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Advanced Technologies in Smart Manufacturing and Product Innovation

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Products and Services".

Deadline for manuscript submissions: 25 June 2024 | Viewed by 1737

Special Issue Editors


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Guest Editor
Faculty of Management, Czestochowa University of Technology, ul. Dabrowskiego 69, 42-201 Czestochowa, Poland
Interests: sustainability; production engineering; quality engineering
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Management, Czestochowa University of Technology, ul. Dabrowskiego 69, 42-201 Czestochowa, Poland
Interests: quality engineering; quality management; materials engineering; production engineering; surface engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Smart manufacturing is a technology-based approach that uses Internet-connected machines to monitor different manufacturing processes in enterprises. Its goal is to identify opportunities to automate operations and use data analysis to improve production efficiency and product quality. It can be also said to be a broad category of manufacturing that uses computer-integrated manufacturing, high levels of adaptability and rapid design changes, digital information technology and more flexible technical training for workers. It has emerged as a response to the Revolution 4.0.

Constantly changing market conditions and, above all, customer’s requirements, which are increasingly stringent due to increasingly easy access to global markets and, therefore, international competition, as well as the constant change in living conditions, have resulted in the need to introduce new products to the market. These products need to stand out, attracting the attention of potential customers.

All of this is forcing companies to look for new advanced technologies they can use to help them stay competitive in the market and meet the legal regulations, and most importantly, the customers’ requirements.

The scope of this Special Issue is to publish academic papers that address the newest technologies which appear on the market. The purpose of the Special Issue is to bring together scholars interested in smart manufacturing, product innovations and Industry 4.0, especially new solutions within these topics.

We encourage interdisciplinary scientists to share their experiences in this field. Different types of submissions (original research articles, case studies, reviews and critical perspectives) are expected. The main acceptance criteria include the originality, scientific rigor, novelty and scientific importance of the submitted manuscripts.

We look forward to receiving your contributions. 

Dr. Manuela Ingaldi
Prof. Dr. Dorota Klimecka-Tatar
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. Sustainability 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

  • smart manufacturing
  • product innovation
  • advanced technologies
  • manufacturing technologies
  • Industry 4.0
  • human–machine interaction
  • risk management
  • sustainability

Published Papers (1 paper)

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Research

21 pages, 545 KiB  
Article
Identifying Key Assessment Factors for a Company’s Innovation Capability Based on Intellectual Capital: An Application of the Fuzzy Delphi Method
by Benny Lianto
Sustainability 2023, 15(7), 6001; https://doi.org/10.3390/su15076001 - 30 Mar 2023
Cited by 2 | Viewed by 1346
Abstract
Innovation has become one of the most important sources of a company’s sustainable competitiveness. Therefore, every company strives continuously to improve its innovation capability. A company’s innovation capability is largely determined by various factors originating from its tangible and intangible resources. A lot [...] Read more.
Innovation has become one of the most important sources of a company’s sustainable competitiveness. Therefore, every company strives continuously to improve its innovation capability. A company’s innovation capability is largely determined by various factors originating from its tangible and intangible resources. A lot of research related to increasing innovation capability with assessment factors originating from tangible resources has been carried out, whereas the use of assessment factors originating from intangible capital, such as intellectual capital, is still relatively limited. This study aims to identify and screen the key assessment factors for innovation capability, based on the intellectual capital of Indonesia’s manufacturing sectors. This study used a systematic literature review and focus group discussions to establish 18 initial assessment factors, after which 14 final factors were screened out by industry practitioners and academic experts using the Fuzzy Delphi Method. Four factors had the highest de-fuzzy value (0.89), namely adaptation, innovation behavior, organization culture, climate, and forward linkages. The results also showed that three factors of the aspects of human capital (adaptation, innovation behavior, and high motivation and commitment) are considered important determinants for the assessment of innovation capabilities, based on intellectual capital. Full article
(This article belongs to the Special Issue Advanced Technologies in Smart Manufacturing and Product Innovation)
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