Advances in Intelligent and Adaptive Decision Support Systems

Dear Colleagues,

Recently, the importance of intelligent and adaptive decision support systems (IADSSs) in Industry 4.0/5.0 has increased significantly. Companies are paying increasing attention to the implementation of intelligent systems in their production and business processes. IADSSs also have the ability to interact with the environment, resulting in the ability to adapt and reconfigure in a dynamically changing environment.

IADSSs have gained considerable interest within the different fields of Industry 4.0/5.0 through the utilization of artificial intelligence (AI) and machine learning (ML) methodologies. These systems have the ability to improve decision-making processes and optimise the outcome of problems and tasks. There is a need for in-depth research that encompasses and evaluates different methodologies, thus filling the existing research gap. The current state of research in the field of AI and ML in Industry 4.0/5.0 is characterized by a dearth of comprehensive reviews and practice applications that encompass the wide array of methodologies utilized. Although some studies have focused on specific aspects of this topic, there are still novel aspects and research gaps in the diverse studies on this topic. The objective of this Special Issue is to conduct an analysis of AI and ML methodologies in the field of Industry 4.0/5.0, with a specific emphasis on their practical applications, advantages, and constraints. The Special Issue will also ascertain potential areas for future research and improvement in the domain of IADSSs. The field will present the emergence of key research areas, namely, the utilization of Internet of Things (IoT), AI, supply chain optimization, sustainability, and human–machine collaboration. The incorporation of AI and ML techniques within IADSSs can effectively tackle various issues such as cost overruns, project delays, safety concerns, etc.

The aim of the Special Issue is to present significant developments in the field for a wide range of current and future applications.

Therefore, we invite researchers working in this area to submit their papers with their latest results to this Special Issue.

Topics of interest include (but are not limited to) the following topics:

• Monitoring systems and sensors;
• Industrial Internet of Things, edge computing, and federated learning;
• Databases and knowledge management;
• Advanced machine-to-machine communication;
• AI-based industrial data analysis and decision support systems in industry;
• Advanced classification and prediction of signals and datasets;
• Modelling and simulation;
• Predictive maintenance and digital twins;
• Human–machine collaboration within the Industry 5.0 paradigm;
• Intelligent supply chain management;
• Intelligent optimization of production processes and ERP;
• E-maintenance and mobile technologies;
• Additive manufacturing, 3D printing, and reverse engineering;
• Green production, sustainability, eco-design, and LCA;
• Innovative thinking and intelligent design;
• Intelligent materials.

Dr. Rojek Izabela
Dr. Dariusz Mikołajewski
Dr. Ewa Dostatni
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. Electronics 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.

• artificial intelligence
• machine learning
• Industry 4.0/5.0
• intelligent system
• adaptive system
• support decision