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Innovative Insights into Sustainable Manufacturing Technologies
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Innovative Insights into Sustainable Manufacturing Technologies

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Green Sustainable Science and Technology".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 8882

Special Issue Editors

Prof. Dr. Justyna Patalas-Maliszewska

E-Mail Website
Guest Editor
Institute of Mechanical Engineering, University of Zielona Góra, Zielona Góra, Poland
Interests: additive manufacturing technology; manufacturing systems; serial production line
Special Issues, Collections and Topics in MDPI journals
Dr. Matthias Rehm

E-Mail Website
Guest Editor
Technische Universitaet Chemnitz, Institute for Machine Tools and Production Processes, Professorship of Production Systems und Processes, Reichenhainer Str. 70, 09112 Chemnitz, Germany
Interests: manufacturing systems; robotics; machine learning; production systems; sustainability; digitalization

Special Issue Information

Dear Colleagues,

Due to changes in the working environment, it is necessary to undertake activities that will encourage manufacturing enterprises to conduct processes consistent with the idea of sustainable development, especially in the context in the in cases of the unexpected occurrence of the crisis.

This Special Issue aims to seek high-quality papers from academics and industry-related researchers in the areas of sustainability development in manufacturing enterprises and self-healing companies.

The scope includes (but is not limited to) the following

  • Modeling and implementing interoperability in the cyber-physical manufacturing systems;
  • Collaborative and sustainable business models for production systems;
  • Digital twins for decision-making in Industry 4.0 era;
  • Data, information, and knowledge management in production;
  • Computational intelligence methods and application;
  • Manufacturing systems capacity balancing;
  • Intelligent web mining and applications;
  • Sustainable development of manufacturing enterprises;
  • Sustainability assessment in production. 
  • Self-organizing systems and emergent behavior.

Prof. Dr. Justyna Patalas-Maliszewska
Dr. Matthias Rehm
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

  • sustainability
  • self-organizing systems
  • production
  • manufacturing systems
  • computational intelligence methods

Published Papers (5 papers)

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Research

14 pages, 1323 KiB  
Article
A New Approach to Production Process Capability Assessment for Non-Normal Data
by Anna Borucka, Edward Kozłowski, Katarzyna Antosz and Rafał Parczewski
Appl. Sci. 2023, 13(11), 6721; https://doi.org/10.3390/app13116721 - 31 May 2023
Cited by 8 | Viewed by 1290
Abstract
The process quality capability indicators Cp and Cpk are widely used to measure process capability. Traditional metric estimation methods require process data to be explicit and normally distributed. Often, the actual data obtained from the production process regarding the measurements of [...] Read more.
The process quality capability indicators Cp and Cpk are widely used to measure process capability. Traditional metric estimation methods require process data to be explicit and normally distributed. Often, the actual data obtained from the production process regarding the measurements of quality features are incomplete and do not have a normal distribution. This means that the use of traditional methods of estimating Cp and Cpk indicators may lead to erroneous results. Moreover, in the case of qualitative characteristics where a two-sided tolerance limit is specified, it should not be very difficult. The problem arises when the data do not meet the postulate of normality distribution and/or a one-sided tolerance limit has been defined for the process. Therefore, the purpose of this article was to present the possibility of using the Six Sigma method in relation to numerical data that do not meet the postulate of normality of distribution. The paper proposes a power transformation method using multiple-criteria decision analysis (MCDA) for the asymmetry coefficient and kurtosis coefficient. The task was to minimize the Jarque–Bera statistic, which we used to test the normality of the distribution. An appropriate methodology was developed for this purpose and presented on an empirical example. In addition, for the variable after transformation, for which the one-sided tolerance limit was determined, selected process quality evaluation indices were calculated. Full article
(This article belongs to the Special Issue Innovative Insights into Sustainable Manufacturing Technologies)
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16 pages, 5158 KiB  
Article
Digital Standardization of Lean Manufacturing Tools According to Industry 4.0 Concept
by Daniel Medyński, Piotr Bonarski, Piotr Motyka, Adam Wysoczański, Renata Gnitecka, Krzysztof Kolbusz, Magdalena Dąbrowska, Anna Burduk, Zdzisław Pawelec and José Machado
Appl. Sci. 2023, 13(10), 6259; https://doi.org/10.3390/app13106259 - 20 May 2023
Cited by 9 | Viewed by 3606
Abstract
Standardization is a key element in the effective use of lean manufacturing methodologies and tools for achieving process sustainability. Their combination is conducive to eliminating waste and improving the efficiency of production processes and guarantees the company that employees use the most efficient [...] Read more.
Standardization is a key element in the effective use of lean manufacturing methodologies and tools for achieving process sustainability. Their combination is conducive to eliminating waste and improving the efficiency of production processes and guarantees the company that employees use the most efficient tools and do not waste time on unnecessary activities. These activities can be further improved by using digital solutions, in accordance with the concept of Industry 4.0. Therefore, the authors have developed the e-Lean system, whose task is to digitize selected lean manufacturing tools. The subject of this work is analysis of the functionality and effectiveness of the essential part of the e-Lean system in the form of specialized TPM (Total Productive Maintenance) software as an application. During implementation in a construction production company, the TPM application was tested by lean manufacturing and maintenance specialists. The research consisted of assessing the functionality and efficiency of processes in relation to conventional TPM solutions. Additional functionalities of the e-Lean system have been confirmed, such as systemic approval of machinery inspection, which requires passing all necessary steps at individual inspection points, direct access for supervisors to the results of inspection activities and their status, direct and easy access to photographic documentation of machines added during inspection both in optimization of working time and its course (e.g., the optimal number of steps taken by the employee during the inspection), as well as an efficient system of motivating employees (collecting points). The improvement in the effectiveness of processes was determined by measuring the control times for three control points (polymerization furnace, packing area, and defibering machines). The average control time was reduced from 16,200 to 13,923 s. Thus, thanks to the use of the application, it was found that the efficiency of using the TPM tool was increased by approx. 15% compared to previously used non-digital solutions. Full article
(This article belongs to the Special Issue Innovative Insights into Sustainable Manufacturing Technologies)
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22 pages, 7061 KiB  
Article
Implementation of Technological Innovation in a Manufacturing Company
by Dariusz Plinta and Katarzyna Radwan
Appl. Sci. 2023, 13(10), 6068; https://doi.org/10.3390/app13106068 - 15 May 2023
Cited by 4 | Viewed by 1542
Abstract
The dynamics of change in the market force organizations to be ready to take up challenges. The innovation of enterprises is a determinant of their development. Implementation of technological innovation involves a large number of important strategic decisions. This publication discusses the issue [...] Read more.
The dynamics of change in the market force organizations to be ready to take up challenges. The innovation of enterprises is a determinant of their development. Implementation of technological innovation involves a large number of important strategic decisions. This publication discusses the issue of implementing technological innovation in a manufacturing enterprise. The subject of the manuscript includes the creation of a comprehensive methodology of proceedings. This, in turn, includes issues that determine the effectiveness of the management process of an innovative project in a small-batch production enterprise, whose specificity requires the proposal of a methodology for creating a concept of an innovative product under the conditions of limited project resources. The presented approach provides support for the creation of an innovation concept and its proper management. The proposed methodology allows for the evaluation and selection of optimal solution variants and the development of the technical preparation of new production in terms of construction, technology, and organization. The implementation of improvements presented in the article results in an increase in the company’s ability to successfully implement technological innovations, whose implementation is an essential step to increase the value and growth of the company. Full article
(This article belongs to the Special Issue Innovative Insights into Sustainable Manufacturing Technologies)
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15 pages, 5254 KiB  
Article
Application of Carbide Cutting Inserts as Indenters for Surface Plastic Deformation
by Kostiantyn Svirzhevskyi, Oleg Zabolotnyi, José Machado, Anatolii Tkachuk and Inna Boiarska
Appl. Sci. 2023, 13(6), 3741; https://doi.org/10.3390/app13063741 - 15 Mar 2023
Viewed by 732
Abstract
Surface plastic deformation has a high productivity and allows for products with unique operational properties, namely: a high quality of the surface layer, increased support stability of the profile of the treated surface, a strengthened surface layer, and the formation of residual compressive [...] Read more.
Surface plastic deformation has a high productivity and allows for products with unique operational properties, namely: a high quality of the surface layer, increased support stability of the profile of the treated surface, a strengthened surface layer, and the formation of residual compressive stresses in the surface layer. The essence of smoothing is that a tool with regulated geometric characteristics of the deforming element (indenter) under specific technological processing modes penetrates the surface layer of the workpiece and slides, deforming the microgeometry formed as a result of previous technological operations. The article considers the option of using carbide-cutting plates as deforming elements. For this, a morphological table of methods of spatial orientation of the indenter-plate has been developed, which includes 27 possible options for its installation. The algorithm for calculating the geometry of the contact zone of the indenter and the workpiece is presented. The contact interaction of the indenter plate and the workpiece was studied. On the basis of morphological analysis and conducted applied studies, rational installation angles of the deforming element were determined. The interdependence of the properties of the surface layer on the technological modes of processing was defined. Full article
(This article belongs to the Special Issue Innovative Insights into Sustainable Manufacturing Technologies)
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23 pages, 6224 KiB  
Article
Automatic Configuration of an Order as an Integral Part of a Cyber-Physical System in a Manufacturing Operating According to Mass-Customisation Strategy
by Adam Dudek, Justyna Patalas-Maliszewska and Katarzyna Kowalczewska
Appl. Sci. 2023, 13(4), 2499; https://doi.org/10.3390/app13042499 - 15 Feb 2023
Cited by 2 | Viewed by 1290
Abstract
The contemporary consumer market determines the use of mass customisation by manufacturers. Therefore, from the point of view of Industry 4.0 (I4.0), concept data and communications and analytics are relevant to the implementation of the mass-customisation strategy. The problem involves at least three [...] Read more.
The contemporary consumer market determines the use of mass customisation by manufacturers. Therefore, from the point of view of Industry 4.0 (I4.0), concept data and communications and analytics are relevant to the implementation of the mass-customisation strategy. The problem involves at least three subjects: how to connect the currently available information system within an enterprise with new I4.0 technologies, how new information solutions can support the verification of the feasibility of tailoring an order to the needs of the customer, and, finally, how to model a knowledge base for a cyber-physical system containing a formal record of the knowledge acquired regarding customer preferences. Therefore, in this paper, we developed a new algorithm that will enable, on one hand, the collection and recording of customer preferences, and, on the other hand, the integration of those data and information that are available within the Enterprise Resource Planning (ERP) system. The main contribution of this work is the use of specialist knowledge and data from ERP regarding production capabilities implemented in a manufacturing enterprise in order to model the scenario of generating possible orders for a client, and finally applying the new solution for the operation of manufacturing according to mass-customisation strategy in a real company that manufactures mattresses. Full article
(This article belongs to the Special Issue Innovative Insights into Sustainable Manufacturing Technologies)
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