Management and Production Engineering Review

Content

Management and Production Engineering Review | 2024 | Vol. 15 | No 4

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Abstract

Indonesia is developing its infrastructure to remain competitive in the global market, focusing on projects such as the construction of toll roads and bridges, which require large volumes of precast concrete products. Accordingly, it is important to focus on the quality of suppliers so that the products meet the requirements of companies and consumers. This case study aimed to develop a proposed model for ranking suppliers, employing the Additive Ratio Assessment and Analytical Hierarchy Process. Furthermore, it examined the practical application of the proposed model in an Indonesian concrete manufacturing company. The Delphi method was employed to enhance decision-making in criteria selection, considering that it determines the reliability of the supplier ranking. The study demonstrated that the proposed method yielded a practical solution and was not sensitive to parameter changes. Sensitivity analysis can help decision-makers evaluate the resilience of the process by determining the effect of change in the primary criteria on supplier ranking. Therefore, establishing a straightforward methodology enables managers in the concrete industry to identify the most suitable supplier. Additionally, this approach assists managers in categorizing intricate decision-making challenges into straightforward methodologies. The study provides managers in the Indonesian concrete industry with a thorough understanding of the variables that must be assessed when selecting suppliers.
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Authors and Affiliations

Agus RISTONO
Tri WAHYUNINGSIH
Gunawan MADYNO PUTRO
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Abstract

The study employs a bibliometric approach, analyzing global literature from the Scopus database related to user acceptance based on emotional responses to products. Initially, 749 documents were identified, narrowed down to 378 final-stage journal articles published in English. The data collected comprises information from the last 10 years (2013–2023). These were analyzed using Vos Viewer for bibliometric network visualization and R-biblioshiny for additional analysis. The research, conducted in November 2023, used the following specific search strings (TITLE-ABS-KEY (“Emotional response”) AND TITLE-ABS-KEY (product* OR device*) AND TITLE-ABS-KEY (measur* OR assess* OR evaluat*)). The study highlights the increasing research on emotional responses to products, with a 9.6% annual growth in publications. While the USA, UK, Spain, and Australia lead in this field. Five topic clusters identified involve emotional response measurement, behavior related to product acceptability, the user of the product, behavioral symptoms, and emotion psychology. Emerging areas include consumer goods and product design, with a future focus on physiological assessment, emotional reaction’s impact on design, and consumer purchase intentions. Density visualization suggests further exploration in wearable technology, purchase intentions, and emotional response measurements like electroencephalography, electromyography, electrophysiology, facial expression, and skin conductance.
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Authors and Affiliations

Lina Dianati FATHIMAHHAYATI
Fitri TRAPSILAWATI
Ardiyanto ARDIYANTO
Herianto HERIANTO
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Abstract

The aim of this article is to analyze and describe the relation between implemented new technologies and achieved effects of digital transformation process of the supply chains (DSC). The presented research covers seven technologies and solutions used for DSC, as compared with eleven effects of transformation process. Main finding of this paper is that for DSC transformation the most important technologies are synchronized scheduling (with mean of 3.993 in five-point scale) and flexible and dynamic order processing (mean of 3.986). Further more, both technologies showed highest correlations with the effects of DSC transformation process. Moreover, based on the results of factor analysis, we claim that only a decisive and comprehensive introduction of technologies related to the digital transformation of supply chains can give positive effects, while a partial implementation of DSC technologies may even worsen the company’s results. The presented research allows for a better understanding of the context that determines DSC transformation, especially in the case of applied technologies and achieved effects of operations, as well as complex interdependencies between analyzed items of each variable. The results can provide foundations for digital transformation strategy of supply chains.
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Authors and Affiliations

Paweł Mielcarek
Anna Piekarczyk
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Abstract

The current study is aimed at manufacturing milk fabric using casein, a protein derived from the discarded milk. It is a sustainable procedure of converting waste materials into useful textiles. The study is further extended to assess the moisture management properties of prepared casein fabric following test procedure (AATCC-195 (2011). The use of casein fibers offers a promising way of waste reduction and depicts the environmental responsibility of textile manufacturers who seek out innovative and sustainable solutions. The results showed that casein fiber revealed very good moisture transmission behavior and it wicked away the moisture from the skin. This characteristic made the fabric maintain a dry and comfortable environment for the wearer thus making it suitable for various textile applications. The result of this study leads to further investigation of sustainable materials in the textile industry and can pave the path for a wide range of end uses for casein fibers.
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Authors and Affiliations

Mehreen IJAZ
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Abstract

Change order is the main factor of labor productivity decline in small scale electrical projects in the United States due to presence variables. Preliminary research on labor productivity in Malaysian infrastructure projects with six latent variables using SEM has been conducted on small projects, such as electricity and infrastructure. Therefore, this research aimed to determine the impact of change orders on large and small scale projects of labor productivity in Indonesia. Data were collected through interviews and questionnaires distribution with a return rate of 700 respondents. The collected data were processed using factor analysis and SEM. The result showed that the impact of change orders on the decline in labor productivity in Indonesia led to four latent variables with 15 indicators.
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Authors and Affiliations

Mega WATY
Hendrik SULISTIO
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Abstract

The article is a case study on improving the production process of refractory products, where the results of the visual inspection processes of the tested product were used to initiate the improvement. The article presents a systemic process approach to measurement problems and its application using a 3D camera in the refractory industry. The article presents the analysis of the nonconformity structure of the tested product, based on which critical nonconformities were identified and corrective actions were initiated. Special attention was paid to the importance of metrological control (quality control plan) over the process of manufactured products. The requirements for measuring equipment according to quality standards were presented and the principles of their effective use in real conditions were discussed. The analyses carried out have shown that by analysing the results of quality control it is possible to reduce the occurrence of quality problems and thus improve the production process. The originality of the research lies in the identification of significant differences in the quality aspects of products. Research results can contribute to more effective and coherent development activities to achieve a stable and competitive advantage in the market by improving the quality and environmental performance of products. The research results and the conclusions drawn from them can be used by scientists and practitioners to shape the target states of companies in a period of growing commitment to the idea of sustainable production.
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Authors and Affiliations

Mariusz Niekurzak
Ewa Kubińska-Jabcoń
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Abstract

A comprehensive review of the extant literature on ISO Management System (IMS) standards certified companies conceded into major business performance improvement factors and elements. The worldwide activities of ISO Development of International Standards Total as of the end of December 2023 are 25111 International Standards and standards-type documents. ISO population data files for the years 2018, 2019, 2020, and 2021) show the standards used for certification in Pakistan besides world ISO population data. In 2023, a total of 1,465 International Standards and standards-type documents were published. Due to space limitations in the research paper, only one data file is attached to this paper. The most popular and populous standard among all is the ISO 9000 Quality Management System (QMS) standards adopted in Pakistan. The identified factors and elements /items were reviewed and converted into criteria set and framework. The analysis of this secondary experiential data shows that IMS standards certification improves the businesses’ performance. A survey questionnaire was designed on these business performance improvement factors and elements and pilot-tested to establish its ‘Reliability and Validity’. This questionnaire was used to collect national primary empirical data from both IMS standards-certified and non-certified businesses in all chambers of commerce and industry in Pakistan, including women’s chambers. The analysis of this national primary empirical data also shows an impact of IMS standards certification on businesses’ performance. Hence, it supports the results of secondary ISO experiential data analysis. Also, in comparative performance analysis, the IMS standards certified businesses outperformed the non-certified businesses. The IMS standards certification contributes to the prosperity, sustainability, technical, managerial, financial, Operational, communication, social, and environmental improvement, etc. of the businesses, thus increasing the national GDP. This improvement trend ultimately helps in attaining SDG goals set by the UN for all nations.
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Authors and Affiliations

Nawar KHAN
Muhammad Bila MIRZA
Ashiq ALI
Muhammad Junaid IQBAL
Tasweer Hussain Syed
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Abstract

Although there is a growing body of evidence supporting the significance of servant leadership as a basic component in shaping the execution of TQM practices, the research has not fully examined the framework associated with servant leadership in terms of “customer focus, people management, process management, strategic planning, information and analysis” in general and in the information technology industry. Therefore, the authors conducted this empirical research examining the associations among servant leadership and the abovementioned TQM practices in the information technology industry. This empirical study also examined the mediating role of interfunctional coordination in TQM practices in the context of servant leadership. We gathered data from 335 leaders in 57 software companies in the information technology industry with at least a capability maturity model (CMM) level 3 to CMM5 companies providing software development and services. The data were collected from team leaders, project heads, project managers, lead testers, and higher-level managers of the marketing and operations management area. We investigated how servant leadership interacts with the application of these five TQM practice components and the mediating role of the interfunctional coordination construct in this interaction. To accomplish this goal, we empirically investigated a structural model and mediation models by bootstrapping and SEM with IBM AMOS (IBM, 2023). The model fit indices CMIN/DF 1.724, CFI 0.953, TLI 0.938, NFI 0.920, SRMR 0.049, RMSEA 0.049, and PCl close 0.624 indicate excellent model fit, and further investigation was carried out. The findings showed that putting TQM practices into practice was positively and directly correlated with servant leadership. Interfunctional coordination partially mediates TQM practices through servant leadership, with a positive association. The results confirm the influence of servant leadership on TQM practices in the information technology industry.
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Authors and Affiliations

KDV PRASAD
Sri Yogi KOTTALA
Shyamsunder CHITTA
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Abstract

The current technical and technological development of human civilization is referred to as Industrial Revolution 4.0 (IR 4.0). This is a consequence of the changes that have occurred in the ways of producing goods and providing services over the centuries. When referred to an enterprise, it can be defined as the concept of smart and digital creation of its value chain. In the article based on the concept of M.E. Porter, an analysis has been made of the changes that are taking place and may take place and on their impact on the competitiveness of the company as the result of the application of inventions such as the Internet of things, big data, cloud computing, artificial intelligence, block chain, cyber-physical systems, 3D printing, autonomous vehicles, augmented reality, digital twin and nanotechnology. The article is of the theoretical and conceptual nature and is based on the desk research method. The result of the research has been the formulation of a new competitiveness paradigm, which, in contrast to the traditional one, assumes the possibility of simultaneous implementation of three strategies, i.e. low costs, high quality and market niche. Companies capable of implementing the strategies may gain a significant competitive advantage.
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Authors and Affiliations

Jan Rymarczyk
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Abstract

The paper maps the evaluation of ergonomic risks in Czech processing industry enterprises. In today’s dynamic times, the main challenge is to retain quality employees and focus on them. Safety and health protection at work and monitoring and evaluation of ergonomic risks at the workplace are related to employee care. The paper summarizes the results of a nationwide questionnaire survey of the manufacturing industry in the Czech Republic. The obtained data was evaluated by using basic descriptive statistics. Nonparametric statistical analysis (Fisher’s exact test) confirmed or excluded hypotheses. The performed analysis shows that the use of ergonomic risk methods does not statistically depend on the type and size of the enterprises. It is further evident from the research results that Czech enterprises should monitor ergonomic risks more.
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Authors and Affiliations

Eva HOKE
Romana HEINZOVÁ
Petr VESELÍK
Michaela MARTINKOVÁ
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Abstract

The impact of COVID- 19 has had a significant and multifaceted effect on the hospitality sector, which is closely intertwined with numerous digital platforms and the SE. The dissemination of data from online platforms will be instrumental in determining the distribution of the benefits derived from the value created by the digital economy to the broader society. The objective of this paper is to examine the impact of the COVID-19 on various initiatives within the SE in the service industry. This paper examines the extent of interest among the general public in utilising contemporary digital platforms. The methodology employed in this study comprises the following: a questionnaire, desk research, and the utilisation of statistical tools. The results demonstrate that COVID-19 has precipitated significant shifts in consumer attitudes and behaviours, with these changes exhibiting a more nuanced impact than previously assumed. The findings indicate that the service industry’s trajectory in the SE is characterised by a positive trajectory. The data-driven approach reflects the dynamism ofSE innovation, which is both disruptive and socially oriented. This contribution serves as a crucial foundation for companies seeking to advance theirSE business models.
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Authors and Affiliations

Patrycja Żegleń
Aldona Kluczek
Kristína ŠAMBRONSKÁ
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Abstract

Technical and vocational education and training (TVET) plays a pivotal role in preparing individuals for the workforce, equipping them with the specific skills demanded by industries. This paper introduces a methodology aimed at diagnosing the primary elements of Operations Management (OM) essential for the development of TVET activities. The proposed methodol ogy is structured into three key stages using institutional documents, focus group and surveys as data collection approaches. Firstly, it involves characterizing the TVET institution under consideration. Secondly, it encompasses the delineation of supporting operations crucial for the development of TVET activities within the chosen case study context. Finally, it offers a methodology for discerning the principal perceptions and expectations of both learners and trainers regarding the supporting technical learning activities. Elements such as planning, preparation, manufacturing processes, and warehouse management emerged with a perceived high impact on supporting these training activities. Conversely, factors such as location and environmental conditions exhibited a comparatively lower perceived impact within the case study.
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Authors and Affiliations

Henry L. RAMIREZ-GUTIERREZ
Cristian G. GÓMEZ-MARIN
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Abstract

In the context of Kazakhstan’s economic digitalisation, increasing economic efficiency is a top priority. Digitalisation enhances enterprises’ financial stability and decision-making speed. This is particularly vital for mining enterprises, a key focus of the “Digital Kazakhstan” state program. This study aims to develop strategies to boost economic efficiency by analysing its essence and evaluating mining enterprises in East Kazakhstan. The methods used in the research include statistical analysis, comparison, structural and logical analysis, and synthesis. The results include determining the essence of economic efficiency, evaluating the dynamics of industrial production indices, production volume, and structure, and assessing economic efficiency indicators of mining enterprises. Five key areas affecting economic efficiency were identified: technology, material resources, management, labour resources, and the general system. The introduction of Big Data digital technology is suggested for each area to significantly enhance efficiency.
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Authors and Affiliations

Zhandos Ospanov
Saule Dossanova
Sayora Tadjieva
Aigul Maidyrova
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Abstract

Risk is an issue of interdisciplinary character and accompanies all actions undertaken in companies, e.g. projects. Identification and assessment of risk is an important issue, but at the same time it is particularly difficult in actions of unique character such as projects. This article identifies exogenous and endogenous risk factors that affect successful project implementation. Six risk-generating areas were defined to identify and assess ex-ante risks in the project: project environment, client and contract, suppliers, organization maturity and a project team. Each one of them was assigned analytical criteria and a method for their assessment. Empirical verification was made based on an example of a manufacturing process. The proposed method is a support for project managers in a process of decision-making and for actions undertaken by managers aimed at reduction of risk in a project, especially at a stage of its preparation.
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Authors and Affiliations

Ewa KOZIEŃ

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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.
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The material formatted in the MPER format must be unpublished and not under submission elsewhere.

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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).
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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.
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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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