Management and Production Engineering Review

Content

Management and Production Engineering Review | 2024 | Vol. 15 | No 2

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Abstract

Increasing productivity is currently the biggest challenge for manufacturing industries in terms of implementation of Industry 4.0 technologies. This article deals with the widely used methods of measuring of overall equipment effectiveness that in combination with statistical approaches confirms the growth in productivity and seems to be simple and novel technique particularly in the field of printing industries. The aim of the present study is to determine quantitatively the productivity, effectiveness, utilization, risk factor and sigma level of some machines in a printing company that are validated by the selected statistical approaches such as six sigma and analysis of variance techniques. Machine operating time, machine downtime and machine idle-time of different machines in a printing house are considered as main variable parameters for analysis of variance and six-sigma analysis. The results show that the proposed methodology can be a promising development towards improvement of productivity parameters of machines in the printing house.
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Authors and Affiliations

Avijit KAR
ORCID: ORCID
Arun Kiran PAL
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Abstract

This study investigates the controversial practice of planned obsolescence in the electronics industry. The study explores how frequent new model releases affect smartphone pricing and consumer loyalty, along with factors influencing smartphone upgrades such as perceived necessity, technological advancements, and pricing incentives. The research aims to understand consumer perspectives on planned obsolescence using Venkatesh’s decision-making theory in dynamic purchase conditions. Key questions include defining planned obsolescence, dissecting the innovation and consumer behavior model, and examining how these concepts relate to purchasing the next smartphone version. The literature review covers 23 planned obsolescence references (1993-2022) and 21 innovation adoption references (1943-2021). It touches on various aspects of planned obsolescence. The study advocates for consumer awareness, sustainable practices by producers, and a balanced business model that serves all interests while protecting the environment. A legal framework supporting a circular economy is highlighted as essential in combating planned obsolescence.
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Authors and Affiliations

INDRAWATI
Tri WIDARMANTI
Gadang RAMANTOKO
Subhash PILLAI
Indira RACHMAWATI
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Abstract

Friction stir welding (FSW) is gaining traction as a preferred technique due to its potential to reduce heat input and enhance the mechanical properties of welded joints. However, the path to commercializing FSW for flange joints is not without challenges. Two primary obstacles are the complexity of the welding path and the intricate design requirements for the fixtures. These factors contribute to the difficulty in determining the ideal weld settings and process parameters, which are critical for achieving optimal results. The current study addresses these challenges by applying FSW to flange joints using custom-engineered fixtures. These fixtures are meticulously designed to hold the pipes and plates securely during the welding process. The focus of the research is on optimizing the multi-performance characteristics of FSW for Al 6063 flange joints through the hybrid Grey-based Taguchi method. The integrity of the weld joint is assessed by examining various mechanical properties within the weld zone, including rotation speed, travel speed, tool profile, and shoulder diameter. The study identifies the optimal parameter settings for the FSW process: a rotation speed of 3000 rpm, a travel speed of 3 mm/min2, a shoulder diameter of 20 mm, and a conical tool profile. Under these ideal conditions, the welded material exhibited a tensile strength of 170.169 MPa, a hardness of 63.7709 HV, and a corrosion rate of 0.022 mm/year. These findings underscore the effectiveness of the optimized FSW process in producing robust and durable flange joints.
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Authors and Affiliations

Ibrahim Sabry
Mohamed ELWAKIL
A.M. HEWIDY
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Abstract

A non-traditional method of thermal machining called wire electrical discharge machining (WEDM) is utilized for the production of intricate and complex components, particularly those composed of difficult-to-machine materials. Stainless steel has gained widespread usage in various applications in contemporary industry owing to its exceptional properties. In this present investigation, a numerical 3D finite element modeling simulation was conducted using the ABAQUS software to analyze the Material Removal Rates (MRR) for both single and multi-discharge scenarios of AISI 304 stainless steel. The findings indicate a close correspondence between the MRR values predicted by the numerical modeling and those obtained experimentally corresponding to the optimal process parameters: I = 6 A, Ton = 45 s, and Toff = 5 s. Hence, this numerical approach offers the potential to forecast outcomes before actual machining operations.
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Authors and Affiliations

Sara A. EL-BAHLOUL
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Abstract

Predictive maintenance is one of the key aspects of Industry 4.0. The article presents the results of experimental tests of nitrogen purification filters in the installation of a low-pressure, metal processing device. The aim of the research was to develop a predictive algorithm for making decisions regarding the replacement of used filters, based on flow analysis and measurement of the pressure difference in front of and behind the tested filter. For the purposes of the research, a special test stand was constructed, which made it possible to determine the operating characteristics of three selected filters. Based on the tests carried out, the limit characteristics of the parameters measured were determined, identifying the need to replace filters in the gas installation.
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Authors and Affiliations

Sławomir Kłos
Marcin CHCIUK
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Abstract

In the current industrial context, the human workforce still represents a key resource thanks to its cognitive and motor flexibility. The present work explores the role of Industry 4.0 assistive technologies in production and logistics systems from a human-centric perspective. These technologies aim to provide cognitive or physical support to operators executing manual tasks, rather than substituting them. Therefore, there is need for a comprehensive understanding of the impact of assistive technologies on the well-being and performance of operators from a human-centric perspective. In this paper, a literature review on available assistive technologies is provided. Technologies are classified based on the type of manual task (picking, assembly), type of support provided to the operator (cognitive, motor), and potential drawbacks. Outcomes emphasize the need of a thorough human-centric perspective in developing and deploying assistive technologies.
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Authors and Affiliations

Andrea LUCCHESE
Giovanni MUMMOLO
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Abstract

The objective of the research is to pinpoint issues in project management, as this is crucial for the development of a successful project. There is a need to expand the existing knowledge in project management, as it contributes to enhancing a company’s project management system. Additionally, the study presents effective remedies for project management challenges. Initially, we introduce the specific project, followed by an examination of the current state of production processes. In this context, we endeavour to propose solutions. The concluding section focuses on evaluating these solutions, summarizing the study, and achieving the study’s objective. These outcomes contribute to cost savings and ensure maximum customer satisfaction.
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Authors and Affiliations

Ján ZUZIK
Beáta FURMANNOVÁ
Ľuboslav DULINA
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Abstract

The relevance of the research is determined as Ukraine, a country with a developed manufacturing industry, opens up new opportunities and challenges in the context of the global economy, which is increasingly based on global value chains, and studying this impact is key to achieving economic growth and competitiveness. The study aims to examine the relationship between Ukraine’s participation in global value chains and the development of the manufacturing industry to identify opportunities and prospects for their interaction. The methods used were analytical, functional, system analysis, deduction, synthesis, and comparison. The results showed that industrial development is closely linked to changes in production, exports, and participation in global value chains, which affect production volumes and the number of employees in Ukrainian industries. The practical implications are to facilitate the development of better export strategies and improve sectoral policies to increase the competitiveness and efficiency of Ukrainian enterprises in global value chains.
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Authors and Affiliations

Valerii MYTSENKO
Iryna BABETS
Ivan MYTSENKO
Mariya FLEYCHUK
Mariana DOROSH-KIZYM
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Abstract

The issue of modelling decision-making in the field of green production in a post-industrial society determines the relevance of the study. The main goal of the study is to develop a decision-making model that can help green industry organizations identify optimal strategies and actions to reduce environmental impacts, ensure sustainable efficiency, and promote development. The methodology used in the study involved a theoretical analysis, synthesis, and mathematical modelling methods. As a result, an innovative mathematical model was developed and proposed, which allows predicting the influence of various factors when choosing the optimal production strategy. The results show that the application of the developed model allows Ukrainian enterprises in the field of green production to determine optimal strategies aimed at reducing the environmental impact of production processes on the environment. It helps to ensure sustainable production efficiency, contributing to the economic sustainability of enterprises and the global economy.
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Authors and Affiliations

Kateryna BUZHYMSKA
Volodymyr VYHOVSKYI
Anhelina SOTNYK
Ihor SVITLYSHYN
Tetiana BILIAK
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Abstract

This research investigates the effects of green logistics practices on the sustainability performance of manufacturing enterprises in Oman, with a particular focus on the mediating role of circular economy practices. Analyzing data from 220 manufacturing companies through the PLS-SEM method, the findings reveal that green logistics management significantly enhances an organization’s sustainability and adherence to circular economy principles. Notably, while supply chain trackability greatly impacts circular economy practices, it does not moderate the relationship between sustainable performance and green logistics. This study enhances the understanding of how green logistics can support sustainable development and the implementation of circular economy practices in the manufacturing sector
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Authors and Affiliations

Amitabh Verma
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Abstract

The work aims to develop a methodical approach to assessing the employer’s level of social responsibility for employee health. Methods of statistical analysis, expert assessments, and content analysis were used. Developed a methodological approach to determining the level of social responsibility of the employer for maintaining the health of workers, which was tested in a sample of 18 enterprises of the machine-building industry of Kharkiv and Kharkiv region; it is determined by calculating an integrated indicator that combines quantitative and qualitative characteristics of the working environment in three planes (sections), which characterize the factors influencing human health: social conditions and lifestyle, the level of ecology of the working space, and the level of medical care at the enterprise. The results of the employer’s efforts to preserve the health of the employee are transformed into the health of the employee, which is analyzed through the indicator “Health Index”.
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Authors and Affiliations

Ganna Oganezova
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Abstract

Despite the presence of a huge amount of research on various aspects related to the rationale for selection of optimal technologies, spatial aspects have traditionally remained unattended by scientists. Justification for selection of optimal technologies for the production and transportation of good and justification for selection of optimal location and capacity of the corresponding industries are interrelated tasks of the complex problem of optimizing the spatial and technological development of an economic sector within the relevant space. At first, based on the criterion of the availability of factors of production of the corresponding good, attractive production sites are identified and for each of them selection of place-based optimal production technology is justified. The developed systematic approach involves the stage of identifying locally optimal places and technologies of production and transportation for each sales market option according to the criterion of the minimum total costs of producing a good in the volume of demand of the corresponding sales market option and the costs of transporting this good to potential sales markets that form the evaluated market option sales in the amount of their demand. At the final stage, options for potential systemically optimal places and technologies, which are formed from locally optimal places and technologies, are compared. The option of potential systemically optimal locations and corresponding production and transportation technologies with minimal total costs for production and transportation is the best.
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Authors and Affiliations

Jerzy Stadnicki
Andrii Terebukh
Yuliia STADNYTSKA

Instructions for authors

REVIEW PROCESS

Received manuscripts are first examined by the Management and Production Engineering Review Editors.
Manuscripts clearly not suitable for publication, incomplete or not prepared in the required style will be sent back to the authors without scientific review, but may be resubmitted as soon as they have been corrected.
The corresponding author will be notified by e-mail when the manuscript is registered at the Editorial Office (https://www.editorialsystem.com/mper/). The responsible editor will make the decision either to send the manuscript to another reviewer to resolve the difference of opinion or return it to the authors for revision. The ultimate decision to accept, accept subject to correction, or reject a manuscript lies within the prerogative of the Editor-in-Chief and is not subject to appeal. The editors are not obligated to justify their decision.
All manuscripts submitted to MPER editorial system ( https://www.editorialsystem.com/mper/) will be sent to at least two and in some cases three reviewers for passing the double-blind review process.
The material formatted in the MPER format must be unpublished and not under submission elsewhere.

REVIEWERS
Once a year a list of co-operating reviewers is publish in electronic version of MPER. All articles published in MPER are published in open access.


APC
In order to provide free access to readers, and to cover the costs of copyediting, typesetting, long-term archiving, and journal management, an article processing charge (APC) of 800 PLN (about 180 Euro, VAT included) for 10-page article applies to papers accepted after peer review. Each additional page of the article (over 10 pages) costs 80 PLN (about 18 Euro, VAT included).
Maximum length of the article is 18 pages (using MPER template).
There is no submission charge.

Guidelines for Authors

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The non-commercial use of the article will be governed by the Creative Commons Attribution license as currently displayed on https://creativecommons.org/licenses/by/4.0/.

Publication Ethics Policy

The ethics statements for the journal Management and Production Engineering Review are based on the guidelines of Committee on publication ethics (COPE) and the ELSEVIER publishing ethics resource kit.
For Authors: All articles, published in the journal Management and Production Engineering Review have to comprise a list of references which correspond with the journal’s Instructions to authors for paper preparation. The authors should ensure that they have written entirely original works, and if the authors have used the work and/or words of others that this has been appropriately cited or quoted. All articles are tested using antyplagiarism programme. An author should not in general publish manuscripts describing essentially the same research in more than one journal or primary publication. Submitting the same manuscript to more than one journal concurrently constitutes unethical publishing behaviour and is unacceptable. Authorship should be limited to those who have made a significant contribution to the conception, design, execution, or interpretation of the reported study. The corresponding author should ensure that all co-authors have seen and approved the final version of the paper and have agreed to its submission for publication. All authors should disclose in their manuscript any financial or other substantive conflict of interest that might be construed to influence the results or interpretation of their manuscript. All sources of financial support for the project should be disclosed.
Authors are accountable for the originality, validity and integrity of the content of their submissions. In choosing to use AI tools, authors are expected to do so responsibly and in accordance with our editorial policies on authorship and principles of publishing ethics. Authorship requires taking accountability for content, consenting to publication via an author publishing agreement, giving contractual assurances about the integrity of the work, among other principles. These are uniquely human responsibilities that cannot be undertaken by AI tools. Therefore, AI tools must not be listed as an author. Authors must, however, acknowledge all sources and contributors included in their work. Where AI tools are used, such use must be acknowledged and documented appropriately.
For Editor-in-Chief: The editor is responsible for decision which of the articles submitted to the journal should be published. The editor and editorial board and office must not disclose any information about a submitted manuscript to anyone other than the corresponding author, reviewers, potential reviewers, other editorial advisers, and the publisher, as appropriate. Unpublished materials disclosed in a submitted manuscript must not be used in an editor's own research without the express written consent of the author.
For Reviewers: Peer review helps the editor in making editorial decisions and also assist the author in improving the paper. Any selected referee who feels unqualified to review the research reported in a manuscript or knows that its prompt review will be impossible should notify the editor and excuse himself from the review process. Any manuscripts received for review must be treated as confidential documents. They must not be shown to or discussed with others except as authorized by the editor. Reviews should be conducted objectively. Personal criticism of the author is inappropriate. Reviewers should identify relevant published work that has not been cited by the authors. Any statement that an observation, derivation, or argument had been previously reported should be accompanied by the relevant citation. A reviewer should also call to the editor's attention any substantial similarity or overlap between the manuscript under consideration and any other published paper of which they have personal knowledge. Information obtained through peer review must be kept confidential and not used for personal advantage. Reviewers should not consider manuscripts in which they have conflicts of interest resulting from competitive, collaborative, or other relationships or connections with any of the authors, companies, or institutions connected to the papers. Other sources: http://apem-journal.org/


Peer-review Procedure

Received manuscripts are first examined by the Management and Production Engineering Review Editors. Manuscripts clearly not suitable for publication, incomplete or not prepared in the required style will be sent back to the authors without scientific review, but may be resubmitted as soon as they have been corrected. The corresponding author will be notified by e-mail when the manuscript is registered at the Editorial Office (marta.grabowska@put.poznan.pl; mper@put.poznan.pl). The ultimate decision to accept, accept subject to correction, or reject a manuscript lies within the prerogative of the Editor-in-Chief and is not subject to appeal. The editors are not obligated to justify their decision. All manuscripts submitted to MPER editorial office (https://www.editorialsystem.com/mper/) will be sent to at least two and in some cases three reviewers for passing the double-blind review process. The responsible editor will make the decision either to send the manuscript to another reviewer to resolve the difference of opinion or return it to the authors for revision.

The average time during which the preliminary assessment of manuscripts is conducted - 14 days
The average time during which the reviews of manuscripts are conducted - 6 months
The average time in which the article is published - 8.4 months

Reviewers

Hind Ali University of Technology, Iraq
Katarzyna Antosz Rzeszow University of Technology, Poland
Bagus Arthaya Mechatronics Engineering Universitas Parahyangan, Indonesia
Sarini Azizan Australian National University, Australia
Zbigniew Banaszak Management and Computer Science, Koszalin University of Technology, Poland
Lucia Bednarova Technical University of Kosice, Slovak Republic
Kamila Borsekova UNIVERZITA MATEJA BELA V BANSKEJ BYSTRICI, Slovak Republic
RACHID Boutarfa Hassan First University, Morocco
Anna Burduk Wrocław University of Science and Technology, Poland
Virginia Casey Universidad Nacional de Rosario, Argentina
Claudiu Cicea Bucharest University of Economic Studies Romania, Romania
Ömer Cora Karadeniz Technical University, Turkey
Wiesław Danielak Uniwersytet Zielonogórski, Poland
Jacek Diakun Poznan University of Technology, Poland
Ewa Dostatni Poznan University of Technology, Poland
Marek Dźwiarek
Milan Edl University of West Bohemia, Czech Republic
Joanna Ejdys Bialystok University of Technology, Poland
Abdellah El barkany Sidi Mohamed Ben Abdellah University Faculty of Science and Technology of Fez, Morocco
Francesco Facchini Università degli Studi di Bari, Italy
Mária Magdolna Farkasné Fekete Szent István University, Hungary
Çetin Fatih Başkent Üniversitesi, Turkey
Mose Gallo Materials and Industrial Production Engineering, University of Napoli Federico, Italy
Mit Gandhi Gujarat Gas Limited, India
Józef Gawlik Cracow University of Technology, Institut of Production Engineering, Poland
Andrzej Gessner Politechnika Poznańska, Poland
Pedro Glass Universitatea Valahia din Targoviste, Romania
Arkadiusz Gola Lublin University of Technology, Faculty of Mechanical Engineering, Lublin, Poland
Alireza Goli Department of industrial engineering, Yazd university, Yazd, Iran
Magdalena Graczyk-Kucharska Instytut Inżynierii Bezpieczeństwa i Jakości, Zakład Marketingu i Rozwoju Organizacji, Politechnika Poznańska, Poland
Damian Grajewski Production Engineering Department, Poznan University of Technology, Poland
Łukasz Grudzień Production Engineering Department, Poznan University of Technology, Poland
Patrik Grznár, University of Žilina Faculty of Mechanical Engineering, Slovak Republic
Anouar Hallioui INTI International University, Malaysia
Ali HAMIDOGLU
Adam Hamrol Mechanical Engineering, Poznan University of Technology, Poland
ni luh putu hariastuti itats, Indonesia
Christian Harito Bina Nusantara University, Indonesia
Muatazz Hazza Mechanical and Industrial Engineering Department; School of Engineering. American University of Ras Al Khaimah. United Arab Emirates, United Arab Emirates"
Ali Jaboob, Dhofar University, College of Commerce and Business Administration, Oman
Małgorzata Jasiulewicz-Kaczmarek Poznan University of Technology, Poland
Oláh Judit University of Debrecen, Hungary
Jan Klimek Szkoła Główna Handlowa, Poland
Nataliia Klymenko National University of Life and Environmental Sciences of Ukraine,
Peter Kostal Slovenská Technická Univerzita V Bratislave, Slovak Republic
Martin Krajčovič University of Žilina, Faculty of Mechanical Engineering, Department of Industrial Engineering, Slovak Republic
Robert Kucęba Wydział Zarządzania, Politechnika Częstochowska, Poland
Agnieszka Kujawińska Poznan University of Technology
Edyta Kulej-Dudek Politechnika Częstochowska, Poland
Sławomir Kłos Institute of Mechanical Engineering, University of Zielona Góra, Poland
Christian Landschützer Graz University of Technology, Austria
Anna Lewandowska-Ciszek Department of Logistics, Poznań University of Economics and Business, Poland
Damjan Maletič University of Maribor, Faculty of Organizational Sciences, Slovenia
Marcela Malindzakova Technical University, Slovak Republic
Józef Matuszek
Janusz MLECZKO
Rami Mokao MIS - Management Information Systems, HIAST, Syria
Maria Elena Nenni University of Naples, Italy
Nor Hasrul Akhmal Ngadiman School of Mechanical Engineering, Universiti Teknologi Malaysia, Malaysia
Dinh Son Nguyen The University of Danang, University of Science and Technology, Viet Nam
Duc Duy Nguyen Department of Industrial Systems Engineering, Ho Chi Minh Technology University (HCMUT), Viet Nam
Filscha Nurprihatin Sampoerna University, Indonesia
Filip Osiński Poznan University of Technology
Ivan Pavlenko Department of General Mechanics and Machine Dynamics, Sumy State University, Ukraine
Robert Perkin BorgWarner, United States
Alin Pop University of Oradea, Romania
Ravipudi Venkata Rao "Department of Mechanical Engineering S. V. National Institute of Technology, Surat, India"
Marta Rinaldi University of Campania, Italy
Michał Rogalewicz, Poznan University of Technology, Poland
David Romero Tecnológico de Monterrey, Mexico
ELMADANI SAAD Hassan First university of Settat, Morocco
Krzysztof Santarek Faculty of Mechanical and Industrial Engineering, Warsaw University of Technology, Poland
shankar sehgal Panjab University Chandigarh, India
Robert Sika Faculty of Mechanical Engineering and Management, Institute of Materials Technology, Poland
Chansiri Singhtaun Department of Industrial Engineering, Faculty of Engineering, Kasetsart University, Thailand
Bożena Skołud Silesian University of Technology, Poland
Lucjan Sobiesław Jagiellonian University, Poland
Fabiana TORNESE University of Salento, Italy
Stefan Trzcielinski Poznan University of Technology, Poland
Amit Kumar Tyagi Centre for Advanced Data Science, India
Cang Vo Binh Duong University, Viet Nam
Jaroslav Vrchota University of South Bohemia České Budějovice, Faculty of Economics, Czech Republic
Radosław Wichniarek Poznan University of Technology, Poland
Ewa Więcek-Janka Wydział Inżynierii Zarządzania, Politechnika Poznańska, Poland
Josef Zajac Uniwersytet Techniczny w Koszycach, Slovak Republic
Aurora Zen Universidade Federal do Rio Grande do Sul, Brazil

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