barriers in manufacturing
13 March, 2025
The integration of Artificial Intelligence (AI) into manufacturing processes has huge potential for improving productivity, efficiency, and safety. Machine learning models are already used to monitor equipment health and others predict supply-chain issues and consumer demand. However, research in the International Journal of Mechatronics and Manufacturing Systems suggests that there remain barriers to the more widespread adoption of AI in production environments. In particular, there are obstacles to incorporating AI in the early design phase. Yuji Yamamoto and Kristian Sandström of Mälardalen University in Eskilstuna, and Aranda Muñoz Álvaro of the Research Institutes of Sweden in Västerås, Sweden, explain how the early design phase is fundamental in determining how AI might ultimately be embedded into the manufacturing workflow. They point out that it is during this period that engineers, data scientists, production staff, and other stakeholders have to align their goals with functionality and outcomes [...]
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