Innovations in Intelligent Machinery and Industry 4.0
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".
Deadline for manuscript submissions: closed (20 December 2022) | Viewed by 31182
Special Issue Editors
Interests: knowledge engineering; intelligent system design; intellectual property (IP, patents, trademarks) analysis; engineering (tangible and intangible) asset management
Special Issues, Collections and Topics in MDPI journals
Interests: AI in healthcare; service design; smart retail; knowledge-based systems; digital transformation; e-government; sectoral systems of innovation
Special Issues, Collections and Topics in MDPI journals
Interests: robotics; product development; mechatronics; mobile robotics; system modeling; automation; machining; advanced control theory
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Intelligent machinery and Industry 4.0 are often viewed in three levels, i.e., the device level, the connection level, and the systems management level. In the device level, intelligent machine tools need to have the ability to process and communicate information of inputs, outputs, and intermediary data for smart machining. The level of connection allows machine tools to exchange information and interrogate each other intelligently. The systems management level enables the entire factory or supply chain system to be operated and managed with full synchronization of humans, machines, and systems physically and cybernetically. This Special Issue calls for research papers which present innovative and advanced theories and practices in intelligent machinery and Industry 4.0.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- AI, machine learning, and deep learning approaches for complex decision making in smart machinery, such as intelligent control, intelligent diagnosis, and intelligent manufacturing planning;
- Management and full utilization of big data collected in real-time from supply chains for intelligent decision makings;
- Cloud and edge computing architectures, frameworks, and practical applications for smart machinery;
- IT governance, data security, and accessibility issues for complex manufacturing systems and their stakeholders;
- Real cases of innovative machinery design, intelligent machinery applications, implementations, and their impacts on manufacturing and services;
- Lifecycle value chain management for smart machinery and Industry 4.0;
- Advanced and integrated digital transformation (DT) technologies and applications for Industry 4.0;
- Theoretical and empirical performance models for AI applications;
- Explainable AI, responsible AI, and trustworthy AI for Industry 4.0;
- Sustainable and smart product-service system (smart PSS) in Industry 4.0;
- Managing risk of new technologies in Industry 4.0;
- Green and circular economy concept-centric digital transformation (DT) and innovation ecosystems in Industry 4.0;
- Business model-centric digital transformation (DT) and innovation ecosystems in Industry 4.0;
- Green and circular economy concept-centric digital transformation (DT) and innovation ecosystems in Industry 4.0;
- Forecasting and industrial competitiveness analysis for emerging digital technologies in Industry 4.0 based on bibliometrics and patent analysis;
- Human factors and design for emerging manufacturing and servitization model in Industry 4.0;
- Analyzing the functional dynamics and new models of supply chain and demand chain in Industry 4.0;
- Industry 4.0-based industrial innovation model and technology policy research based on emerging digital technologies;
- Expert systems, knowledge-based systems, and clouding manufacturing systems for Industry 4.0.
We look forward to receiving your contributions.
Prof. Dr. Amy J.C. Trappey
Prof. Dr. Ching-Hung Lee
Prof. Dr. John P.T. Mo
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- intelligent machinery
- smart manufacturing
- Industry 4.0
- cyber-physical system (CPS)
- digital twin
- smart machine tool
- intelligent control
- intelligent sensor technology
- artificial intelligence
- machine/deep learning
- smart product service system (smart PSS)
- digital transformation
- mass customization
- sustainable manufacturing for Industry 4.0
- human factors for Industry 4.0
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.