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Feature Papers in the ‘Industrial and Manufacturing Engineering’ Section
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Feature Papers in the ‘Industrial and Manufacturing Engineering’ Section

A special issue of Applied System Innovation (ISSN 2571-5577). This special issue belongs to the section "Industrial and Manufacturing Engineering".

Deadline for manuscript submissions: 30 October 2025 | Viewed by 3406

Special Issue Editor

Prof. Dr. Cheng-Fu Yang

E-Mail Website
Guest Editor
Department of Chemical and Materials Engineering, National University of Kaohsiung, Kaohsiung, Taiwan
Interests: electronic ceramics; high-frequency communication materials; applied science
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to invite you to contribute a paper to our Special Issue focusing on “Industrial and Manufacturing Engineering”. This issue is dedicated to providing an inclusive platform for researchers, engineers, and practitioners to share their latest discoveries, innovations, and insights within the realm of industrial and manufacturing engineering. Our goal is to encourage interdisciplinary collaboration and the exchange of ideas to tackle contemporary challenges and uncover opportunities for enhancing industrial and manufacturing practices. Through a selection of high-caliber research articles and reviews, we aim to enrich the existing knowledge base in areas such as advanced manufacturing technologies, supply chain management, quality control, and sustainability. Ultimately, our aim is to foster the development of more efficient, resilient, and sustainable industrial systems.

Suggested themes and article types for submissions:

  1. Advanced Manufacturing Technologies: this theme encompasses cutting-edge techniques and technologies utilized in manufacturing processes, including additive manufacturing, robotics, automation, and digital manufacturing.
  2. Supply Chain Management and Logistics Optimization: articles within this theme may concentrate on enhancing efficiency, sustainability, and resilience within supply chains by employing optimization techniques, risk management strategies, and emerging technologies such as blockchain and IoT.
  3. Quality Control and Six Sigma: this theme encompasses research on quality management methodologies, such as Six Sigma, Lean Manufacturing, Total Quality Management (TQM), and statistical process control, and their applications in enhancing product quality, reducing defects, and improving customer satisfaction.
  4. Sustainable Manufacturing and Green Technologies: articles in this field may explore environmentally friendly practices, circular economy principles, the integration of renewable energy, waste reduction, and eco-design strategies to foster sustainable development within the industrial and manufacturing sectors.

Reviews and original research articles focusing on these themes, as well as related topics, are strongly encouraged for submission. Should you require further assistance or wish to include additional details, please let us know. We are here to help facilitate your submission process

Prof. Dr. Cheng-Fu Yang
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. Applied System Innovation 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 1400 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

  • advanced manufacturing technologies
  • supply chain management and logistics optimization
  • quality control and six sigma
  • sustainable manufacturing and green technologies

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  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

17 pages, 2370 KiB  
Article
Analysis of the Use of Similarity Coefficients in Manufacturing Cell Formation Processes
by Miguel Afonso Sellitto
Appl. Syst. Innov. 2025, 8(1), 23; https://doi.org/10.3390/asi8010023 - 11 Feb 2025
Viewed by 691
Abstract
This study investigated the application of similarity coefficients in cellular layout and group technology in industrial organizations, focusing on multicellular manufacturing. Cell formation methods and techniques were explored, ranging from similarity of operations to production volume, in addition to the main elements of [...] Read more.
This study investigated the application of similarity coefficients in cellular layout and group technology in industrial organizations, focusing on multicellular manufacturing. Cell formation methods and techniques were explored, ranging from similarity of operations to production volume, in addition to the main elements of group technology. Cellular layout and group technology offer tangible benefits to industrial processes, such as increased operational efficiency, reduced production costs, and improved quality of final products. The choice and implementation of techniques based on similarity take into account factors such as product variety, production volume, process complexity, and market demand. One of the techniques is the use of similarity coefficients. The purpose of this study is to analyze the use of similarity coefficients in the cell formation process. The technical contribution of this study is that now practitioners have a detailed guide to applying similarity coefficients and verifying the results of the cell formation process in manufacturing activities. A bibliometric search using convenient keywords in the Google Scholar search engine identified the incidences of twenty types of similarity coefficients. The most cited coefficient, the Jaccard coefficient, was tested in standard and non-standard application cases, and the results were compared to support a conclusion. Further research should involve quantitative techniques such as multicriteria evaluation and fuzzy logic in the cell formation process. Full article
(This article belongs to the Special Issue Feature Papers in the ‘Industrial and Manufacturing Engineering’ Section)
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18 pages, 6159 KiB  
Article
Computer-Vision-Based Product Quality Inspection and Novel Counting System
by Changhyun Lee, Yunsik Kim and Hunkee Kim
Appl. Syst. Innov. 2024, 7(6), 127; https://doi.org/10.3390/asi7060127 - 18 Dec 2024
Viewed by 1581
Abstract
In this study, we aimed to enhance the accuracy of product quality inspection and counting in the manufacturing process by integrating image processing and human body detection algorithms. We employed the SIFT algorithm combined with traditional image comparison metrics such as SSIM, PSNR, [...] Read more.
In this study, we aimed to enhance the accuracy of product quality inspection and counting in the manufacturing process by integrating image processing and human body detection algorithms. We employed the SIFT algorithm combined with traditional image comparison metrics such as SSIM, PSNR, and MSE to develop a defect detection system that is robust against variations in rotation and scale. Additionally, the YOLOv8 Pose algorithm was used to detect and correct errors in product counting caused by human interference on the load cell in real time. By applying the image differencing technique, we accurately calculated the unit weight of products and determined their total count. In our experiments conducted on products weighing over 1 kg, we achieved a high accuracy of 99.268%. The integration of our algorithms with the load-cell-based counting system demonstrates reliable real-time quality inspection and automated counting in manufacturing environments. Full article
(This article belongs to the Special Issue Feature Papers in the ‘Industrial and Manufacturing Engineering’ Section)
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