Management and Production Engineering Review

Content

Management and Production Engineering Review | 2025 | Vol. 16 | No 1

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Abstract

A novel approach has emerged to enhance the efficiency and reliability of predictive maintenance strategies, namely the taxonomy approach for defining types of production machines. This innovative method represents a significant departure from traditional categorisation methods, promising to improve how organisations manage and maintain their production equipment. Organisations can reduce overall maintenance costs and minimise unplanned downtime through proactive maintenance based on taxonomy-driven insights, increasing operational efficiency and profitability. The article explores how the taxonomy approach leverages data analytics and machine learning techniques to classify production machines into distinct categories based on their operational characteristics, usage patterns, and maintenance needs. Doing so offers several key advantages: improved precision, predictive maintenance customisation, data-driven insights, and scalability. The taxonomy approach is based on data-driven insights, allowing organisations to harness the power of big data and the Industrial Internet of Things (IIoT). Maintenance teams can detect anomalies and issues by analysing real-time data from production machines before they lead to breakdowns. In the discussion part, a brief overview highlights the integration of predictive maintenance with Industry 4.0, the uniqueness of the proposed method, and its potential implications for modern production systems.
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Authors and Affiliations

Mariusz Bednarek
Sławomir Luściński
Marek Jabłoński
ORCID: ORCID
Guillermo Jorge SCHAFFELD GRANIFFO
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Abstract

The purpose of this work is to present a concept of a methodology in the area of Attribute Agreement Analysis. The study was conducted using the process control of decorative paper (laminate) for furniture applications. The specificity of decorative paper quality control inspired the authors to propose a modification of the classical cross-tabulation method with the Cohen's Kappa coefficient, enabling the consideration of a multi-variant reference standard (mvREF). The results show that the proposed approach can solve the problem of the necessity of using the multi-variant reference standard (mvREF). To illustrate the proposed approach, a numerical example is used. The results demonstrate that the proposed approach is useful for Attribute Agreement Analysis.
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Authors and Affiliations

Magdalena HRYB
Michał PAWLACZYK
Jiehan Zhou
Joanna MAJCHRZAK
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Abstract

Aerospace components use AMS 5643 stainless steel as a raw material. Material toughness and hardness are challenges in the roughing machining process on CNC lathes. We designed experiments combining Taguchi-Response Surface Method to optimize multi-response: cycle time, material removal rate, and cutting power. This study uses CAM Espirit TNG and Celos Tech software simulations as an experimental approach. Confirmation test results show that changing process parameters in simulation software is able to produce a response that is close to reality. This research succeeded in identifying the contribution of machining process factors and finding parameters with optimal multi-response.
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Authors and Affiliations

Kristian ISMARTAYA
Dimitri Manggala LIMANTA
Aditya NUGRAHA
Ronald SUKWADI
Ching-Chow YANG
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Abstract

The study investigates the integration of Industry 4.0 concepts within Polish family manufacturing enterprises, focusing on the evolving competencies required of Engineer 4.0 and Manager 4.0. Utilizing a survey of 178 family businesses, the research explores correlations between organizational characteristics—such as size, ownership, and technological sophistication—and perceptions of Industry 4.0 competencies. Statistical analyses reveal significant relationships between these characteristics and the evaluation of strategic management, interdisciplinary collaboration, and technical skills. Despite the transformative potential of Industry 4.0 technologies, implementation challenges persist, highlighting the need for tailored competency models to bridge these gaps. The findings offer valuable insights into aligning managerial and engineering expertise with the dynamic demands of modern manufacturing environments.
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Authors and Affiliations

Ewa Więcek-Janka
ORCID: ORCID
Natalia CHOCHOŁOWSKA
Weronika ZARÓWNA
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Abstract

The article presents the results of an analysis of the legal requirements related to sustainability for manufacturing companies. It then concludes what new responsibilities and necessities for change result from the mentioned legal requirements. A model for diagnosing the needs in preparation for the environmental-energy transformation of the enterprise was proposed, which enables the implementation of steps to achieve climate neutrality of the enterprise.
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Authors and Affiliations

Marta Grabowska
Paweł Majcher
Łukasz Syska
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Abstract

Electrical discharge machining (EDM) is a potent technique widely applied to machining materials like EN-8M steel and composite materials. The surface quality achieved through EDM is significantly affected by the settings of its parameters and the type of material being processed. In this context, the focus of research has often been on heavy metals and titanium and magnesium alloys among lighter metals. This study aims to investigate the impact of EDM parameters, specifically on Tungsten Carbide, a material gaining traction across various industries. Our research involved a thorough parametric analysis utilizing a full factorial method to examine factors influencing surface roughness (SR) and material removal rate (MRR). This paper highlights the optimization of MRR using a Rotary electrode attachment. Experiments were conducted employing factorial design to delve deeper into the machining characteristics of Tungsten Carbide with a 4 mm Brass-coated rod as the electrode. Key parameters such as summit current, electrode rotation speed, and Pulse on time were systematically adjusted. The analysis of the machining parameters revealed their significant influence on the outcomes, with p-values falling below 0.05, underscoring their critical role in the EDM process. The developed mathematical models demonstrated a high R-squared value alongside minimal error percentages. The most critical parameters identified for optimal results included an electrode rotational speed of 150 rpm, a summit current of 1.22 A, and a Pulse on time set at 8.45 ms.
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Authors and Affiliations

Ibrahim Sabry
Abdel Hamid I. MOURAD
Mohamed ELWAKIL
Ahmed M. HEWID
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Abstract

Environmental issues are of the utmost importance and should not be used as a tool for the purposes of competition. Furthermore, consumers are becoming increasingly aware of the environment and prefer products made from sustainable materials. Therefore, adopting environmentally friendly practices is expected to enhance company sales. This study aims to examine the impact of green innovation, adoption of green accounting and environmental management accounting on the performance of manufacturing firms in Indonesia. The research was conducted on manufacturing firms that are listed on the Indonesia Stock Exchange in the period between 2017 and 2021. The structural equation modelling technique was used to test the hypotheses. The results suggest that the implementation of green innovation affects green accounting, environmental management accounting and firm performance, but the implementation of green accounting and environmental management accounting does not affect firm performance. The implications of these findings are examined in the discussion section.
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Authors and Affiliations

Andri ZAINAL
Haikal Rahman
Pasca Dwi Putra
Khairunnisa Harahap
Roza Thohiri
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Abstract

This paper is an extension of the conference publication (Kahouadji & Belkaid, 2022). It introduces a new Hybrid Failure Modes, effects, and criticality analysis (FMECA) Model for Prioritizing Failure Modes using Multi-Criteria Decision-Making (MCDM) technique which can serve as a substitute for the conventional risk priority number (RPN) methodology. Our argument is that the RPN method has inherent limitations when it comes to evaluating risks and pinpointing crucial concerns, which can lead to imprecise risk management decisions. The proposed hybrid FMECA combines the strengths of subjective assessments, such as expert judgment and descriptive data, with objective, measurable data such as numerical scores. This integration provides a more comprehensive evaluation of risks and criticality. The hybrid approach incorporates the French repairability index (RI) as a new factor which enhances accuracy and reliability while strengthen the eco-awareness of the risk assessment. We integrate two MCDM (VIKOR & TOPSIS) methods into the hybrid FMECA approach and illustrate its effectiveness through a case study where we identify and prioritize critical issues in a complex system. The results of the study confirm that the hybrid FMECA approach provides a more robust risk management tool compared to the traditional RPN method, making it a valuable technique for engineers and risk managers.
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Authors and Affiliations

Housseyn Amin KAHOUADJI
Fayçal BELKAID
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Abstract

The paper focuses on creating a proposal for an innovative solution for technological changes in manufacturing and assembly processes in industrial production of incubators. The aim of the paper is to point out how the manufacturing and assembly processes can be made more efficient so that capacity of industrial production of incubators is maximized, enterprise resource planning is fully integrated with production plan and overall evaluation of machinery efficiency is acceptable to all business subjects involved and creates potential for economic added value. The empirical methods used were TOC method, data mining-based analysis, analysis of internal documents, process benchmarking, FMEA, Lean manufacturing, Kaizen, process audit, Six Sigma, guided interview, Pareto analysis, Ishikawa diagram, Practice, 5 Whys method and 8D report method. The application part of the paper describes changes and innovation in production of industrial incubators concerning increased efficiency of assembly processes targeted at product quality. By optimizing production of incubators in compliance with customer preferences, life functions of new-born babies were improved. According to analysis of input data implementation of investment projects concerning changes in mass production and assembly of machinery benefits of projects were upgrading manual manufacturing to semiautomatic. Increased performance and streamlining of manufacturing and assembly processes in integration with an increase capacity of production stations enabled reducing operating costs of main production activity by implementing cost-saving measures. This contributed to promoting competitiveness of industrial and production enterprises and stabilizing their position in national and international market by integrating strategic, commercial, labor, and other business development and growth opportunities. Key innovations and technological changes create potential for economic added value and stable growth. A better understanding and implementation of optimization scientific research methods in production processes has potential to ensure long-term competitiveness of industrial and manufacturing enterprises on the global market. Ambitions of further research is application of SMED (Single Minute Exchange of Die) in Lean manufacturing, which enables synchronization of production flows and reduction of machine working hours with an emphasis on waste minimization, operator space optimization and rejection rate reduction of non-value operations at machine changes.
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Authors and Affiliations

Radka VANÍCKOVÁ
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Abstract

The article focuses on the issue of streamlining logistics processes by applying selected VSM and kanban lean tools, which are also of great importance in the current digital age, especially from the point of view of finding the potential for eliminating processes and activities that do not add value. Unlike traditional supply systems, the new dynamic approach to inventory management is that it considers unique procurement methods, unique demand, and product flows through the manufacturing process. The mentioned approach aims to define the optimal amount of stock, which can ensure the required level of supply service and, at the same time the efficiency of material flows in production and assembly and reflect on fluctuations in demand In the analysis and verification of outputs, methods of lean production, VSM, OEE monitoring, and kanban were used. An object-oriented approach to business process modelling using ARIS software was used for process algorithmizing.
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Authors and Affiliations

Miriam PEKARCIKOVA
Peter Trebuna
Jana KRONOVA
Marek Kliment
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Abstract

In the mining industry, the use and maintenance of equipment are associated with significant operational costs. One of the issues in this case is tire wear, as tires account for a major part of the operating costs of rubber-tired equipment. This paper aims to improve the tire life span of hauling dump truck tires using the Six Sigma approach. The case study was conducted at a medium-sized coal-hauling contractor company. The root causes were identified through a cause-effect diagram, which improved operations by increasing tire life by 27% from 56.065 kilometers to 73.093 kilometers.
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Authors and Affiliations

Selamat W. HIA
Moses LAKSONO SINGGIH
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Abstract

The relationship between economic globalization and structural indicators of output and employment is substantiated in a processing industry. It is proved that there is a high correlation between the economic globalization index (de facto) and the shares of production in the structure of output and employment of the processing industries of Poland, Italy, France, and Germany. With the help of regression equations, possible structural changes in output and employment in the processing industries of the analyzed countries were modelled with an increase in the economic globalization index by 5 points. To achieve the obtained results, an original methodological approach and classical methods of economic analysis were applied.
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Authors and Affiliations

Lyubomyr Sozanskyy
ORCID: ORCID
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Abstract

The aim of this study is to examine the collaboration among members of a business cluster in the field of technology management, specifically focusing on the Metal Processing Cluster operating in Poland. Utilizing survey data, a structural model is developed through the Partial Least Squares Structural Equation Modelling technique. The resulting statistically valid model elucidates several significant relationships that are crucial for fostering collaboration within a business cluster, while simultaneously affirming the advantages associated with membership in such an organizational structure. Participation in a cluster has the potential to expedite information acquisition, cultivate valuable new knowledge within firms, and yield both operational and strategic benefits. Although knowledge that facilitates and supports innovation is deemed essential for maximizing the advantages of cluster participation, a significant number of surveyed cluster companies have yet to implement such knowledge, suggesting the existence of untapped opportunities for further benefits among members.
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Authors and Affiliations

Elżbieta Krawczyk-Dembicka
ORCID: ORCID
Wiesław Urban
ORCID: ORCID
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Abstract

In today’s expanding market, customers prefer components with excellent mechanical properties and smooth surfaces. Additive manufacturing (AM) has been traditionally limited in full-scale manufacturing due to its mechanical strength and surface roughness. As a result, AM has been primarily utilized for prototyping and job shop production. Fused Deposition Modelling (FDM) involves the extrusion of wax or plastic materials through nozzles and layering them on a bed or platform to achieve the desired cross-sectional shape. There is a growing demand in industries for high-quality parts produced at a low cost and in a shorter time frame. It becomes crucial to optimize the machine’s process parameters. However, it can be challenging to consistently achieve optimal values, even for a skilled operator. Understanding the FDM system parameters that affect the quality and mechanical properties of the final product is essential. Consequently, this study focuses on optimizing process variables to enhance the surface roughness of FDM products. The response surface methodology (RSM) has been utilized to determine the optimal FDM machining conditions. To plan and analyze experiments, a Design of Experiments (DOE) has been employed, considering factors such as layer thickness, printing temperature, and printing velocity. By integrating these parameters, we have determined the optimal layer thickness to be 0.20 mm, printing temperature to be 205.01 degrees, and printing velocity to be 50 mm/s, resulting in a surface roughness of 0.0510 microns. A confirmation test based on the optimal parameters has demonstrated good agreement with the predicted surface roughness result.
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Authors and Affiliations

Janak SUTHAR
Vinod G. SURANGE
Shivagond TELI

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.


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Maximum length of the article is 18 pages (using MPER template).
There is no submission charge.

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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/.

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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

2024
No Name Surname Affiliation
1 Abd El-Rahman Abd El-Raouf Ahmed Agricultural Engineering, Agricultural Engineering Research Institute, Giza , Egypr
2 Wiktor Adamus Jagiellonian University, Poland
3 Shoaib Akhtar Fatima Jinnah Women University, Pakistan
4 Mohammad Al-Adaileh "COLLEGE OF ENGINEERING Engineering, Technology, and Management Assistant Professor of Instruction, United States"
5 Hind Ali University of Technology, Iraq
6 Katarzyna Antosz Rzeszow University of Technology, Poland
7 Muhammad Asrol Binus University, Indonesia
8 Lucia Bednarova Technical University of Kosice, Slovak Republic
9 Haniyah Bilal Haverford university, United States
10 Berihun Bizuneh "Bahir Dar University Bahir Dar Univ, Ethiopian Inst Text & Fash Technol, Bahir Dar, Ethiopia, Ethiopia"
11 Łukasz Brzeziński Katedra Organizacji i Zarządzania, Wyższa Szkoła Logistyki w Poznaniu, Poland
12 Waldemar Budner Katedra Logistyki, Uniwersytet Ekonomiczny w Poznaniu, Poland
13 Anna Burduk Wrocław University of Science and Technology, Poland
14 Vishnu C R Department of Humanities and Social Sciences, Indian Institute of Technology Tirupati, India
15 Fatih Çetin Başkent Üniversitesi, Turkey
16 Danylo Cherevatskyi Institute of Industrial Economics of NAS of Ukraine: Kiev, UA, Ukraine
17 Claudiu Cicea Bucharest University of Economic Studies Romania, Romania
18 Hasan Huseyin Coban Department of Electrical Engineering, Bartin University, Turkey
19 Juan Cogollo-Florez Universidad Nacional de Colombia, Colombia
20 David Coopler Universitat Politècnica de València, Romania
21 Ömer Cora Karadeniz Technical University, Turkey
22 Margareta Coteata Gheorghe Asachi Technical University of Iasi, Department of Manufacturing Engineering, Romania
23 Szymon Cyfert Poznań University of Economics and Business, Poland
24 Valentina Di Pasquale Department of Industrial Engineering, University of Salerno, Italy
25 Milan Edl University of West Bohemia, Czech Republic
26 Luis Edwards Cornell University, United States
27 Joanna Ejdys Bialystok University of Technology, Poland
28 Abdellah El barkany Sidi Mohamed Ben Abdellah University Faculty of Science and Technology of Fez, Morocco
29 Chiara Franciosi CRAN UMR 7039, Université de Lorraine, France
30 Mose Gallo Materials and Industrial Production Engineering, University of Napoli Federico, Italy
31 Tetiana Galushkina State Ecological Academy of Postgraduate Education and Management, Ukraine
32 Józef Gawlik Cracow University of Technology, Institut of Production Engineering, Poland
33 Rohollah Ghasemi, College of Management, University of Tehran, Iran
34 Arkadiusz Gola, Lublin University of Technology, Faculty of Mechanical Engineering, Poland
35 Alireza Goli Department of industrial engineering, Yazd university, Yazd, Iran
36 Magdalena Graczyk-Kucharska, Politechnika Poznańska, Poland
37 Adriana Grenčíková Industry 4.0, Human factor, Ergonomic, Slovak Republic
38 Patrik Grznár, Department of Industrial Engineering, University of Žilina Faculty of Mechanical Engineering, Slovak Republic
39 Anouar Hallioui INTI International University, Malaysia
40 Adam Hamrol Mechanical Engineering, Poznan University of Technology, Poland
41 ni luh putu hariastuti itats, Indonesia
42 Paula Heliodoro, Polytechnic Institute of Setubal, Portugal
43 Vitalii Ivanov Department of Manufacturing Engineering, Machines and Tools, Sumy State University, Ukraine
44 Ali Jaboob Dhofar University, Oman
45 Zamberi Jamaludin Universiti Teknikal Malaysia Melaka, Malaysia
46 Izabela Jonek-Kowalska, Wydział Organizacji i Zarządzania Politechnika Śląska, Poland
47 Satishbabu ACE India
48 Prasad Kanaka Institute of Industrial Relations and Human Resource Development, India
49 Anna Karwasz Poznan University of Technology, Poland
50 Waldemar Karwowski University of Central Florida, United States
51 Osmo Kauppila University of Oulu, Finland
52 Tauno Kekale Merinova Technology Centre, Finland
53 Mahmoud Khedr Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt, Egypt
54 Peter Kostal Department of Production Systems, Metrology and Asembly, Slovenská Technická Univerzita V Bratislave, Faculty of Material Science and Technology, Slovak Republic
55 Boris Kostow University of Angela Kyncheva in Ruse, Bulgaria
56 Martin Krajčovič, University of Žilina, Faculty of Mechanical Engineering, Slovak Republic
57 Caroline  Kristian Uppsala University, Sweden
58 Robert Kucęba Wydział Zarządzania, Politechnika Częstochowska, Poland
59 Agnieszka Kujawińska Poznan University of Technology
60 Edyta Kulej-Dudek Politechnika Częstochowska, Poland
61 Bhakaporn Kuljirundhorn Foxford University, Canada
62 Rajeev Kumar Doon University, India
63 Sławomir Kłos Institute of Mechanical Engineering, University of Zielona Góra, Poland
64 Yu Lee National Tsing Hua University, Taiwan
65 Anna Lewandowska-Ciszek Department of Logistics, Poznań University of Economics and Business, Poland
66 Wojciech Lewicki West Pomeranian University of Technology in Szczecin, Poland
67 Tetiana Likhouzova National Technical University of Ukraine, “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine
68 Damjan Maletič University of Maribor, Faculty of Organizational Sciences, Slovenia
69 Marcela Malindzakova Technical University, Slovak Republic
70 Ildiko Mankova Technical University of Košice, Slovakia
71 Arnaud  Marcelline University of Nantes, France
72 Józef Matuszek University of Bielsko-Biała, Poland
73 Marcin Matuszny Department of Production Engineering, Faculty of Mechanical Engineering and Computer Science, University of Bielsko-Biala, ul. Willowa 2, 43-300 Bielsko-Biała
74 Giovanni Mazzuto Università Politecnica Delle Marche, Italy
75 Tomasz Małkus Uniwersytet Ekonomiczny w Krakowie, Katedra Procesu Zarządzania, Poland, Poland
76 Rafał Michalski Katedra Systemów Zarządzania i Rozwoju Organizacji, Politechnika Wrocławska, Poland
77 Jerzy Mikulik AGH University of Krakow, Poland
78 Rami Mokao MIS - Management Information Systems, HIAST, Syria
79 Norsyahida Mokhtar International Islamic University Malaysia, Malaysia
80 Ig. Jaka Mulyana Industrial Engineering, Widya Mandala Surabaya Catholic University, Indonesia
81 Nor Hasrul Akhmal Ngadiman School of Mechanical Engineering, Universiti Teknologi Malaysia, Malaysia
82 Duc Duy Nguyen Department of Industrial Systems Engineering, Ho Chi Minh Technology University (HCMUT), Viet Nam
83 fernando Nino Polytechnic University of San Luis Potos, Mexico
84 Filscha Nurprihatin Sampoerna University, Indonesia
85 Rebecca Oliver Stockton University, United States
86 Anita Pavlenko Kryvyi Rih State University of Economics and Technology, Ukraine
87 Aleksandar Pesic, MB University, Faculty of Business and Law, Belgrade, Serbia, Serbia
88 Huy Phan Education Technology University, Vietnam, Viet Nam
89 Anna Piekarczyk Poznan School of Logistics (WSL), Poland
90 Alin Pop University of Oradea, Romania
91 Humiras Purba Industrial Engineering, Associate Professor, Universitas Mercu Buana, Jakarta, Indonesia, Indonesia
92 Tengku nur Azila Raja Mamat Universiti Tun Hussein Onn Malaysia (UTHM), Malaysia
93 Silvijo  Renato University of Rijeka, Croatia
94 Piotr Rogala Department of Quality and Environmental Management, Wroclaw University of Economics and Business, Poland
95 Michał Rogalewicz, Faculty of Mechanical Engineering, Poznan University of Technology, Poland
96 Izabela Rojek Institute of Computer Science, Kazimierz Wielki University, Poland
97 Adam Sadowski Katedra Strategii i Zarządzania Wartością Przedsiębiorstwa, Uniwersytet Łódzki, Poland
98 Mansia Sadyrova Al-Farabi Kazakh National University, Kazakhstan
99 Nadia Saeed University of the Punjab, Pakistan
100 Sebastian Saniuk Uniwersytet Zielonogórski, Poland
101 Krzysztof Santarek Faculty of Mechanical and Industrial Engineering, Warsaw University of Technology, Poland
102 shankar sehgal Panjab University Chandigarh, India
103 Piotr Senkus University of Warsaw, Poland
104 Jarosław Sęp Politechnika Rzeszowska, Wydział Budowy Maszyn i Lotnictwa, Poland
105 Robert Sika Faculty of Mechanical Engineering and Management, Institute of Materials Technology, Poland
106 Dariusz Sobotkiewicz Instytut Nauk o Zarządzaniu i Jakości, Uniwersytet Zielonogórski, Poland
107 Beata Starzyńska Poznan University of Technology
108 Klaudia Tomaszewska Faculty of Management Engineering, Bialystok University of Technology, Poland
109 Stefan Trzcielinski Poznan University of Technology, Poland
110 Cang Vo Binh Duong University, Viet Nam
111 Somporn Vongpeang Faculty of Technical Education, Rajamangala University of Technology Thanyaburi, Thailand
112 Jaroslav Vrchota University of South Bohemia České Budějovice, Faculty of Economics, Czech Republic
113 Gerhard-Wilhelm Weber Poznań University of Technology, Poland
114 Ewa Więcek-Janka Wydział Inżynierii Zarządzania, Politechnika Poznańska, Poland
115 Linda Winters Czech University of Life Sciences, Czech Republic
116 Zbigniew Wisniewski Lodz University of Technology, Poland
117 Piotr Wróblewski Faculty of Engineering, University of Technology and Economics H. Chodkowska in Warsaw, Poland
118 Iseul  Young Hanyang University, Korea (South)
119 Chong Zhan Hubei University, China
120 Sylwia Łęgowik-Świącik Czestochowa University of Technology Poland, Poland


2025
No. Name Surname Affiliation
1 akshat gaurav akshat Asia University, Taiwan
2 luma Al-kindi University of Technology, Iraq
3 Hind Ali University of Technology, Iraq
4 Katarzyna Antosz Rzeszow University of Technology, Poland
5 Gilmar Batalha Universidade de Sao PauloUniv Sao Paulo, Mech Engn Dept, Escola Politecn, Sao Paulo, SP, Brazil, Brazil
6 Lucia Bednarova Technical University of Kosice, Slovak Republic
7 Anna Burduk Wrocław University of Science and Technology, Poland
8 Danylo Cherevatskyi Institute of Industrial Economics of NAS of Ukraine: Kiev, UA, Ukraine
9 Dorota Czarnecka-Komorowska Faculty of Mechanical Engineering, Poznan University of Technology, Poland
10 SUGANYA Devi National Institute of Technology,Silchar, India
11 Jacek Diakun Poznan University of Technology, Poland
12 Milan Edl University of West Bohemia, Czech Republic
13 João Furtado Santa Cruz do Sul University, Brazil
14 Bożena Gajdzik "Politechnika Śląska Wydział Inżynierii Materiałowej Katedra Informatyki Przemysłowej, Poland"
15 Mose Gallo Materials and Industrial Production Engineering, University of Napoli Federico, Italy
16 Remigiusz Gawlik Department of Public Management, Krakow University of Economics (KUE), Poland
17 Raja Reddy GNV University of Saskatchewan, Canada
18 Arkadiusz Gola Department of Production Informatisation and Robotisation, Lublin University of Technology,Poland
19 Alireza Goli Department of industrial engineering, Yazd university, Yazd, Iran Iran, Iran
20 Cristian Gómez Universidad Nacional de Colombia, Colombia
21 José-Armando HIDALGO CRESPO ENSAM, Spain
22 Magdalena HRYB Faculty of Mechanical Engineering, Poznan University of Technology, Poland
23 Katarzyna Hys Opole University of Technology, Poland
24 Izabela Jonek-Kowalska "Wydział Organizacji i Zarządzania Politechnika Śląska, Poland"
25 Amirhossein Karamoozian, University of Chinese Academy of Sciences, China
26 Anna Karwasz Poznan University of Technology, Poland
27 khaoula khlie Liwa college, Morocco
28 Jerzy Kisilowski
29 Peter Kostal, Slovenská Technická Univerzita V Bratislave, Faculty of Material Science and Technology, Slovak Republic
30 Herbert Kotzab Institute for Logistics and Supply Chain Management, University of Bremen, Germany
31 Martin Krajčovič University of Žilina, Faculty of Mechanical Engineering, Slovak Republic
32 Krzysztof Krystosiak Toronto Metropolitan University, Graphic Communications Management, Canada
33 Wiesław Kuczko Poznan University of Technology, Poland
34 Agnieszka Kujawińska Poznan University of Technology, Poland
35 Edyta Kulej-Dudek Politechnika Częstochowska, Poland
36 Anup Kumar Inst Management Technol NagpurInst Management Technol Nagpur, Nagpur, Maharashtra, India, India
37 Sławomir Kłos Institute of Mechanical Engineering, University of Zielona Góra, Poland
38 Quynh Le Song Thanh Ho Chi Minh Technology University, Viet Nam
39 Yu Lee National Tsing Hua University, Taiwan
40 Stanisław Legutko Faculty of Mechanical Engineering, Poznan University of Technology, Poznan, Poland, Poland
41 Anna Lewandowska-Ciszek Department of Logistics, Poznań University of Economics and Business, Poland
42 José Machado University of Minho · School of Engineering, Portugal
43 Damjan Maletič University of Maribor, Faculty of Organizational Sciences, Slovenia
44 Marcela Malindzakova Technical University, Slovak Republic
45 Tomasz Malkus Department of Management Process, Cracow University of Economics, Poland
46 Mengistu Manaye, Kombolcha Institute of Technology, Wollo University, Ethiopia, Ethiopia
47 Marcin Matuszny, Faculty of Mechanical Engineering and Computer Science, University of Bielsko-Biala, Poland
48 Tomasz Małkus, Uniwersytet Ekonomiczny w Krakowie, Katedra Procesu Zarządzania, Poland, Poland
49 Rami Mokao MIS - Management Information Systems, HIAST, Syria
50 Beata Mrugalska Poznan University of Technology, Poland
51 Ig. Jaka Mulyana Industrial Engineering, Widya Mandala Surabaya Catholic University, Indonesia
52 fernando Nino Polytechnic University of San Luis Potos, Mexico
53 Shimon Nof Purdue University, United States
54 Hana Pacaiová KLI, Faculty of Mechanical Engineering, Faculty of Aeronautics, Technical University of Košice, Slovak Republic
55 Arun Kiran Pal Printing Engineering Department, Jadavpur University, India
56 Michal Patak University of Pardubice, Czech Republic
57 Ivan Pavlenko Department of General Mechanics and Machine Dynamics, Sumy State University, Ukraine
58 Miriam Pekarcikova Department of industrial and digital engineering, Technical University of Košice, Faculty of Mechanical Engineering, Slovak Republic
59 Alin Pop University of Oradea, Romania
60 Praveen Prabhu School of Engineering and Technology, Shivaji University, Kolhapur., India
61 Humiras Purba Industrial Engineering, Associate Professor, Universitas Mercu Buana, Jakarta, Indonesia, Indonesia
62 Paulina Rewers Faculty of Mechanical Engineering, Poznań University of Technology, Poland
63 Michał Rogalewicz Division of Production Engineering, Institute of Materials Technology, Faculty of Mechanical Engineering, Poznan University of Technology, Poland
64 Izabela Rojek Institute of Computer Science, Kazimierz Wielki University, Poland
65 David Romero Tecnológico de Monterrey, Mexico
66 Adam Sadowski Katedra Strategii i Zarządzania Wartością Przedsiębiorstwa, Uniwersytet Łódzki, Poland
67 Abdu Salam Abdul Wali Khan Univ MardanAbdul Wali Khan Univ Mardan, Dept Comp Sci, Mardan 23200, Pakistan, Pakistan
68 fernando sampaio KMITL, Brazil
69 Sebastian Saniuk Uniwersytet Zielonogórski, Poland
70 Iman Sharaf "Higher Technological Institute - Egypt Higher Technol Inst, Dept Basic Sci, Cairo, Egypt, Egypt"
71 Robert Sika Faculty of Mechanical Engineering and Management, Institute of Materials Technology, Poland
72 Beata Starzyńska Poznan University of Technology
73 Robert Ulewicz Politechnika Częstochowska, Poland
74 Wiesław Urban Politechnika Białostocka, Poland
75 Cang Vo Binh Duong University, Viet Nam
76 Jaroslav Vrchota University of South Bohemia České Budějovice, Czech Republic
77 Ewa Więcek-Janka Wydział Inżynierii Zarządzania, Politechnika Poznańska, Poland
78 Sylwia Łęgowik-Świącik Czestochowa University of Technology Poland, Poland

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