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Design and Optimization of Manufacturing Systems, 3rd Edition

A Special Issue of Applied Sciences (ISSN 2076-3417) belonging to the section "Applied Industrial Technologies".

Deadline for manuscript submissions: 30 October 2026 | Viewed by 495

Editors


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Guest Editor
Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia
Interests: modeling and optimization of processes; machine tools; application of evolutionary algorithms and other natural-based algorithms; process efficiency; energy savings in production processes
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia
Interests: production planning and scheduling; simulation of production processes; batch sizing; operations management; optimization algorithms
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Faculty of Mechanical Engineering, University of Maribor, Smetanova ul. 17, 2000 Maribor, Slovenia
Interests: smart production and manufacturing engineering; Industry 4.0; robotics and assembly systems; collaborative systems; simulation modelling; machine learning and optimization in production engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Today's market demands necessitate great efforts to ensure the survival and competitiveness of production companies, which are required to produce products of sufficient quality with the lowest possible production costs and provide timely delivery. In this context, production planning activities are of high importance. These activities are primarily related to the design of a suitable manufacturing system and the planning and optimization of the manufacturing process. Production planning problems possess high computational complexity, and finding a suitable solution is extremely challenging. Traditional approaches to manufacturing system design and production planning in general are not capable of capturing information in real time and responding quickly to changes in the production environment. For this reason, developing new theoretical and practical solutions is essential.

This Special Issue will collect research on the design and optimization of manufacturing systems to increase efficiency, reduce production costs, and improve sustainability and other performance measures relevant to today's production environments. Research papers that provide solutions to current real-world problems are also welcome.

Therefore, all experts are invited to submit their research to a Special Issue of Applied Sciences, "Design and Optimization of Manufacturing Systems, 3rd Edition".

We look forward to receiving your valuable contributions.

Prof. Dr. Zoran Jurković
Dr. David Ištoković
Dr. Janez Gotlih
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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

  • manufacturing systems
  • layout design
  • Industry 4.0
  • smart factory
  • production planning
  • scheduling
  • optimization
  • simulation

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Published Papers (1 paper)

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43 pages, 3542 KB  
Systematic Review
Integrating Automotive Production and Intralogistics Planning: A Systematic Literature Review of Optimization Problems and Research Directions
by Felicia Schweitzer, Lars Habel and Sigrid Wenzel
Appl. Sci. 2026, 16(17), 8526; https://doi.org/10.3390/app16178526 - 27 Aug 2026
Abstract
The increasing complexity of automotive production systems, driven by mass customization, the transition from internal combustion engine vehicles to electric vehicles, competitive markets, and cost pressure, has intensified the need for advanced optimization across production and intralogistics planning. Optimization refers to the process [...] Read more.
The increasing complexity of automotive production systems, driven by mass customization, the transition from internal combustion engine vehicles to electric vehicles, competitive markets, and cost pressure, has intensified the need for advanced optimization across production and intralogistics planning. Optimization refers to the process of determining the best feasible solution to a decision problem according to a defined objective function, subject to given constraints. Whereas most reviews focus on individual problem classes, this systematic literature review adopts an integrated production and intralogistics perspective. Following the PRISMA statement, four research questions on problem types, their classification, solution methods, and trends are addressed by searching four databases (Web of Science, IEEE Xplore, ACM Digital Library, and Science Direct), yielding 194 publications from 1983 to 2025. The analysis shows that production planning, scheduling, resource management, and uncertainty and robustness are the dominant problem types, while metaheuristics, exact methods, and simulation are the most common, frequently hybridized solution methods. Publication activity has risen sharply, with 73.7% of studies appearing since 2019 and material feeding, sustainability, human–robot collaboration, and machine learning showing increased recent publication activity. A taxonomy classifying optimization problems among five dimensions, problem type, decision level, objectives, solution methodology, and real-data usage is proposed to guide researchers and practitioners towards an integrated, industrially deployed optimization. Full article
(This article belongs to the Special Issue Design and Optimization of Manufacturing Systems, 3rd Edition)
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