Intelligent Factory 4.0: Advanced Production and Automation Systems, Volume II

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Automation and Control Systems".

Deadline for manuscript submissions: closed (31 July 2024) | Viewed by 2810

Special Issue Editor


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Guest Editor
Faculty of Mechanical Engineering, Poznan University of Technology, 21000 Poznan, Poland
Interests: smart factory; production planning and control; automatic data identification systems
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Special Issue Information

Dear Colleagues,

Following the success of the previous Special Issue, “Intelligent Factory 4.0: Advanced Production and Automation Systems” (https://www.mdpi.com/journal/machines/special_issues/Intelligent_Factory), we are pleased to announce the next in the series, titled “Intelligent Factory 4.0: Advanced Production and Automation Systems, Volume II.” 

The Fourth Industrial Revolution (Industry 4.0) capitalizes on the implementation of digitization and automation in manufacturing and production systems. These solutions make it possible to improve the efficiency of production processes, and thus, overall industrial activity. Therefore, it is important to design and control increasingly complex industrial cyber-physical systems.

In this regard, the main goal of this Special Issue is to promote advanced research in the field of intelligent manufacturing systems within the context of Industry 4.0. These studies should focus on the integration, development, and improvement of production processes. Submissions detailing research in the field of the automation of production processes, as well as those that explore the development of digital twins, are highly desirable. Practical experiences, through the description of case studies and original solutions as part of industrial activities, will bring significant value. Additionally, theoretical works, including methodological and procedural considerations about smart manufacturing systems and their detailed processes, are of interest to this Special Issue.

Dr. Krzysztof Żywicki
Guest Editor

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. Machines is an international peer-reviewed open access monthly journal published by MDPI.

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Published Papers (1 paper)

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Research

11 pages, 3796 KiB  
Article
Introduction of Collaborative Robotics in the Production of Automotive Parts: A Case Study
by Mirco Polonara, Alessandra Romagnoli, Gianfranco Biancini and Luca Carbonari
Machines 2024, 12(3), 196; https://doi.org/10.3390/machines12030196 - 16 Mar 2024
Cited by 2 | Viewed by 2243
Abstract
Incorporating collaborative applications constitutes a challenging and increasingly intricate objective within the context of small and medium-sized enterprises (SMEs). This challenge stems from the shortage of highly specialized personnel in these types of companies when it comes to adopting cutting-edge technologies. The lack [...] Read more.
Incorporating collaborative applications constitutes a challenging and increasingly intricate objective within the context of small and medium-sized enterprises (SMEs). This challenge stems from the shortage of highly specialized personnel in these types of companies when it comes to adopting cutting-edge technologies. The lack of innovation in production processes, however, increases the risk that SMEs will not be able to adapt to rapid changes in the market and the growing needs of consumers, who today are evolving at an unprecedented pace. The importance of adopting collaborative applications can be found in their capacity to harmonize human adaptability with the precision of robotic technology. This synergy contributes to the establishment of a safer work environment while guaranteeing effective and efficient performance. These features not only lead to improved production line performance compared to traditional manual or stationary operations, but also highlight new perspectives in the design, production, and customization of new products. This, in turn, helps companies strengthen their competitiveness in the global market. In this scenario, the primary challenge centers around effectively putting these solutions into practice. Our research aims to highlight how significant benefits can be achieved, both in terms of performance improvements and economically, through the analysis of a simple yet illuminating case study. Full article
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