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

Deadline for manuscript submissions: 30 June 2024 | Viewed by 7464

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Special Issue Editors

Prof. Dr. Arkadiusz Gola

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Department of Production Computerisation and Robotisation, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland
Interests: manufacturing system design; operations management; production logistics
Special Issues, Collections and Topics in MDPI journals

Prof. Dr. R.M. Chandima Ratnayake

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Department of Mechanical and Structural Engineering and Materials Science, University of Stavanger, Kitty Kiellands hus, Rennebergstien 30, 4021 Stavanger, Norway
Interests: product design and development; production engineering; design engineering; manufacturing process mechanics; engineering management; manufacturing process optimization
Special Issues, Collections and Topics in MDPI journals

Prof. Dr. Martin Krajcovic

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Guest Editor

Department of Industrial Engineering, University of Žilina, 01026 Žilina, Slovakia
Interests: industrial engineering; operations management; inventory control; logistics; warehousing; lean manufacturing; manufacturing system design; digital factory; virtual and augmented reality
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The changing market trends, globalization, the constant pressure to reduce production costs, and technical and technological progress make it necessary to search for new manufacturing methods and ways of organizing them and to modify existing manufacturing system design paradigms. Modern designing requires an in-depth analysis of market targets and possible ways of preparing and implementing usually automated and robotized manufacturing systems, assessing the impact of crucial factors, as well as integrating the knowledge of many branches of science and individual divisions. The target of each design is to optimally provide design processes while maintaining the required quality and minimizing the costs. In this context, new practical and scientific results are of great interest and importance for industrial engineering.

This Special Issue presents current research in different areas connected with operations and engineering of manufacturing systems. In particular, the papers to be published in this SI should cover the following subject areas:

Optimal and sustainable manufacturing systems design;
Manufacturing and assembly system balancing;
Multicriteria optimization in manufacturing systems operations and engineering;
AI-driven methods of manufacturing system planning, design, and optimization;
Smart manufacturing systems;
Digital twins in industrial engineering;
Automation and robotization of manufacturing systems;
Simulation in manufacturing systems;
Continuous improvements in production units;
Manufacturing technologies;
Production operations and management;
Predictive and preventive maintenance;
Industrial economics;
Knowledge-based manufacturing;
Mixed reality in manufacturing systems;
Flexible and adaptive manufacturing;
Human-centered manufacturing.

We look forward to receiving your valuable contributions for this Special Issue.

Prof. Dr. Arkadiusz Gola
Prof. Dr. R.M. Chandima Ratnayake
Prof. Dr. Martin Krajcovic
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

manufacturing systems
operations management
manufacturing system engineering
manufacturing technologies
optimization
industry 4.0

Published Papers (6 papers)

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Research

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16 pages, 2714 KiB

Open AccessArticle

Effectiveness of Bonding Steel Elements with Polyester-Coated Paint

by Anna Rudawska, Arkadiusz Gola, Jakub Pizoń, Paweł Capała and Łukasz Wójcik

Appl. Sci. 2023, 13(18), 10059; https://doi.org/10.3390/app131810059 - 6 Sep 2023

Viewed by 806

Abstract

The aim of the paper is to assess the impact of the effectiveness of bonding steel elements with paint coating. The adhesive joints were made using two types of the adhesives: two-component epoxy resin adhesive based on Bisphenol A and polyurethane. Three types of adhesive joints were made: (i) reference samples, (ii) samples with a paint polyester coating, and (iii) samples with a zinc primer and paint polyester coating. These coatings were applied using the electrokinetic method. A shear strength test of the adhesive joints (EN DIN 1465 standard), a coating adhesion test (ASTM D3359-B standard), and surface wettability tests (based on contact angle) were used. Through analyzing the test results, it can be seen that the strength of the adhesive joints of the reference samples made with epoxy adhesive is 46% lower than that of the specimens with primer and paint coating applied. However, in the case of the adhesive joints made with the polyurethane adhesive, the aforementioned difference in the strength value of the adhesive joints of the reference samples and paint-coated samples with an applied primer is 76%. Adherends with a paint coating and a previously applied primer obtained the lowest value of the contact angle (38.72°) and are characterized by good wettability. Full article

(This article belongs to the Special Issue Manufacturing Systems Operations and Engineering)

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20 pages, 4480 KiB

Open AccessArticle

Application of Simulation in the Optimization of the Blood Plasma Storage Process

by Peter Trebuna, Marek Kliment and Miriam Pekarcikova

Appl. Sci. 2023, 13(13), 7756; https://doi.org/10.3390/app13137756 - 30 Jun 2023

Viewed by 623

Abstract

The paper deals with the process of optimizing the creation of the output product, which is the Cobas HIV-1 blood plasma separation card. The capabilities of the Tecnomatix Plant Simulation software will be used in this process. The application of simulation software will help to reveal the possibilities of improvement during the entire production process of the said product and to debug all potential improvement errors on the digital model without physically interfering with the current production process. The paper contains a basic theoretical clarification of some basic terms. The following content describes individual parts of the production process in question. An analysis will be carried out, on the basis of which the most significant bottlenecks will be revealed. The data used to create the simulation were collected based on the recording of working time and its use on the given production line. This kind of observation also revealed initial bottlenecks. For these bottlenecks, a methodology for their effectiveness and criteria for their optimization is subsequently proposed. Subsequently, an optimization solution is proposed, which is verified and evaluated by simulation. The collected data were then transferred to a digital model in the form of a simulation. Based on the results of the simulation, the given optimization proposals will be evaluated at the end. Production on the line has been optimized gradually and thanks to this we can see several variants that can be compared, and the best one can be chosen. The development of the entire optimization process is the possibility to increase the production output from the original 350 produced pieces up to 699 pieces in the same time horizon. In the process of optimization, methodologies were created that followed it and gave instructions for the optimization of productions of a similar nature. In addition to the mentioned optimization simulation variants, the paper also contains a design solution proposal in the form of 3D models, when several workstations are united into one workstation. Full article

(This article belongs to the Special Issue Manufacturing Systems Operations and Engineering)

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21 pages, 6317 KiB

Open AccessArticle

Towards Hierarchical Workflows in SysML to Support Virtual Validation of Technical Systems

by Yizhe Zhang, Georg Jacobs, Gregor Hoepfner and Joerg Berroth

Appl. Sci. 2023, 13(8), 5122; https://doi.org/10.3390/app13085122 - 20 Apr 2023

Viewed by 1081

Abstract

Innovative Model-Based Systems Engineering (MBSE) applies function-oriented hierarchical system architecture and utilizes Systems Modeling Language (SysML) for virtual testing. However, for complex systems, the relevant virtual tests are scattered at different hierarchy levels. Manually performing these virtual tests requires a lot of effort and leads to the potential risk of errors due to the overlooking of some tests and functions. In order to solve these problems, it is necessary to develop automated virtual validation workflows for the function-oriented system architecture. This contribution proposes a standardized virtual validation workflow design framework corresponding to the hierarchical functional architecture to organize virtual tests. The virtual tests are also modeled in workflows consisting of a set of simulation activities that can execute domain models to simulate system behaviors. The simulation activities are developed modularly, corresponding to the classification of the domain models. The resulting workflows are implemented in a wind turbine (WT) system. It demonstrates that the workflows enable automated validation at all hierarchy levels and early detection of technical system failure risks. The design framework allows for the synchronous creation of validation workflows as functions are added or decomposed. The standardized design ensures easy redesign and function reuse across different systems. Modular design, based on model classification, enhances design agility and adaptability in various system contexts. The proposed virtual testing workflows automatically execute corresponding simulation activities sequentially. Full article

(This article belongs to the Special Issue Manufacturing Systems Operations and Engineering)

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17 pages, 5642 KiB

Open AccessArticle

Comparing Modern Manufacturing Tools and Their Effect on Zero-Defect Manufacturing Strategies

by Peter Trebuna, Miriam Pekarcikova and Michal Dic

Appl. Sci. 2022, 12(22), 11487; https://doi.org/10.3390/app122211487 - 12 Nov 2022

Cited by 7 | Viewed by 1555

Abstract

The aim of most manufacturing and production factories can be defined as achieving smart and sustainable long-term production systems, which means moving towards strategies defined by Zero-Defect Manufacturing strategies with many areas of improvement, such as: lowering overall cost and energy consumption, amount of scrapped output and wasting raw material and improving overall lead times, production status overview, and planning abilities. These facts were the motivations behind the writing of this paper. The authors considered if the classical architecture of Zero-Defect Manufacturing can be improved by additional tools conventionally used in modern manufacturing. The authors have selected Advanced Planning and Scheduling software tools. To prove that different scheduling methods can have a serious impact on overall production results, we prepared a simple case base comparing different scheduling rules. The theoretical basis for writing this manuscript was prepared by studying classical ZDM methodology and defining the industry gap. The methodology is based on the Zero-Defect Manufacturing architecture, which is essential for high-level implementation in industrial practice. Adding new tools, such as Scheduling and the Industrial Internet of Things, to the classic ZDM architecture improves overall methodology. The impact of different scheduling strategies, which is also described in this study, depends on industry and working conditions. The scheduling rules were compared by several key performance indicators, such as lead time and the number of late/unfinished orders. The study realized, with the practical accent shown this challenge, further research in connection with digitalization. Full article

(This article belongs to the Special Issue Manufacturing Systems Operations and Engineering)

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15 pages, 1491 KiB

Open AccessArticle

Development of a Procedure for Risk-Based Qualification of Additively Manufactured Components: Adopting to Oil and Gas Industrial Applications

by Behzad Abbaszadeh, R. M. Chandima Ratnayake, Mehdi Eskandarzade, Masoud Ajri, Hassanali Rasouli and Meysam Najafi Ershadi

Appl. Sci. 2022, 12(20), 10313; https://doi.org/10.3390/app122010313 - 13 Oct 2022

Viewed by 1462

Abstract

Recent advances in additive manufacturing (AM) technology provide the potential for on-demand and rapid production of spare parts during urgent repair times. Recently, big oil and gas companies have shown early progress in using additive technology in manufacturing specific heat exchangers, downhole cleanout tool nozzles, offshore risers, gas turbine nozzles, and subsea chemical stick injection tools. Despite the mentioned progress, the current adoption level of additive technology for the offshore oil and gas industry is very limited. Non-destructive and destructive evaluation methods of additively manufactured metallic components have been studied extensively. However, the technique selection procedure and scope of the required test methods have not been studied sufficiently. This paper discusses various elements related to the qualification of additively manufactured components for application in the oil and gas industry. A risk-based qualification method for identifying the scopes of required non-destructive and destructive tests and the resulting qualification procedure for additively manufactured spare components in offshore oil and gas applications is suggested. Full article

(This article belongs to the Special Issue Manufacturing Systems Operations and Engineering)

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Other

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18 pages, 3241 KiB

Open AccessSystematic Review

Factors That Impact the Dynamics and Effectiveness of Work Teams during the Implementation of Continuous Improvement Tools in the Manufacturing Industry: A Systematic Literature Review

by Miriam Rubí Ramírez-Zavala, Aída López-Guerrero, Luz del Consuelo Olivares-Fong, Karla Isabel Velázquez-Victorica and Marco Montoya-Alcaraz

Appl. Sci. 2024, 14(3), 1017; https://doi.org/10.3390/app14031017 - 25 Jan 2024

Viewed by 1020

Abstract

Currently, because of global competition, companies within the manufacturing industry must implement new organizational and production techniques to compete and stay active. The use of continuous improvement tools has become an opportunity and an effective strategy to achieve this. However, there is evidence that many continuous improvement programs are not successfully implemented due to a lack of information related to human management during the implementation of these projects in the manufacturing industry. In this context, the objective of this research is to identify factors influencing the dynamics and effectiveness of work teams for the implementation and development of continuous improvement tools in the manufacturing industry. A literature review was conducted using the PRISMA method, considering scientific articles related to the main factors that affect the dynamics and effectiveness of work teams in relation to the implementation of continuous improvement tools. From the review and evaluation of the studies, 60 factors were identified that affect the effectiveness of work teams in relation to continuous improvement within the manufacturing industry. Subsequently, a Pareto analysis was conducted on the critical success factors based on the number of occurrences in the analyzed literature, identifying 32 critical success factors considered vital for the implementation of continuous improvement projects. It is concluded that the factors arise from two common elements, the involvement of senior management and the company’s own culture. Therefore, to ensure the effectiveness of work teams and their continuous improvement projects, management must focus attention on this cultural change mainly by providing the necessary resources for the development of the project, establishing an adequate and effective reward system, and, most importantly, directing efforts towards staff empowerment. Full article

(This article belongs to the Special Issue Manufacturing Systems Operations and Engineering)

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