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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

It is shown that in uncontrollable linear system = Ax + Bu it is possible to assign arbitrarily the eigenvalues of the closed-loop system with state feedbacks u = Kx, K ∈ ℜnm if rank [A B] = n. The design procedure consists in two steps. In the step 1 a nonsingular matrix  M ∈ ℜnm is chosen so that the pair (MA,MB) is controllable. In step 2 the feedback matrix K is chosen so that the closed-loop matrix Ac = A  − BK has the desired eigenvalues. The procedure is illustrated by simple example.

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Authors and Affiliations

Tadeusz Kaczorek
1
ORCID: ORCID

  1. Białystok University of Technology, ul. Wiejska 45A, 15-351 Białystok, Poland
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Abstract

Today’s fast-changing environment for construction companies requires rapid responses and adaptation of their projects. Despite the multitude of tools applied for project cost management in engineering and construction companies, there is a need to form comprehensive solutions. The purpose of the study is to form a methodological approach to project cost management in the field of engineering construction based on alternative models to diagnose the development, assessment and selection of functional areas and content of cost management in the construction project, which allows one to increase adaptability and flexibility in the process of its implementation. The basis of research methodology is modeling, which allows one to adjust the economic and financial flows based on three S-curves, one for each component of the total cost of the work: direct costs, indirect costs and reserves. These curves include the direct cost curve for the main purchasing packages as well. This brings financial flows closer to reality because it is possible to adjust the S-curves according to the behavior of each subsystem. The contribution of the study is the proposed approach of integrating concepts related to the coordination and development of project design and production management (lean construction), forming a “3D model of management”, in a broad and comprehensive management system. It assumes a comprehensive and complete way to manage civil engineering projects. The proposed methodological approach can make a significant contribution to the preparation of forecasts and estimates by planners and controllers in the context of construction projects.
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Authors and Affiliations

Yang Yang
1 2
ORCID: ORCID
Wanxin Xiao
2 3
Margarita Lyshenko
2
Yang Zhang
2 4

  1. Department of Construction Engineering, Xinxiang Vocational and Technical College, Xinxiang, China
  2. Faculty of Economics and Management, Sumy National Agrarian University, Sumy, Ukraine
  3. Funding Center, Education Bureau of Hongqi District, Xinxiang City, China
  4. Personnel Department, Henan Expressway Monitoring Toll Communication Network Service Co. Ltd., Zhengzhou, China
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Bibliography

  1.  J. Kiciński, “Rotor dynamics ― still open questions,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 69, no. 6, p. e139791, 2021, doi: 10.24425/ bpasts.2021.139791.
  2.  S. Nitzschke, Ch. Ziese, and E. Woschke, “Analysis of dynamical behaviour of full-floating disk thrust bearings,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 69, no. 6, p. e139001, 2021, doi: 10.24425/bpasts.2021.139001.
  3.  J. Zapoměl and P. Ferfecki, “Vibration control of rotors mounted in hydrodynamic bearings lubricated with magnetically sensitive oil by changing their load capacity,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 69, no. 6, p. e137988, 2021, doi: 10.24425/bpasts.2021.137988.
  4.  P. Kurnyta-Mazurek, T. Szolc, M. Henzel, and K. Falkowski, “Control system with a non-parametric predictive algorithm for a high- speed rotating machine with magnetic bearings,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 69, no. 6, p. e137988, 2021, doi: 10.24425/ bpasts.2021.138998.
  5.  J. Jungblut, Ch. Fischer, and S. Rinderknecht, “Active vibration control of a gyroscopic rotor using experimental modal analysis,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 69, no. 6, p. e138090, 2021, doi: 10.24425/bpasts.2021.138090.
  6.  T. Drapatow, O. Alber, and E. Woschke, “Consideration of fluid inertia and cavitation for transient simulations of squeeze film damped rotor systems,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 69, no. 6, p. e139201, 2021, doi: 10.24425/bpasts.2021.139201.
  7.  B. Schüßler, T. Hopf, and S. Rinderknecht, “Simulative investigation of rubber damper elements for planetary touch-down bearings,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 69, no. 6, p. e139615, 2021, doi: 10.24425/bpasts.2021.139615.
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  9.  M. Klanner, M. Prem, and K. Ellermann, “Quasi-analytical solutions for the whirling motion of multi-stepped rotors with arbitrarily distributed mass unbalance running in anisotropic linear bearings,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 69, no. 6, p. e138999, 2021, doi: 10.24425/bpasts.2021.138999.
  10.  S. Bastakoti et. al., “Model-based residual unbalance identification for rotating machines,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 69, no. 6, p. e139790, 2021, doi: 10.24425/bpasts.2021.139790.
  11.  T. Szolc and R. Konowrocki, “Research on stability and sensitivity of the rotating machines with overhung rotors to lateral vibrations,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 69, no. 6, p. e137987, 2021, doi: 10.24425/bpasts.2021.137987.
  12.  Ch. Prasad, P. Snabl, and L. Pešek, “A meshless method for subsonic stall flutter analysis of turbomachinery 3D blade cascade,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 69, no. 6, p. e139000, 2021, doi: 10.24425/bpasts.2021.139000.
  13.  F. Gaulard, J. Schmied, and A. Fuchs, “State-of-the-art rotordynamic analyses of pumps”, Bull. Pol. Acad. Sci. Tech. Sci., vol. 69, no. 6, p. e139316, 2021, doi: 10.24425/bpasts.2021.139316.
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Authors and Affiliations

Horst Ecker
1
Rainer Nordmann
2
Tadeusz Burczyński
3
ORCID: ORCID
Tomasz Szolc
3
ORCID: ORCID

  1. Vienna University of Technology, Institute of Mechanics and Mechatronics, Getrieidemarkt 9, 1060 Vienna Austria
  2. Technical University of Darmstadt, Institute for Mechatronic Systems, Otto-Berndt Strasse 2, 64287 Darmstadt, Germany
  3. Institute of Fundamental Technological Research, Polish Academy of Sciences, ul. Pawińskiego 5B, 02-106 Warsaw, Poland

Authors and Affiliations

Tomasz Szolc
1
ORCID: ORCID

  1. Institute of Fundamental Technological Research, Polish Academy of Sciences, ul. Pawi´nskiego 5B, 02-106 Warsaw, Poland
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Abstract

The increasing demand for high-speed rotor-bearing systems results in the application of complex materials, which allow for a better control of the vibrational characteristics. This paper presents a model of a rotor including viscoelastic materials and valid up to high spin speeds. Regarding the destabilization of rotor-bearing systems, two main effects have to be investigated, which are strongly related to the associated internal and external damping of the rotor. For this reason, the internal material damping is modeled using fractional time derivatives, which can represent a large class of viscoelastic materials over a wide frequency range. In this paper, the Numerical Assembly Technique (NAT) is extended for the rotating viscoelastic Timoshenko beam with fractional derivative damping. An efficient and accurate simulation of the proposed rotor-bearing model is achieved. Several numerical examples are presented and the influence of internal damping on the rotor-bearing system is investigated and compared to classical damping models.
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Authors and Affiliations

Gregor Überwimmer
1
ORCID: ORCID
Georg Quinz
1
Michael Klanner
1
ORCID: ORCID
Katrin Ellermann
1

  1. Graz University of Technology, Institute of Mechanics, Kopernikusgasse 24/IV, 8010 Graz, Austria
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Abstract

Despite many years of development in the field of rotor dynamics, many issues still need to be resolved. This is due to the fact that turbomachines, even those with low output power, have a very complex design. The author of this article would like to signal these issues in the form of several questions, to which there are no precise answers. The questions are as follows: How can we build a coherent dynamic model of a turbomachine whose some subsystems have non-linear characteristics? How can we consider the so-called prehistory in our analysis, namely, the relation between future dynamic states and previous ones? Is heuristic modelling the future of rotor dynamics? What phenomena may occur when the stability limit of the system is exceeded? The attempt to find answers to these questions constitutes the subject of this article. There are obviously more similar questions, which encourage researchers from all over the world to further their research.
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Bibliography

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  12.  C. Ziese, C. Daniel, E. Woschke, and H. Mostertz, “Hochlaufsimulation eines semi-floating gelagerten ATL-Rotors mit schwimmender Axiallagerscheibe,” in 14. Magdeburger Maschinenbautage (24.–25.09.2019), Sep. 2019, pp. 105–112.
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  14.  S. Nitzschke, E. Woschke, D. Schmicker, and J. Strackeljan, “Regularised cavitation algorithm for use in transient rotordynamic analysis,” Int. J. Mech. Sci., vol. 113, pp. 175–183, 2016.
  15.  S. Nitzschke, “Instationäres Verhalten schwimmbuchsengelagerter Rotoren unter Berücksichtigung masseerhaltender Kavitation,” Ph.D. thesis, Otto-von-Guericke Universität Magdeburg, 2016.
  16.  C. Daniel, “Simulation von gleit-und wälzgelagerten Systemen auf Basis eines Mehrkörpersystems für rotordynamische Anwendungen,” Ph.D. thesis, Otto-von-Guericke Universität Magdeburg, 2013.
  17.  C. Ziese, E. Woschke, and S. Nitzschke, “Tragdruck- und Schmierstoffverteilung von Axialgleitlagern unter Berücksichtigung von mas- seerhaltender Kavitation und Zentrifugalkraft,” in 13. Magdeburger Maschinenbautage, 2017, pp. 312–323.
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  19.  “MAN turbochargers TCA series floating disk thrust bearing,” https://turbocharger.man-es.com/docs/default-source/ shopwaredocuments/ tca-turbochargerf451d068cde04720bdc9b 8e95b7c0f8e.pdf, accessed: 2020‒10‒09.
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  21.  C. Irmscher, S. Nitzschke, and E. Woschke, “Transient thermohydrodynamic analysis of a laval rotor supported by journal bearings with respect to calculation times,” in SIRM 2019 – 13th International Conference on Dynamics of Rotating Machines, 2019, pp. Paper–ID SIRM2019–25.
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Authors and Affiliations

Jan Kiciński
1

  1. Institute of Fluid-Flow Machinery, Polish Academy of Sciences, ul. Fiszera 14, Gdańsk 80-231, Poland
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Abstract

The connection of renewable energy sources with significant nominal power (in the order of MW) to the medium-voltage distribution grid affects the operating conditions of that grid. Due to the increasing number of installed renewable energy sources and the limited transmission capacity of medium-voltage networks, the cooperation of these energy sources is becoming increasingly important. This article presents the results of a six-year study on a 2 MW wind power plant and a 1 MW photovoltaic power plant in the province of Warmia and Mazury, which are located a few kilometers away from each other. In this study, active energy, currents, voltages as well as active, reactive, and apparent power and higher harmonics of currents and voltages were measured. The obtained results show the parameters determining the power quality at different load levels. Long-term analysis of the operation of these power plants in terms of the generated electricity and active power transmitted to the power grid facilitated estimating the repeatability of active energy production and the active power generated in individual months of the year and times of day by a wind power plant and a photovoltaic power plant. It also allowed us to assess the options of cooperation between these energy sources. It is important, not only from a technical but also from an economic point of view, to determine the nominal power of individual power plants connected to the same connection point. Therefore, the cooperation of two such power plants with the same nominal power of 2 MW was analyzed and the economic losses caused by a reduction in electricity production resulting from connection capacity were estimated.
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Authors and Affiliations

Andrzej Lange
1
ORCID: ORCID
Marian Pasko
2
Dariusz Grabowski
2
ORCID: ORCID

  1. Department of Electrical and Power Engineering, Electronics and Automation, University of Warmia and Mazury, ul. M. Oczapowskiego 11, 10-719 Olsztyn, Poland
  2. Department of Electrical Engineering and Computer Science, Silesian University of Technology, ul. Akademicka 10, 44-100 Gliwice, Poland
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Abstract

To achieve acceptable dynamical behavior for large rotating machines operating at subcritical speeds, the balancing quality check at the planned service speed in the installation location is often demanded for machines such as turbo-generators or high-speed machines. While most studies investigate the balancing quality at critical speeds, only a few studies have investigated this aspect using numerical methods at operational speed. This study proposes a novel, model-based method for inversely estimating initial residual unbalance in one and two planes after initial grade balancing for large flexible rotors operating at the service speeds. The method utilizes vibration measurements from two planes in any single direction, combined with a finite element model of the rotor to inversely determine the residual unbalance in one and two planes. This method can be practically used to determine the initial and residual unbalance after the balancing process, and further it can be used for condition-based monitoring of the unbalance state of the rotor.
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Authors and Affiliations

Satish Bastakoti
1
Tuhin Choudhury
1
ORCID: ORCID
Risto Viitala
2
ORCID: ORCID
Emil Kurvinen
1
ORCID: ORCID
Jussi Sopanen
1
ORCID: ORCID

  1. Department of Mechanical Engineering, School of Energy Systems, Lappeenranta-Lahti University of Technology LUT, 53850 Lappeenranta, Finland
  2. Department of Mechanical Engineering, School of Engineering, Aalto University, 00076 Espoo, Finland
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Abstract

In recent years, a lot of attention has been paid to deep learning methods in the context of vision-based construction site safety systems. However, there is still more to be done to establish the relationship between supervised construction workers and their essential personal protective equipment, like hard hats. A deep learning method combining object detection, head center localization, and simple rule-based reasoning is proposed in this article. In tests, this solution surpassed the previous methods based on the relative bounding box position of different instances and direct detection of hard hat wearers and non-wearers. Achieving MS COCO style overall AP of 67.5% compared to 66.4% and 66.3% achieved by the approaches mentioned above, with class-specific AP for hard hat non-wearers of 64.1% compared to 63.0% and 60.3%. The results show that using deep learning methods with a humanly interpretable rule-based algorithm is better suited for detecting hard hat non-wearers.
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Authors and Affiliations

Bartosz Wójcik
1
ORCID: ORCID
Mateusz Żarski
1
ORCID: ORCID
Kamil Książek
1
Jarosław A. Miszczak
1
Mirosław J. Skibniewski
1 2

  1. Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, 44-100 Gliwice, Poland
  2. A. James Clark School of Engineering, University of Maryland, College Park, MD 20742-3021, USA
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Abstract

In the domain of affective computing different emotional expressions play an important role. To convey the emotional state of human emotions, facial expressions or visual cues are used as an important and primary cue. The facial expressions convey humans affective state more convincingly than any other cues. With the advancement in the deep learning techniques, the convolutional neural network (CNN) can be used to automatically extract the features from the visual cues; however variable sized and biased datasets are a vital challenge to be dealt with as far as implementation of deep models is concerned. Also, the dataset used for training the model plays a significant role in the retrieved results. In this paper, we have proposed a multi-model hybrid ensemble weighted adaptive approach with decision level fusion for personalized affect recognition based on the visual cues. We have used a CNN and pre-trained ResNet-50 model for the transfer learning. VGGFace model’s weights are used to initialize weights of ResNet50 for fine-tuning the model. The proposed system shows significant improvement in test accuracy in affective state recognition compared to the singleton CNN model developed from scratch or transfer learned model. The proposed methodology is validated on The Karolinska Directed Emotional Faces (KDEF) dataset with 77.85% accuracy. The obtained results are promising compared to the existing state of the art methods.
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Authors and Affiliations

Nagesh Jadhav
1
Rekha Sugandhi
1

  1. MIT ADT University, Pune, Maharashtra, 412201, India
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Abstract

A gyroscopic rotor exposed to unbalance and internal damping is controlled with an active piezoelectrical bearing in this paper. The used rotor test-rig is modelled using an FEM approach. The present gyroscopic effects are then used to derive a control strategy which only requires a single piezo actuator, while regular active piezoelectric bearings require two. Using only one actuator generates an excitation which contains an equal amount of forward and backward whirl vibrations. Both parts are differently amplified by the rotor system due to gyroscopic effects, which cause speed-dependent different eigenfrequencies for forward and backward whirl resonances. This facilitates eliminating resonances and stabilize the rotor system with only one actuator but requires two sensors. The control approach is validated with experiments on a rotor test-rig and compared to a control which uses both actuators.
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Authors and Affiliations

Jens Jungblut
1
ORCID: ORCID
Daniel Franz
1
Christian Fischer
1
ORCID: ORCID
Stephan Rinderknecht
1
ORCID: ORCID

  1. Institute for Mechatronic Systems, Technical University Darmstadt, 64287, Germany
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Abstract

Variation in powertrain parameters caused by dimensioning, manufacturing and assembly inaccuracies may prevent model-based virtual sensors from representing physical powertrains accurately. Data-driven virtual sensors employing machine learning models offer a solution for including variations in the powertrain parameters. These variations can be efficiently included in the training of the virtual sensor through simulation. The trained model can then be theoretically applied to real systems via transfer learning, allowing a data-driven virtual sensor to be trained without the notoriously labour-intensive step of gathering data from a real powertrain. This research presents a training procedure for a data-driven virtual sensor. The virtual sensor was made for a powertrain consisting of multiple shafts, couplings and gears. The training procedure generalizes the virtual sensor for a single powertrain with variations corresponding to the aforementioned inaccuracies. The training procedure includes parameter randomization and random excitation. That is, the data-driven virtual sensor was trained using data from multiple different powertrain instances, representing roughly the same powertrain. The virtual sensor trained using multiple instances of a simulated powertrain was accurate at estimating rotating speeds and torque of the loaded shaft of multiple simulated test powertrains. The estimates were computed from the rotating speeds and torque at the motor shaft of the powertrain. This research gives excellent grounds for further studies towards simulation-to-reality transfer learning, in which a virtual sensor is trained with simulated data and then applied to a real system.
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Authors and Affiliations

Aku Karhinen
1
ORCID: ORCID
Aleksanteri Hamalainen
1
Mikael Manngard
2
Jesse Miettinen
1
Raine Viitala
1

  1. Department of Mechanical Engineering, Aalto University, 02150, Espoo, Finland
  2. Novia University of Applied Sciences, Juhana Herttuan puistokatu 21, 20100 Turku, Finland
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Abstract

In the present paper, we analyze the model of a single–server queueing system with limited number of waiting positions, random volume customers and unlimited sectorized memory buffer. In such a system, the arriving customer is additionally characterized by a non– negative random volume vector whose indications usually represent the portions of unchanged information of a different type that are located in sectors of unlimited memory space dedicated for them during customer presence in the system. When the server ends the service of a customer, information immediately leaves the buffer, releasing resources of the proper sectors. We assume that in the investigated model, the service time of a customer is dependent on his volume vector characteristics. For such defined model, we obtain a general formula for steady–state joint distribution function of the total volume vector in terms of Laplace-Stieltjes transforms. We also present practical results for some special cases of the model together with formulae for steady–state initial moments of the analyzed random vector, in cases where the memory buffer is composed of at most two sectors. Some numerical computations illustrating obtained theoretical results are attached as well.
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Authors and Affiliations

Marcin Ziółkowski
1
ORCID: ORCID
Oleg Tikhonenko
2
ORCID: ORCID

  1. Institute of Information Technology, Warsaw University of Life Sciences – SGGW, Poland
  2. Institute of Computer Science, Cardinal Stefan Wyszynski University in Warsaw, Poland
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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

Authors and Affiliations

Zhiyong Yang
1 2
ORCID: ORCID
Long Wang
2
Yanjun Yu
2
Zhenping Mou
2
Minghui Ou
1 2

  1. Chongqing Vocational Institute of Engineering, Chongqing 402260, PR China
  2. College of Computer and Information Science, Chongqing Normal University, Chongqing 401331, PR China
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Abstract

The study is devoted to the co-design concept which is not widely studied in the manufacturing industry area. The concept is just practiced but not theorized and not investigated enough, although it greatly deserves it because of its perspectives and advantages potential in the technology changes era. This study aims to present an investigation of literature views on co-design in manufacturing operations, with the comparison to service literature where it is widely discussed; the study also aims at in-depth investigations of co-design occurrences in two industrial cases of product development to understand their nature and circumstances. In addition, the influence of Industry 4.0 technologies and their coexistence with the concept of sustainability will also be strongly taken into consideration in the empirical part of this study. The process of the individualized production of the industrial line for animal food packing and cardboard packaging production has been studied according to case study methodology. The study demonstrates that co-design could contribute to bettering the process of new product development and achieving products more accurate for the final users’ requirements. It goes hand in hand with one of the core ideas of sustainability, which is to have long-lasting products, exploited by the customer with a high level of satisfaction for a longer time. The study implies that the technologies of Industry 4.0 could support wider and more effective co-design exploitation by manufacturing entities.
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Authors and Affiliations

Elżbieta Krawczyk-Dembicka
1
ORCID: ORCID
Wiesław Urban
1
ORCID: ORCID
Krzysztof Łukaszewicz
1
ORCID: ORCID

  1. Bialystok University of Technology, Wiejska 45A Street, 15-351 Białystok, Poland

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

In 2020, an international project on residential lighting started and was implemented in four countries (Poland, Sweden, UK and Turkey). This article presents the results of a survey carried out in Poland, in the winter term between November 2020 and January 2021. A total of 125 Polish residents (59 women, 65 men, one person did not wish to specify gender) participated in the survey. A variety of data was collected on the respondents and their assessments as well as on their satisfaction with day- and artificial lighting in residential living spaces. The results from questionnaires were analyzed with STATISTICA 13.3. Descriptive statistics and Spearman rank order correlations were adopted to identify the light-related aspects, lighting patterns, and respondents’ perception of day- and artificial lighting conditions in living areas. The results revealed that satisfaction with daylighting in the living area, both in summer and winter, was significantly correlated with daylighting level, daylighting uniformity, sunlight exposure and view-out. The results also revealed that satisfaction with artificial lighting was significantly correlated with artificial lighting level, artificial lighting uniformity and color rendering. The results provide valuable information on lighting and factors that influence the luminous environment in residential living spaces.
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Authors and Affiliations

Piotr Pracki
1
ORCID: ORCID
Rengin Aslanoglu
2
Jan K. Kazak
2
ORCID: ORCID
Begüm Ulusoy
3
Sepideh Yekanialibeiglou
4

  1. Warsaw University of Technology, Electrical Power Engineering Institute, Division of Lighting Technology, Warsaw, Poland
  2. Wrocław University of Environmental and Life Sciences, Institute of Spatial Management, Wrocław, Poland
  3. University of Lincoln, Interior Architecture and Design, School of Design, Lincoln, UK
  4. Bilkent University, Department of Interior Architecture and Environmental Design, Faculty of Art, Design and Architecture, Ankara, Turkey
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Abstract

Abstract. The paper introduces a neuromorphic computational approach for breathing rate monitoring of a single person observed using a Frequency-Modulated Continuous Wave radar. The architecture, aimed at implementation in analog hardware to ensure high energy efficiency and to provide system operation longevity, comprises two main functional modules. The first one is a data preprocessing unit aimed at the extraction of information relevant to the analysis objective, whereas the second one is a pre-trained recurrent neural regressor, which analyzes sequences of incoming samples and estimates the breathing rate. To ensure compatibility with neural processing and to achieve simplicity of underlying resources, several solutions were proposed for the data preprocessing module, which provides range-wise space segmentation, selection of a bin of interest (comprising the dominant motion activity), and delivery of data to regressor inputs. To implement these functions, we introduce an appropriate chirp frequency modulation scheme, apply a neuromorphic filtering procedure and use a Winner-Takes-All network for extracting information from the bin of interest. The architecture has been experimentally verified using a dataset of indoor recordings supplied with reference data from a Zephyr BioHarness device. We show that the proposed architecture is capable of making correct breathing rate estimates while being feasible for analog implementation. The mean squared regression error with respect to the Zephyr-produced reference values is approximately 3.3 breaths per minute (with a deviation of ±0:27 in the 95% confidence interval) and the estimates are produced by a recurrent, GRU-based neural regressor, with a total of only 147 parameters.
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Authors and Affiliations

Krzysztof Ślot
1
ORCID: ORCID
Piotr Łuczak
1
ORCID: ORCID
Sławomir Hausman
2
ORCID: ORCID

  1. Institute of Applied Computer Science, Lodz University of Technology
  2. Institute of Electronics, Lodz University of Technology
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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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