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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

e-mail: anna.burduk@pwr.edu.pl

ORCID:

Kamil Musiał

Artem Balashov

Andre Batako

Andrii Safonyk

e-mail:

ORCID:

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

Development of an automated system for electrochemical production of coagulant based on photocolorimetric analysis

Andrii Safonyk Ivanna Hrytsiuk Marko Klepach Maksym Mishchanchuk Andriy Khrystyuk

Journal of Water and Land Development | 2022 | No 52 | 75-80 | DOI: 10.24425/jwld.2021.139946

Keywords coagulant colour of water electrocoagulation process photocolorimetric method RGB total iron wastewater treatment

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Abstract

The article describes the development of a model problem for electrocoagulation treatment of industrial wastewater taking into account changes in voltage and current. The study included computer simulation of the change in the concentration of iron at the output of the electrocoagulator at variable current levels. The laboratory-scale plant was developed for the photocolorimetric analysis of the iron-containing coagulant. It consisted of a flowing opaque cell through which water is pumped with a constant flow and also the block for processing and storage of information. Such structure allows to reduce human participation in the measurement process and to ensure the continuity of measurement without any need for sampling of the tested material, as well as to reduce the measurement cost. During the processing of results, graphical dependences were determined between RGB-components of water colour and the corresponding concentration of total iron and Fe3+ in water.

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Bibliography

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Authors and Affiliations

Andrii Safonyk

e-mail:

ORCID:

Ivanna Hrytsiuk

e-mail:

ORCID:

Marko Klepach

e-mail:

ORCID:

Maksym Mishchanchuk

e-mail:

ORCID:

Andriy Khrystyuk

e-mail:

ORCID:

National University of Water and Environmental Engineering, Institute of Automatics, Cybernetics and Computer Engineering, Soborna St, 11, Rivne, Rivnens’ka oblast, 33028, Ukraine

Research of the process of biological wastewater treatment under conditions of uneven load of the treatment system

Andrii Safonyk Oleg Rogov Maksym Trokhymchuk Olena Prysiazhniuk Ihor Prysiazhniuk

Journal of Water and Land Development | 2024 | No 60 | 32-38 | DOI: 10.24425/jwld.2023.148456

Keywords activated sludge concentration biological wastewater treatment reactors mathematical model nonuniformity conditions organic contaminants

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Abstract

The main purpose of the article is to develop a multifactorial model for rapid assessment of the efficiency of biological wastewater treatment reactors. A mathematical model of the process of biological wastewater treatment has been developed based on: changes in the concentration of organic contaminants in the bioreactor over time, taking into account the uneven flow of wastewater to the treatment plant, the process of substrate entering the bioreactor (different amounts may enter at different times). The software implementation of the proposed algorithm for solving the corresponding model problem in Python is carried out. The results of computer experiments on the study of the efficiency of wastewater treatment in biological treatment reactors for different operating conditions of facilities are presented. In particular, such processes were considered with taking into account the unevenness of the load, because the maximum cleaning loads are in the morning and in the evening. The task was solved to simulate a real situation and show how cleaning takes place at the maximum load at a certain time of the day. The results obtained will be useful for calculations in the design of biological treatment facilities or in the reconstruction of existing bioreactors for their prospective operation under new operating conditions.

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Authors and Affiliations

Andrii Safonyk

e-mail:

ORCID:

Oleg Rogov

e-mail:

ORCID:

Maksym Trokhymchuk

e-mail:

ORCID:

Olena Prysiazhniuk

e-mail:

ORCID:

Ihor Prysiazhniuk

e-mail:

ORCID:

National University of Water and Environmental Engineering, Institute of Energy, Automatics and Water Management, Department of Automation, Electrical Engineering and Computer-integrated Technologies, 11 Soborna St, 33028, Rivne, Ukraine
Rivne State University of Humanities, Faculty of Mathematics and Informatics, 31 Plastova St, 33000, Rivne, Ukraine

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Technological model of water contact iron removal

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Solving scheduling problems with integrated online sustainability observation using heuristic optimization

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Authors and Affiliations

Development of an automated system for electrochemical production of coagulant based on photocolorimetric analysis

Abstract

Bibliography

Authors and Affiliations

Research of the process of biological wastewater treatment under conditions of uneven load of the treatment system

Abstract

Authors and Affiliations