Special Issue "Smart Manufacturing Systems for Industry 5.0: Challenges and Opportunities"

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

Deadline for manuscript submissions: 31 March 2021.

Special Issue Editors

Prof. Dr. Antonella Petrillo
Website SciProfiles
Guest Editor
University of Naples “Parthenope”, Isola C4, Centro Direzionale Naples (NA) 80143, Italy
Interests: smart manufacturing; digital transformation; sustainability; circular economy; automation systems
Special Issues and Collections in MDPI journals
Prof. Dr. Fabio De Felice
Website
Guest Editor
Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, 0043, Italy
Interests: digital manufacturing, multi-criteria decision making, safety and human factors, smart manufacturing
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, the focus on smart manufacturing systems has been pushing companies toward a new variety of highly specific technical solutions. These solutions are characterized by an integrated approach to manufacturing termed “digital manufacturing”. In fact, digital manufacturing systems often incorporate optimization capabilities to reduce time and cost and improve the efficiency of most processes. The digital revolution is now our “present” and not the future. There are many different tooling processes that digital manufacturing utilizes, such as artificial intelligence, automation and robotics, additive technology, and human–machine interaction. These tools are unleashing innovations that will change the nature of manufacturing itself.

Industry and academic leaders agree that digital-manufacturing technologies will transform every link in the manufacturing value chain, from research and development, supply chain, and factory operations to marketing, sales, and service.

Furthermore, recently, some studies have identified several interlinks between smart manufacturing and sustainability. Emerging academic research is concerned with how the principles, practices, and enabling technologies of industry 4.0 might unlock the potentials of circular economy (CE) and sustainable manufacturing. Digitalization and the use of big data are seen as key enablers for increased sustainability and for the implementation of a circular economy.

Promoting research for innovation, sustainable solutions, and sustainable lifestyles in a new digitalized society and business sector, as well as facilitating them by financial measures and social measures, are the key tasks of this Special Issue.

This Special Issue is will collect a high-quality selection of contemporary research articles on the topic of “Smart Manufacturing Systems for Industry 5.0: Challenges and Opportunities”.

We are particularly interested in publishing articles not only from a traditional point of view but also from new emerging trends in order to meet practitioners’ needs and make theoretical contributions. This call is also aimed at collecting contributions that explore policies and practices adopted in different countries/regions in the field of smart manufacturing, as well as on the results obtained.

Prof. Dr. Antonella Petrillo
Prof. Fabio De Felice
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 papers will be 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 1800 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

  • Smart manufacturing: Economic and technology development
  • Sustainable manufacturing and industrial policy
  • Circular economy and blue economy (best practices for the transition toward a CE, CE policies impact assessments)
  • Process digitalization, rethink robotics, cobot, and advanced manufacturing solution
  • Enabling technology (IoT, simulation and digital twin, additive manufacturing, big data, cyber-physical systems, augmented reality, horizontal and vertical system integration, autonomous robot, virtual reality, machine learning, etc.)
  • 5G and smart manufacturing
  • Innovation and new business model
  • Product life-cycle management to support industry 4.0
  • Life cycle assessment and environmental impacts of industry 4.0
  • Climate change
  • Design for environment
  • Innovative software
  • Decision analysis
  • Decision support systems applications
  • Optimization and management in manufacturing
  • Strategies for emerging technologies and strategic sectors

Published Papers (6 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Jump to: Review

Open AccessArticle
The Construction of an Intelligent Risk-Prevention System for Marine Silk Road
Appl. Sci. 2020, 10(15), 5044; https://doi.org/10.3390/app10155044 - 22 Jul 2020
Abstract
The purpose of this study is to explore how to effectively prevent risks in the Marine Silk Road. This paper establishes a hierarchical theoretical framework by using the interpretive structural modeling (ISM) and explores an application system for intelligent prevention. The fuzzy set [...] Read more.
The purpose of this study is to explore how to effectively prevent risks in the Marine Silk Road. This paper establishes a hierarchical theoretical framework by using the interpretive structural modeling (ISM) and explores an application system for intelligent prevention. The fuzzy set theory is also used to screen out the unnecessary attributes, and a decision-making and trial evaluation laboratory (DEMATEL) is proposed to manage the complex interrelationships among the aspects and attributes. Finally, we suggest an applicable risk-prevention system for the Marine Silk Road. Our results: (1) the solution to international political and trade risks is the most critical for the risk prevention; (2) the solution to marine meteorological risks relies mainly on the improvement of ocean information sharing mechanism driven by big data which needs international cooperation in terms of information and technology; (3) the solution to marine energy and environmental risks also requires active international cooperation; (4) the application system should be built based on three levels, including the international level, the government level, and the company level. This theoretical hierarchical framework aims to guide the countries alongside the road to effectively prevent the risks on the Marine Silk Road, promote the sustainable development of the Marine Silk Road, and develop the transnational economies and cultures. Full article
Show Figures

Figure 1

Open AccessFeature PaperArticle
Industry 4.0 and World Class Manufacturing Integration: 100 Technologies for a WCM-I4.0 Matrix
Appl. Sci. 2020, 10(14), 4942; https://doi.org/10.3390/app10144942 - 18 Jul 2020
Abstract
In the last decade, technological progress has profoundly influenced the industrial world and all industrial sectors have been confronted with a change in technological paradigms. In such a context, this study aims to analyze the synergies between the technological world of Industry 4.0 [...] Read more.
In the last decade, technological progress has profoundly influenced the industrial world and all industrial sectors have been confronted with a change in technological paradigms. In such a context, this study aims to analyze the synergies between the technological world of Industry 4.0 and the purely organizational and managerial domain of World Class Manufacturing, a model of Operational Excellence. The objective is relating the driving dimensions of the World Class Manufacturing (WCM) system to the technological macrocategories of Industry 4.0: this would allow the identification of which technological solution to leverage on, aiming at optimization in a given World Class Manufacturing pillar. The result is a “WCM-I4.0 matrix”: a proposal to reconcile, exploit and trace the relations between the two complex concepts. The WCM-I4.0 matrix includes, by now, 100 Industry 4.0 technologies that best suits with the World Class Manufacturing pillars. Full article
Open AccessArticle
Value-Oriented and Ethical Technology Engineering in Industry 5.0: A Human-Centric Perspective for the Design of the Factory of the Future
Appl. Sci. 2020, 10(12), 4182; https://doi.org/10.3390/app10124182 - 18 Jun 2020
Abstract
Although manufacturing companies are currently situated at a transition point in what has been called Industry 4.0, a new revolutionary wave—Industry 5.0—is emerging as an ‘Age of Augmentation’ when the human and machine reconcile and work in perfect symbiosis with one another. Recent [...] Read more.
Although manufacturing companies are currently situated at a transition point in what has been called Industry 4.0, a new revolutionary wave—Industry 5.0—is emerging as an ‘Age of Augmentation’ when the human and machine reconcile and work in perfect symbiosis with one another. Recent years have indeed assisted in drawing attention to the human-centric design of Cyber-Physical Production Systems (CPPS) and to the genesis of the ‘Operator 4.0’, two novel concepts that raise significant ethical questions regarding the impact of technology on workers and society at large. This paper argues that a value-oriented and ethical technology engineering in Industry 5.0 is an urgent and sensitive topic as demonstrated by a survey administered to industry leaders from different companies. The Value Sensitive Design (VSD) approach is proposed as a principled framework to illustrate how technologies enabling human–machine symbiosis in the Factory of the Future can be designed to embody elicited human values and to illustrate actionable steps that engineers and designers can take in their design projects. Use cases based on real solutions and prototypes discuss how a design-for-values approach aids in the investigation and mitigation of ethical issues emerging from the implementation of technological solutions and, hence, support the migration to a symbiotic Factory of the Future. Full article
Show Figures

Figure 1

Open AccessArticle
Efficiency Analysis of Manufacturing Line with Industrial Robots and Human Operators
Appl. Sci. 2020, 10(8), 2862; https://doi.org/10.3390/app10082862 - 21 Apr 2020
Abstract
The problem of production flow and evaluation of productivity in the manufacturing line is analysed. Machines can be operated by humans or by robots. Since breakdowns and human factors affect the destabilization of the production processes, robots are preferred. The main problem is [...] Read more.
The problem of production flow and evaluation of productivity in the manufacturing line is analysed. Machines can be operated by humans or by robots. Since breakdowns and human factors affect the destabilization of the production processes, robots are preferred. The main problem is a proper methodology—how can we determine the real difference in work efficiency between human and robot at the design stage? Therefore, an analysis of the productivity and reliability of the machining line operated by human operators or industrial robots is presented. Some design variants and simulation models in FlexSim have been developed, taking into consideration the availability and reliability of the machines, operators and robots. Traditional productivity metrics, such as the throughput and utilization rate, are not very helpful for identifying the underlying problems and opportunities for productivity improvement in a manufacturing system, therefore we apply the OEE (overall equipment effectiveness) metric to present how the availability and reliability parameters influence the performance of the workstation, in the short and long terms. The implementation results of a real robotic line from industry are presented with the use of the overall factory efficiency (OFE) metric. The analysis may help factories achieve the level of world class manufacturing. Full article
Show Figures

Graphical abstract

Open AccessArticle
Smart Product Design Process through the Implementation of a Fuzzy Kano-AHP-DEMATEL-QFD Approach
Appl. Sci. 2020, 10(5), 1792; https://doi.org/10.3390/app10051792 - 05 Mar 2020
Abstract
Product design has become a critical process for the healthcare technology industry, given the ever-changing demands, vague customer requirements, and interrelations among design criteria. This paper proposed a novel integration of fuzzy Kano, Analytic Hierarchy Process (AHP), Decision Making Trial and Evaluation Laboratory [...] Read more.
Product design has become a critical process for the healthcare technology industry, given the ever-changing demands, vague customer requirements, and interrelations among design criteria. This paper proposed a novel integration of fuzzy Kano, Analytic Hierarchy Process (AHP), Decision Making Trial and Evaluation Laboratory (DEMATEL), and Quality Function Deployment (QFD) to translate customer needs into product characteristics and prioritize design alternatives considering interdependence and vagueness. First, the customer requirements were established. Second, the fuzzy KANO was applied to calculate the impact of each requirement, often vague, on customer satisfaction. Third, design alternatives were defined, while the requirements’ weights were calculated using AHP. DEMATEL was later implemented for evaluating the interdependence among alternatives. Finally, QFD was employed to select the best design. A hip replacement surgery aid device for elderly people was used for validation. In this case, collateral issues were the most important requirement, while code change was the best-ranked design. Full article
Show Figures

Figure 1

Review

Jump to: Research

Open AccessReview
Smart Manufacturing Systems and Applied Industrial Technologies for a Sustainable Industry: A Systematic Literature Review
Appl. Sci. 2020, 10(8), 2897; https://doi.org/10.3390/app10082897 - 22 Apr 2020
Abstract
Smart manufacturing is considered as a new paradigm that makes work smarter and more connected, bringing speed and flexibility through the introduction of digital innovation. Today, digital innovation is closely linked to the “sustainability” of companies. Digital innovation and sustainability are two inseparable [...] Read more.
Smart manufacturing is considered as a new paradigm that makes work smarter and more connected, bringing speed and flexibility through the introduction of digital innovation. Today, digital innovation is closely linked to the “sustainability” of companies. Digital innovation and sustainability are two inseparable principles that are based on the concept of circular economy. Digital innovation enables a circular economy model, promoting the use of solutions like digital platforms, smart devices, and artificial intelligence that help to optimize resources. Thus, the purpose of the research is to present a systematic literature review on what enabling technologies can promote new circular business models. A total of 31 articles were included in the study. Our results showed that realization of the circular economy involved two main changes: (i) managerial changes and (ii) legislative changes. Furthermore, the creation of the circular economy can certainly be facilitated by innovation, especially through the introduction of new technologies and through the introduction of digital innovations. Full article
Show Figures

Figure 1

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Sentiment classification of e-commerce product quality reviews by deep learning algorithm of Bert-BiGRU with AP-LDA
Authors: Yi Liu, Feng Mao*, Jiahuan Lu
Affiliation: Management School, Hangzhou Dianzi University, Hangzhou, China
Abstract: In order to enhance the accuracy of sentiment classification for e-commerce product quality reviews, this paper propose the deep learning algorithm of Bert-BiGRU with AP-LDA which uses the AP-LDA model to extract text features of e-commerce product quality reviews, and then uses the Bert-BiGRU with full connection layer to classify the sentiment tendency. Compared the RNN, GRU,LSTM and other algorithms, the experiments of different data sets show that the Bert-BiGRU algorithm with AP-LDA can analyze and achieve the better sentiment classification accuracy, which has increased by 3% ~ 7% on the effectiveness of the e-commerce product quality reviews. Keywords: E-commerce Product Quality Review; Sentiment Classifier; Deep Learning ; Latent Dirichlet Allocation(LDA) ; Bert-Bidirectional GRU

Back to TopTop