Applied sciences

Bulletin of the Polish Academy of Sciences Technical Sciences

Content

Bulletin of the Polish Academy of Sciences Technical Sciences | 2022 | 70 | No. 6 (i.a. Special Section on Sustainability in production in the aspect of Industry 4.0)

Authors and Affiliations

Izabela Rojek
1
ORCID: ORCID
Ewa Dostatni
2
ORCID: ORCID
Lucjan Pawłowski
3
ORCID: ORCID
Katarzyna M. Węgrzyn-Wolska
4
ORCID: ORCID

  1. Institute of Computer Science, Kazimierz Wielki University, Chodkiewicza 30, 85-064 Bydgoszcz, Poland
  2. Faculty of Mechanical Engineering, Poznan University of Technology, Pl. M. Skłodowskiej-Curie 5, 60-965 Poznan, Poland
  3. Environmental Engineering Faculty, Lublin University of Technology, Nadbystrzycka 38D, 20-618 Lublin, Poland
  4. EFREI Paris Pantheon Assas University, 30-32 Avenue de la République, 94800, Villejuif, Paris, France
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Abstract

Reviewing the current state of knowledge on sustainable production, this paper opens the Special Section entitled “Sustainability in production in the context of Industry 4.0”. The fourth industrial revolution (Industry 4.0), which embodies a vision for the future system of manufacturing (production), focuses on how to use contemporary methods (i.e. computerization, robotization, automation, new business models, etc.) to integrate all manufacturing industry systems to achieve sustainability. The idea was introduced in 2011 by the German government to promote automation in manufacturing. This paper shows the state of the art in the application of modern methods in sustainable manufacturing in the context of Industry 4.0. The authors review the past and current state of knowledge in this regard and describe the known limitations, directions for further research, and industrial applications of the most promising ideas and technologies.
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Authors and Affiliations

Izabela Rojek
1
ORCID: ORCID
Ewa Dostatni
2
ORCID: ORCID
Dariusz Mikołajewski
1
ORCID: ORCID
Lucjan Pawłowski
3
ORCID: ORCID
Katarzyna M. Węgrzyn-Wolska
4
ORCID: ORCID

  1. Institute of Computer Science, Kazimierz Wielki University, 85-064 Bydgoszcz, Poland
  2. Faculty of Mechanical Engineering, Poznan University of Technology, 60-965 Poznan, Poland
  3. Environmental Engineering Faculty, Lublin University of Technology, 20-618 Lublin, Poland
  4. EFREI Paris Pantheon Assas University, 30-32 Avenue de la République, 94800, Villejuif, France
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Abstract

The paper deals with the issue of production scheduling for various types of employees in a large manufacturing company where the decision-making process was based on a human factor and the foreman’s know-how, which was error-prone. Modern production processes are getting more and more complex. A company that wants to be competitive on the market must consider many factors. Relying only on human factors is not efficient at all. The presented work has the objective of developing a new employee scheduling system that might be considered a particular case of the job shop problem from the set of the employee scheduling problems. The Neuro-Tabu Search algorithm and the data gathered by manufacturing sensors and process controls are used to remotely inspect machine condition and sustainability as well as for preventive maintenance. They were used to build production schedules. The construction of the Neuro-Tabu Search algorithm combines the Tabu Search algorithm, one of the most effective methods of constructing heuristic algorithms for scheduling problems, and a self-organizing neural network that further improves the prohibition mechanism of the Tabu Search algorithm. Additionally, in the paper, sustainability with the use of Industry 4.0 is considered. That would make it possible to minimize the costs of employees’ work and the cost of the overall production process. Solving the optimization problem offered by Neuro-Tabu Search algorithm and real-time data shows a new way of production management.
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Authors and Affiliations

Anna Burduk
1
ORCID: ORCID
Kamil Musiał
1
Artem Balashov
1
Andre Batako
2
Andrii Safonyk
3
ORCID: ORCID

  1. Wroclaw University of Science and Technology, Faculty of Mechanical Engineering, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland
  2. Liverpool John Moores University, Faculty of Engineering and Technology,70 Mount Pleasant Liverpool L3 3AF, UK
  3. National University of Water and Environmental Engineering, Department of Automation, Electrical Engineering and Computer-Integrated Technologies, Rivne 33000, Ukraine
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Abstract

Increasing the role of sustainable production benefits in transforming manufacturing towards the sustainable organisation. The proposed model integrates two dimensions, namely, the Sustainable Business Model (SBM) and the Enterprise Resource Planning (ERP) system, and defines it as the SBM-ERP. This paper focuses attention on determining SBM-ERP based on the literature research, Fuzzy Analytical Hierarchy Process (F-AHP) method and the results of the analysis on the experiences with the implementation of the ERP system in manufacturing. It was determined that the proprietary approach allows the company’s sustainable manufacturing activities to be organised and monitored, based on real-time data and information, as updated and included in the ERP system. We also emphasized the practicality of the proposed approach for managers of manufacturing companies with an implemented ERP system.
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Authors and Affiliations

Justyna Patalas-Maliszewska
1
ORCID: ORCID
Sławomir Kłos
1
Ewa Dostatni
2
ORCID: ORCID

  1. University of Zielona Góra, Szafrana 4, 65-516 Zielona Góra, Poland
  2. Poznan University of Technology, M. Skłodowskiej-Curie 5, 60-965 Poznań, Poland
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Abstract

The publication reflects the current situation concerning the possibilities of using augmented reality (AR) technology in the field of production technologies with the main intention of creating a tool to increase production efficiency. It is a set of individual steps that respond in a targeted manner to the possible need for assisted service intervention on a specific device. The publication chronologically describes the procedure required for the preparation and processing of a CAD model. For this preparatory process, the PTC software package is used which meets the requirements for each of the individual operations. The first step is the routine preparation of CAD models and assemblies. These are prepared based on real models located on the device, and their shape and dimensions correlate with the dimensions of the model on the device. The second phase is the creation and timing of the disassembly sequence. This will provide the model with complete vector data, which is then paired with the CAD models in AR. This phase is one of the most important. It determines the location of the model concerning its relative position on the device, provides information on the relocation of parts of the model after the sequence is started, and essentially serves as a template for the interactive part of the sequence. The last two phases are used to connect CAD models with vector data, determine their position for the position mark, and prepare the user interface displayed on the output device. The result of this procedure is a functional disassembly sequence, used for assisted service intervention of a worker in the spindle drive of the Emco Mill 55 device.
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Authors and Affiliations

Justyna Trojanowska
1
Jakub Kašcak
2
ORCID: ORCID
Jozef Husár
2
ORCID: ORCID
Lucia Knapcíková
3
ORCID: ORCID

  1. Poznan University of Technology, Faculty of Mechanical Engineering, Department of Production Engineering, Piotrowo Street 3, 61-138 Poznan, Poland
  2. Technical University of Košice, Faculty of Manufacturing Technologies with a seat in Prešov, Department of Computer Aided Manufacturing Technology, Šturova 31, 080 01 Prešov, Slovak Republic
  3. Technical University of Košice, Faculty of Manufacturing Technologies with a seat in Prešov, Department of Industrial Engineering and Informatics, Bayerova 1, 080 01 Prešov, Slovak Republic
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Abstract

Contemporary societies are strongly dependent existentially and economically on the supply of electricity, both in terms of supplying devices from the power grid, as well as the use of energy storage and constant voltage sources. Electrochemical batteries are commonly used as static energy storage. According to forecasts provided by the Environmental Protection Agency at the global and EU level, in 2025 lead-acid technologies will continue to dominate, with the simultaneous expansion of the lithium-ion battery market. The production, use and handling of used batteries are associated with a number of environmental and social challenges. The way batteries influence the environment is becoming more and more significant, not only in the phase of their use but also in the production phase. The article presents how to effectively reduce the environmental impact of the battery production process by stabilizing it. In the presented example, the proposed changes in the battery assembly process facilitated the minimization of material losses from 0.33% to 0.05%, contributing to the reduction of the negative impact on the environment.
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Authors and Affiliations

Agnieszka Kujawinska
1
ORCID: ORCID
Adam Hamrol
1
ORCID: ORCID
Krzysztof Brzozowski
1

  1. Poznan University of Technology, Plac Marii Skłodowskiej-Curie 5, 60-965 Poznań, Poland