Digital and Sustainable Manufacturing in 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: 20 June 2024 | Viewed by 2764

Special Issue Editors

Department of Mechanical, Chemical and Industrial Design Engineering, Universidad Politécnica de Madrid, Ronda de Valencia 3, 28012 Madrid, Spain
Interests: quality assurance engineering; manufacturing engineering; industrial engineering
Special Issues, Collections and Topics in MDPI journals
I3A, Universidad de Zaragoza, María de Luna 3, 50018 Zaragoza, Spain
Interests: precision engineering; dimensional metrology; manufacturing systems
Special Issues, Collections and Topics in MDPI journals
Department of Civil and Mechanical Engineering, Technical University of Denmark, Produktionstorvet Building 427A, 2800 Kgs., Lyngby, Denmark
Interests: micro- and nanoscale polymer manufacturing; micro- and nanometrology; additive manufacturing; surface replication
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The evolution from current to future factories is supported by research contributions in many cross-disciplinary fields, where digitalization and sustainability perspectives are present. Industry 4.0 represents a common framework in accelerated development where those contributions meet to lay the foundation of future factories and manufacturing systems. This Special Issue invites novel and quality research paper contributions employing a wide range of technologies together with the design and operation of manufacturing systems and thus contributing to this evolution. Topics of interest include, but are not limited to, the following:

  • Lean manufacturing in product lifecycle framed in Industry 4.0; 
  • Digitally enabled manufacturing technologies for mass production;
  • Automation and process integration through collaborative robotics and sensors in production/assembly lines;
  • Flexible manufacturing systems routing/scheduling for minimum resource use;
  • Automated quality assurance, traceability, and in-line metrology;
  • Twin green and digital transition technologies and applications;
  • Circular engineering in the product life cycle;
  • From lean to human-centered manufacturing science and innovation applications.

Manufacturing systems and their integration under sustainability criteria, as well as individual processes and process chains, fit the scope of this Special Issue. Links to factory job shops, including case studies presenting novel and relevant technical/scientific contributions, are welcome.

Dr. Roque Calvo
Dr. José A. Yagüe-Fabra
Dr. Guido Tosello
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

  • digital manufacturing
  • sustainable and green manufacturing
  • manufacturing automation
  • quality control
  • digital twin
  • cyber physical manufacturing systems
  • flexible manufacturing systems
  • Industry 4.0
  • lean manufacturing in Industry 4.0
  • collaborative robots in manufacturing
  • agile manufacturing systems
  • mass customization
  • high-speed product development
  • circular engineering
  • product life cycle engineering
  • precision and in-line process control
  • on-machine metrology
  • training systems for workers in digitalized factories
  • manufacturing innovations

Published Papers (4 papers)

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Editorial

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2 pages, 205 KiB  
Editorial
Special Issue “Digital and Sustainable Manufacturing in Industry 4.0”
by Roque Calvo, José A. Yagüe-Fabra and Guido Tosello
Appl. Sci. 2023, 13(20), 11384; https://doi.org/10.3390/app132011384 - 17 Oct 2023
Viewed by 496
Abstract
The evolution from current to future factories is supported by research contributions in many cross-disciplinary fields, where digitalization and sustainability perspectives are present [...] Full article
(This article belongs to the Special Issue Digital and Sustainable Manufacturing in Industry 4.0)

Research

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20 pages, 2952 KiB  
Article
Production Systems with Parallel Heterogeneous Servers of Limited Capacity: Accurate Modeling and Performance Analysis
by Roque Calvo and Ana Arteaga
Appl. Sci. 2024, 14(1), 424; https://doi.org/10.3390/app14010424 - 03 Jan 2024
Viewed by 557
Abstract
Heterogeneous systems of limited capacity have general applications in manufacturing, but also in logistic or service systems due to the differences in server or workstation performance or work assignment; this is in close relationship with system flexibility, where saturation and blocking are ordinary [...] Read more.
Heterogeneous systems of limited capacity have general applications in manufacturing, but also in logistic or service systems due to the differences in server or workstation performance or work assignment; this is in close relationship with system flexibility, where saturation and blocking are ordinary situations of systems with high demand and limited capacity, and thus, accurate loss quantification is essential for performance evaluation. Multi-class systems of limited capacity have been studied much less than parallel homogeneous systems (Erlang models). In this context, accurate models for parallel heterogeneous ordered-entry systems were developed: without any prior queue, i.e., M/Mi/c/c, and with a k-capacity queue, i.e., M/Mi/c/c + k. These new matrix models gave an exact state formulation, and their accuracy was verified using discrete event simulation and comparison with literature results. Also, the effect of the queue capacity was studied in relationship to the pattern of service rates. Next, the heterogeneous recirculating system model was also developed with good approximation results. Finally, the proposed models were applied to evaluate systems with non-exponential service times using a new hybrid methodology by combining the Markovian model and the Monte Carlo method (MCM) for normal or lognormal service times, which also yielded useful good approximations to the simulated system. Full article
(This article belongs to the Special Issue Digital and Sustainable Manufacturing in Industry 4.0)
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Review

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18 pages, 1062 KiB  
Review
Logistics Service Provider Lifecycle Model in Industry 4.0: A Review
by Sunida Tiwong, Manuel Woschank, Sakgasem Ramingwong and Korrakot Yaibuathet Tippayawong
Appl. Sci. 2024, 14(6), 2324; https://doi.org/10.3390/app14062324 - 10 Mar 2024
Viewed by 623
Abstract
Supply chain and logistics management is of tremendous importance for multinational organizations. Logistics Service Providers (LSPs) provide logistics services and smooth logistics operations between suppliers, manufacturers, distributors, and customers. This paper uses a Systematic Literature Review (SLR) to identify the current trends and [...] Read more.
Supply chain and logistics management is of tremendous importance for multinational organizations. Logistics Service Providers (LSPs) provide logistics services and smooth logistics operations between suppliers, manufacturers, distributors, and customers. This paper uses a Systematic Literature Review (SLR) to identify the current trends and future developments of LSPs and the underlying (smart) logistics operations connected to the concept of lifecycle management. An SLR review was conducted to identify relevant research papers in the areas of LSPs and logistics lifecycle management. Out of 288 papers analyzed, 81 were identified as highly appropriate for in-depth analysis. The LSP Lifecycle Model (LSLM) was then developed by combining logistics service characteristics and the lifecycle management concept, including Product Lifecycle Management (PLM), Service Lifecycle Management (SLM), and Product Service System (PSS). The LSLM consists of three phases: The Beginning of Life (BOL), the Middle of Life (MOL), and the End of Life (EOL). The LSLM is characterized by three phases, eight criteria, and seventeen sub-criteria. This paper aims to fulfil customer requirements through a product or service in the whole lifecycle of the logistics service provider. The findings further present an adaptable LSLM by focusing on various logistics services and integrating sustainability factors to meet market trends. Logistics cost factors can also be used to evaluate logistics services in the MOL stage. The EOL shows the trend of risk management, evaluation, and decomposition, which is determined by new or re-designed logistics products and services. Full article
(This article belongs to the Special Issue Digital and Sustainable Manufacturing in Industry 4.0)
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38 pages, 3225 KiB  
Review
A Review of Industry 4.0 Assessment Instruments for Digital Transformation
by Miranda Zamora Iribarren, Claudia Lizette Garay-Rondero, Isaac Lemus-Aguilar and Rodrigo E. Peimbert-García
Appl. Sci. 2024, 14(5), 1693; https://doi.org/10.3390/app14051693 - 20 Feb 2024
Viewed by 530
Abstract
Nowadays, different Industry 4.0 technologies have been implemented into diverse industries. However, these implementations are not standardized across similar industries and countries. Consequently, companies are actively looking for assessment instruments—maturity models, roadmaps, frameworks, readiness assessments—to assist in their digital transformation, to determine their [...] Read more.
Nowadays, different Industry 4.0 technologies have been implemented into diverse industries. However, these implementations are not standardized across similar industries and countries. Consequently, companies are actively looking for assessment instruments—maturity models, roadmaps, frameworks, readiness assessments—to assist in their digital transformation, to determine their Industry 4.0 level, and to identify technologies and strategies that should be implemented in specific areas, thus developing a feasible implementation plan. A review is conducted following the PRISMA (Preferred Reporting Items for Systematic Literature Reviews and Meta-Analyses) methodology to analyze the different research works on assessment instruments focused on Industry 4.0. A total of 538 articles, book chapters, conference proceedings, editorial material, reviews, and reports written in the English language were retrieved. Of these, 132 research papers were examined using a mixed analysis format to generate bibliometrics, and 36 articles were then deeply studied for a complete meta-analysis. The findings and insights of this meta-analysis led to a compilation and summary of dimensions, outcomes, enablers, and key components typically involved in Industry 4.0, which are comprehensively integrated to present the best practices for assessing Industry 4.0 and deploying a digital transformation that can impact productivity, flexibility, sustainability, quality, costs, and time. Full article
(This article belongs to the Special Issue Digital and Sustainable Manufacturing in Industry 4.0)
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