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Feature Review Papers in Section Applied Industrial Technologies
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Feature Review Papers in Section Applied Industrial Technologies

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".

Deadline for manuscript submissions: 20 September 2025 | Viewed by 1592

Special Issue Editors

Dr. Antonella Petrillo

E-Mail Website
Guest Editor
Department of Engineering, University of Naples “Parthenope”, 80143 Napoli, Italy
Interests: green transition; digitalization; operations management; industrial plant
Special Issues, Collections and Topics in MDPI journals
Dr. Alexandre Carvalho

E-Mail Website
Guest Editor
Visabeira I&D, 3500-373 Viseu, Portugal
Interests: computational methods; data wrangling; open data; data-driven methods; model-driven methods; machine learning; big data; Industry 4.0

Special Issue Information

Dear Colleagues,

This Special Issue of Applied Sciencies (MDPI), entitled "Feature Review Papers in Section Applied Industrial Technologies", aims to consolidate and disseminate comprehensive insights into the latest advancements, challenges, and future directions in the field of industrial technologies. This Special Issue will showcase in-depth review articles that cover a broad spectrum of applied industrial technologies, including, but not limited to, manufacturing processes, automation, robotics, materials science, and industrial IoT. This Special Issue will focus on the identification of emerging trends, innovative applications, and the integration of cutting-edge technologies into industrial settings. These reviews are intended to serve as valuable resources for researchers, engineers, and practitioners, providing a detailed overview of the current state of the art and offering perspectives on future research and development.

Dr. Antonella Petrillo
Dr. Alexandre Carvalho
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

  • applied industrial technologies
  • manufacturing processes
  • automation and robotics
  • materials science
  • industrial IoT
  • smart manufacturing
  • industrial innovation
  • emerging technologies in industry
  • advanced production systems
  • Industry 4.0
  • ultra-reliable low-latency communication (URLLC)
  • massive machine-type communication (mMTC)
  • cyber-physical production systems (CPPS)
  • network slicing for distributed parallel processing

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Review

29 pages, 1124 KB  
Review
From Mathematical Modeling and Simulation to Digital Twins: Bridging Theory and Digital Realities in Industry and Emerging Technologies
by Antreas Kantaros, Theodore Ganetsos, Evangelos Pallis and Michail Papoutsidakis
Appl. Sci. 2025, 15(16), 9213; https://doi.org/10.3390/app15169213 - 21 Aug 2025
Viewed by 290
Abstract
Against the background of the unprecedented advancements related to Industry 4.0 and beyond, transitioning from classical mathematical models to fully embodied digital twins represents a critical change in the planning, monitoring, and optimization of complex industrial systems. This work outlines the subject within [...] Read more.
Against the background of the unprecedented advancements related to Industry 4.0 and beyond, transitioning from classical mathematical models to fully embodied digital twins represents a critical change in the planning, monitoring, and optimization of complex industrial systems. This work outlines the subject within the broader field of applied mathematics and computational simulation while highlighting the critical role of sound mathematical foundations, numerical methodologies, and advanced computational tools in creating data-informed virtual models of physical infrastructures and processes in real time. The discussion includes examples related to smart manufacturing, additive manufacturing technologies, and cyber–physical systems with a focus on the potential for collaboration between physics-informed simulations, data unification, and hybrid machine learning approaches. Central issues including a lack of scalability, measuring uncertainties, interoperability challenges, and ethical concerns are discussed along with rising opportunities for multi/macrodisciplinary research and innovation. This work argues in favor of the continued integration of advanced mathematical approaches with state-of-the-art technologies including artificial intelligence, edge computing, and fifth-generation communication networks with a focus on deploying self-regulating autonomous digital twins. Finally, defeating these challenges via effective collaboration between academia and industry will provide unprecedented society- and economy-wide benefits leading to resilient, optimized, and intelligent systems that mark the future of critical industries and services. Full article
(This article belongs to the Special Issue Feature Review Papers in Section Applied Industrial Technologies)
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22 pages, 667 KB  
Review
How Traditional Costing Methods Hinder the Development of Modular Product Architectures
by Morten Nørgaard, Jakob Meinertz Grønvald, Carsten Keinicke Fjord Christensen and Niels Henrik Mortensen
Appl. Sci. 2025, 15(11), 6307; https://doi.org/10.3390/app15116307 - 4 Jun 2025
Viewed by 794
Abstract
This study investigates how traditional costing methods hinder the development of modular product architectures. A structured literature review identifies the gap between Management Accounting (MA) and Innovation and Operations Management (IOM), revealing that current costing approaches often fail to provide an accurate cost [...] Read more.
This study investigates how traditional costing methods hinder the development of modular product architectures. A structured literature review identifies the gap between Management Accounting (MA) and Innovation and Operations Management (IOM), revealing that current costing approaches often fail to provide an accurate cost assessment of the impact of modularity effects across the product life cycle. A hypothesis is proposed, suggesting that defining cost allocation by levels of abstraction—product, subsystem, and component—can address the challenges in current methods. The analysis found that modularity effects are predominantly assessed at the product level in four out of five life-cycle phases, despite product costs being incurred at lower levels, leading to inaccuracies in cost allocation. This study concludes that current costing practices do not offer a sufficient level of detail for informed design decisions based on cost when it comes to developing modular product architectures and proposes the development of more refined cost models. It offers a new perspective on how to assess product variety and its related effects in a product portfolio. This lays the foundation for future research combining the fields of MA and IOM. This paper highlights the absence of a universal method to assess the total life-cycle cost of product portfolios and outlines directions for future work, including the development and testing of refined allocation models through industry case studies. Full article
(This article belongs to the Special Issue Feature Review Papers in Section Applied Industrial Technologies)
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