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Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems...
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Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems Volume II

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

Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 2617

Special Issue Editors

Prof. Dr. Vladimir Modrak

E-Mail Website
Guest Editor
Faculty of Manufacturing Technologies, Technical University of Košice, 040 01 Presov, Slovakia
Interests: industrial engineering; production planning; manufacturing management; optimization algorithms; production engineering; mass customization; optimization methods; logistics
Special Issues, Collections and Topics in MDPI journals
Dr. Zuzana Soltysova

E-Mail Website
Guest Editor
Department of Industrial Engineering and Informatics, Faculty of Manufacturing Technologies, Technical University of Košice, Presov, Slovakia
Interests: production planning and schedulin; manufacturing management; simulation; mass customization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is a continuation of our previous Special Issue, titled “Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems”.

Smart manufacturing is undoubtedly considered a paradigm shift in manufacturing technology. This conception is part of the Industry 4.0 strategy or equivalent national policies, and brings new challenges and opportunities for companies that are facing tough global competition. Industry 4.0 should not only be perceived as one of many possible strategies for manufacturing companies, but as an important practice within organizations, since it significantly increases the productivity of manufacturing processes and brings other benefits for companies and their customers. The introduction of smart manufacturing systems is associated with the adaptation of the Internet of Things, cyber physical systems, artificial intelligence, advanced robotics, cloud technology, and so forth. Moreover, the implementation of these technologies is paving the way for the digital evolution, which is impacting almost all industries and sectors worldwide. However, recent studies have shown that pre-existing managerial methods and philosophies such as lean manufacturing, reconfigurable manufacturing systems or cellular manufacturing systems are of the utmost importance for the concept of smart manufacturing. In this context, manufacturing system design and scheduling methods should be further improved. As a prime example of co-existence, traditional, existing manufacturing methods and I4.0 technologies are efforts to develop integrative models supporting both lean manufacturing tools and I4.0 technologies. This Special Issue aims to collect original contributions related to designing and scheduling smart manufacturing systems.

Potential topics include, but are not limited to, the following:

  • Modern methods and techniques for designing layout manufacturing systems;
  • Innovative approaches for solving manufacturing cell formation problems;
  • Modelling and designing flexible and reconfigurable manufacturing systems;
  • Heuristics and metaheuristics for solving facility layout design problems;
  • Heuristics and metaheuristics for solving scheduling problems;
  • Multiobjective methods and techniques for solving design problems;
  • Modeling manufacturing processes for smart cyber physical environments;
  • Modeling assembly processes for mass customized manufacturing;
  • Design of architecture for human–robot collaborative assembly systems;
  • Multiobjective optimization of mixed-model assembly line balancing problems.

Prof. Dr. Vladimir Modrak
Dr. Zuzana Soltysova
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

  • optimization
  • facility layout design
  • assembly line balancing
  • mass customization
  • scheduling problem

Published Papers (3 papers)

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19 pages, 2148 KiB  
Article
Cell Formation and Intra-Cell Optimal Machine Location in CMS: A Novel Genetic Algorithm (GA) Based on Machine Encoding
by Xuanyi Wu, Wenling Li, Muhammad Rizwan, Qazi Salman Khalid, Mohammed Alkahtani and Fahad M. Alqahtani
Appl. Sci. 2023, 13(22), 12323; https://doi.org/10.3390/app132212323 - 14 Nov 2023
Viewed by 713
Abstract
Manufacturing industries are in a constant state of competition to attract customers in a variety of methods. Group Technology (GT) is a term used in the field of manufacturing for grouping similar elements based on their similarities in production and design. Cellular manufacturing [...] Read more.
Manufacturing industries are in a constant state of competition to attract customers in a variety of methods. Group Technology (GT) is a term used in the field of manufacturing for grouping similar elements based on their similarities in production and design. Cellular manufacturing (CM) is an application of Group Technology (GT) that has gained widespread traction in Small- and Medium-Sized Enterprises (SMEs) during the recent years in order to increase the production floor’s efficiency and output. A Cell Formation consists of grouping identical machinery and assigning them on similar functions. There are three main decisions involved in designing the Cellular Manufacturing System (CMS): Group Scheduling (GS), Group Layout (GL), and Cell Formation (CF). In this study, the primary challenge associated with the CMS is not only the formation of cells but also the optimal placement of machinery within each cell. This paper’s objectives are therefore twofold: the formation of cells and the optimal placement of machinery within cells. For the purpose of Cell Formation and the position of machinery within the cell, a Genetic Algorithm (GA) and Encoding Scheme are employed. In this study, a Genetic Algorithm is used to classify machines and parts, while MATLAB is used for the simulation and encoding scheme. To evaluate the developed objective function and GA, a layout problem of medium size is solved. Results indicate that the proposed strategy is effective for resolving CMS issues and increasing productivity by 8.85%. Full article
(This article belongs to the Special Issue Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems Volume II)
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22 pages, 21938 KiB  
Article
Optimization Method of Assembly Tolerance Types Based on Degree of Freedom
by Guanghao Liu, Meifa Huang and Leilei Chen
Appl. Sci. 2023, 13(17), 9774; https://doi.org/10.3390/app13179774 - 29 Aug 2023
Cited by 1 | Viewed by 757
Abstract
The automatic generation of tolerance specifications is an important aspect of achieving digital product design. An obvious feature of the current automatic generation of tolerance based on rule reasoning is that all tolerance types will be inferred for the same assembly feature. However, [...] Read more.
The automatic generation of tolerance specifications is an important aspect of achieving digital product design. An obvious feature of the current automatic generation of tolerance based on rule reasoning is that all tolerance types will be inferred for the same assembly feature. However, when labelling part tolerance information, designers need to further screen based on the geometric function of the assembly, which may result in prioritizing tolerance types that do not meet the geometric requirements of the assembly. This paper presents an assembly tolerance type optimization method based on the degree of freedom (DOF) of tolerance zone for the optimization and screening problem after reasoning all possible tolerance types. Firstly, we define the DOF of tolerance zones and their representations, while also define the control parameter degrees of freedom (CPDF) of assemblies, and analyze the CPDF of typical geometric functional tolerances of assemblies; Secondly, the Boolean operation relationship between sets is used to construct a Boolean operation preference method for the CPDF. Then, an algorithm for the optimal selection of the shape and position tolerance items of the assembly is established based on the DOFs of tolerance zone. Finally, the proposed method is verified by an engineering example, and the result shows that the method can optimize and screen the geometric tolerance types of assemblies. Full article
(This article belongs to the Special Issue Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems Volume II)
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18 pages, 3699 KiB  
Article
Influence of Manufacturing Process Modularity on Lead Time Performances and Complexity
by Vladimir Modrak and Zuzana Soltysova
Appl. Sci. 2023, 13(12), 7196; https://doi.org/10.3390/app13127196 - 16 Jun 2023
Viewed by 752
Abstract
In principle, modular or integral character of manufacturing lines depends on the topological designs of products and determined operation tasks. On the other hand, in specific situations there is an articulated need for modular design in smart manufacturing systems since modular layouts are [...] Read more.
In principle, modular or integral character of manufacturing lines depends on the topological designs of products and determined operation tasks. On the other hand, in specific situations there is an articulated need for modular design in smart manufacturing systems since modular layouts are a crucial step towards agile production via smart manufacturing. The aim of this paper is to explore how the modular layout relates to manufacturing lead time (MLT) and to operational complexity of smart manufacturing systems. For this purpose, topologically different models of alternative process layouts were simulated and tested, while MLT values were obtained using Tecnomatix Plant Simulation. The obtained positive findings of this research could be useful not only in selection of the most suitable process design from the alternative ones, but especially in deepening the knowledge and bettering understanding of the concept of optimal network modularity. Full article
(This article belongs to the Special Issue Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems Volume II)
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