Management and Production Engineering Review

Content

Management and Production Engineering Review | 2025 | Vol. 16 | No 2

Download PDF Download RIS Download Bibtex

Abstract

Artificial Intelligence (AI) has recently gained significant traction in the oil and gas manufac turing sector. This study focuses specifically on the oil and gas manufacturing sector. As a key technology, AI has the potential to revolutionize smart manufacturing and the fourth industrial revolution (Industry 4.0). Product Lifecycle Management (PLM) is integral in managing engineering, business, and operational processes for products throughout their lifecycle. By leveraging AI, companies can enhance decision-making processes that align with economic and environmental considerations. This study investigates AI’s role in the design phase of PLM within the oil and gas sector. The objective is to evaluate AI’s benefits in design optimization and its influence on decision-making. A Delphi-based survey was conducted among 62 experts from multinational oil and gas firms. The findings indicate that AI significantly improves design efficiency, visualization, and prototyping. However, the study highlights integration challenges, data security concerns, and limitations in current industrial communication proto cols. Further research should explore AI’s role in the remaining PLM phases and its integration with existing IT infrastructures. Future research should extend to the remaining phases of PLM not covered in this study and address limitations such as integration with existing IT systems and improvements in industrial communication protocols.
Go to article

Authors and Affiliations

Kamal JAAFAR
Omar OWAIS
Download PDF Download RIS Download Bibtex

Abstract

Effective supply chain management is essential for business success and continuity. A key component of this management is supplier evaluation, which plays a vital role in mitigating logistical risks, optimizing value, and fostering long-term, mutually beneficial relationships within the supply chain. Although extensive research has been conducted, significant gaps re main in addressing sustainable supply chain risks and integrating them into supplier assessment frameworks. This study addresses this gap by proposing an integrated approach for evaluating and managing supplier-related logistics risks. The approach combines the Best-Worst Method (BWM) to assign relative weights to various sustainable supply chain risks with the fuzzy TOPSIS method to rank suppliers based on their risk profiles. A focus group is used to identify appropriate strategies to mitigate the identified risks. To demonstrate the practicality and effectiveness of the proposed framework, a real-world case study involving a multinational automotive company is presented. The results indicate that two specific suppliers require immediate attention and targeted risk mitigation strategies. This research provides supply chain managers with a robust evaluation methodology and actionable insights for improving supplier risk management in the automotive sector.
Go to article

Authors and Affiliations

Nabil KAYOUH
Btissam DKHISSI
Download PDF Download RIS Download Bibtex

Abstract

The rise of end-of-life vehicles (ELVs) in Malaysia highlights the urgent need for a sustain able recovery industry centered on reuse, recycling, and remanufacturing. Ineffective ELV management exacerbates waste generation, adversely affecting Sustainable Development Goal (SDG) 12 on responsible consumption and production. This study evaluated the current state of ELV reuse, recycling, and remanufacturing in Malaysia by selecting ten companies and employing a qualitative approach. Data were gathered through semi-structured interviews with industry stakeholders, supported by qualitative content analysis conducted in collaboration with a research team of industry experts. Responses were triangulated with direct observations during site visits. Key enablers for a sustainable framework were identified, including design strategies, adequate facilities, skilled labour, and efficient processes. The findings culminated in a sustainable ELV recovery framework emphasizing operational and stakeholder-driven perspectives. This framework is a roadmap for policymakers and industry players to align with regional sustainability goals.
Go to article

Authors and Affiliations

Noraini ABDUL MALEK
Dzuraidah ABD WAHAB
Zambri HARUN
Nurhasyimah ABD AZIZ
Abdul Hadi AZMAN
Mohd Radzi ABU MANSOR
Download PDF Download RIS Download Bibtex

Abstract

The objective of the study is to create a product-service system (PSS) innovative framework that aligns with a case company’s strategy, competencies, and strengths. First, this study shows that the case company’s Design Thinking Macro process and PSS fundamentals might serve as the foundation of a suitable PSS innovative framework for the company’s upcoming service. Second, it serves as a descriptive stat-of-the-art study– the study investigates the case company’s innovation potential and potential for controlling hazards in the direction of servitization. The study aims to understand the current state of the case company and assist it in becoming a more flexible PSS supplier. The results show that the case company is committed to advance a cross-organizational development plan to strengthen its PSSs to capitalize in servitization. Because of its end-to-end capabilities, scientific innovation, and value-adding products that have a tangible component of value, the company’s product portfolio is well-positioned in terms of servitization.
Go to article

Authors and Affiliations

Ahm Shamsuzzoha
Tuukka TEPPOLA
Sujan PIYA
Mohammad KHADEM
Mohammad SHAMSUZZAMAN
Download PDF Download RIS Download Bibtex

Abstract

Based on operational parameters such as feed rate and cutting distance, efficient plasma cutting operations are verified when the items’ dimensions match the projected values. However, acceptable feed rate and cutting distance values are often difficult to verify in scientific articles, catalogs, and manuals. Thus, the main objective of this research is to define acceptable cutting distance and feed rate values for sheet metal plasma cutting. The simulation was developed with the definition of operational parameters values based on the HyperthermR machine, followed by instances characterization, speed dimensional quality variation, distance dimensional quality variation, and cutting layout generation using a bottom-left-fill heuristic combined with tabu search. A cutting distance of 2.8 mm and a feed rate of 2477 mm/min are recommended for SAE 1020 steel, considering a 5 mm thickness, 1.1 mm kerf width, and oxygen gas.
Go to article

Authors and Affiliations

Alvaro NEUENFELDT JÚNIOR
Matheus FRANCESCATTO
Gabriel STIELER
Diego dos SANTOS
Luis SAUCEDO
Download PDF Download RIS Download Bibtex

Abstract

A dynamic business environment presents a high degree of uncertainty for the evolving world. This calls for new business practices. Organisations’ supply chain management must address disruptions and uncertainties arising from globalisation. The study’s major objectives were to understand the role of supply chain practices in moderating the influence of supply chain disruptions on supply chain performance and environmental uncertainty on supply chain performance. This research is set in the context of two South Indian states, which account for 94% of India’s coir manufacturing and export. Partial least squares-based structural equation modelling was used to test the hypotheses in the work. The moderating effect of supply chain practice on the relationship between environmental uncertainty, supply chain disruptions, and supply chain performance has not been confirmed. Hence, this finding calls for adopting disruption-resilient practices in the supply chain management by organisations to stay competitive in an evolving world and an environment of uncertainty.
Go to article

Authors and Affiliations

Nisa James
Roji GEORGE
Maciej BIELECKI
Robert JEYAKUMAR NATHAN
Download PDF Download RIS Download Bibtex

Abstract

This paper proposes a tool that simplifies the methodology for supply chain analysis in small and medium-sized enterprises. This approach is based on a compilation of methodologies and performance indicators obtained through an empirical literature review and is followed by the development of the proposed tool. The evaluation instrument was validated through an expert judgment process and quantified by Aiken’s V coefficient, with favorable results. A survey was conducted with a sample of twenty local companies in Cuenca, Ecuador, to assess the tool’s performance across different productive sectors. The results indicate that the majority of the businesses studied manage functional products and possess routinized supply chains with a low degree of focal firm influence. Additionally, opportunities for improvement in their management are identified, with the least-controlled components being production and procurement.
Go to article

Authors and Affiliations

Jorge Andrés ORELLANA-MITTE
Jonnatan Fernando AVILÉS-GONZÁLEZ
Julio MOSQUERA-GUTIERRES
Download PDF Download RIS Download Bibtex

Abstract

This article shows a systematic approach for raw material scrap control in a Brazilian metalmechanical industry using quality management tools, divided into three stages. First, the scrap reasons were identified using the failure mode and effects analysis. Subsequently, the identified raw material scrap reasons were evaluated and electronically grouped. Lastly, one workflow process and three rework flow actions were developed to minimize raw material scraps. A metal-mechanical industry able to manufacture items for agricultural and automotive parts was explored. A total of 223 raw material scrap reasons were identified, being related to stamping, welding, assembly, and painting processes, grouped into 82 raw material scrap reasons. Before the systematic approach implementation, without grouping raw material scrap reasons, 56% of scraps were categorized as unspecified reasons. After the systematic approach implementation, unspecified reasons decreased to 11.73%, reducing the total cost with unspecified reasons by approximately $55,000.00 in four months.
Go to article

Authors and Affiliations

Flávia dos SANTOS
Alvaro NEUENFELDT JÚNIOR
Matheus Francescatto
Milton MANDLHATE
Jonathan VIEIRA
Download PDF Download RIS Download Bibtex

Abstract

Composites are used in many areas of the economy, especially in transport and green energy production. As a consequence, a large amount of composite waste is generated, which is difficult to recycle. In this study, an attempt was made to use the simplest and cheapest mechanical method to process post-consumer and post-production waste of coloured polyester and glass polyester composite, respectively. Composites were prepared by injection moulding, adding ground unsaturated polyester with glass fibre to shredded poly(ethylene terephthalate) (rPET). The effect of adding the glass polyester recyclate on selected mechanical (tensile and impact strength), thermal (using differential scanning calorimetry), surface (contact angle), and structural properties (using the Fourier infrared spectroscopy and optical microscopy) was determined. The research has demonstrated that it is possible to obtain in a simple way high quality, aesthetically pleasing and weather resistant landscaping products, such as fences and road posts, litter bins, benches, etc., from post-consumer coloured PET bottles and post-production waste glass polyester composites. Nevertheless, in order to obtain composites with better mechanical properties, the recyclates used need to undergo additional processing, e.g. by adding compatibilisers.
Go to article

Authors and Affiliations

Joanna BRZESKA
Mariola JASTRZĘBSKA
Magda MORAWSKA
Maciej SIENKIEWICZ
Download PDF Download RIS Download Bibtex

Abstract

Sustainable development is constructed based on the understanding that conflicts between the economy and the environment can be overcome if it is organized in such a way that production activities would not cause adverse impacts on the environment. The objectives of this research are 1) to identify the relationship between green product innovation, environmental performance, market advantage, and financial performance, 2) to study whether green product innovation and environmental performance can improve financial performance through market advantage. This research was conducted by taking the case of the largest transportation and logistics company in Indonesia. Primary data were processed using SEM-PLS. The results of this research showed that the green product innovation policy could improve environmental performance, but could not improve financial performance simultaneously. Green product innovation could not significantly improve market advantage and financial performance. However, market advantage could significantly encourage the improvement of financial performance.
Go to article

Authors and Affiliations

Niken SULISTYOWATI
Fitria VIRGANTARI
Arrum AULIARACHMAH
Salachudin EMIR
Download PDF Download RIS Download Bibtex

Abstract

This study aims to apply the Lean Six Sigma methodology to reduce defect rates at a mooncake production company. The study reveals that the highest defect rate, recorded at 3.78%, occurred during the semi-finished product shaping stage. The research uses the Pareto chart to analyse the causes of the defects, while the Delphi method and cause-and-effect diagrams are applied to identify the root causes of the primary defects. To enhance the process, the research team adjust the technical specifications of the shaping mould and employ a t-test to evaluate the statistical significance of the improvement results. As a result, the defect rate was significantly reduced from 3.78% to 3.12%. This improvement leads to an increase in the Sigma level from 3.28 to 3.36, resulting in annual cost savings of USD 6,018 for the company. Looking ahead, the DMAIC methodology can be further applied to address other defect rates within the mooncake production process.
Go to article

Authors and Affiliations

Nguyen Khac HIEU
Nguyen Thi Anh VAN
Duan KHUU
Thi My Hanh NGUYEN
Download PDF Download RIS Download Bibtex

Abstract

Understanding customer needs is a crucial task in designing a product. An improper definition of customer requirements affects the product’s design, reducing the product’s quality, and ultimately reducing customer satisfaction. This paper aims to address this issue by developing a QFD-FAHP model to study customer needs and select the best product that satisfies those needs. Customer requirements are identified and then evaluated using FAHP, based on customer evaluations after a survey is conducted. The technical requirements that address those requirements are then identified, and QFD is applied, building the HOQ to prioritize the technical characteristics, and the alternatives are ranked using AHP. The proposed model is validated through a case study conducted at a car manufacturing company. The findings of this study confirm and prove the efficiency of the proposed model in studying customer needs and delivering a product of quality that satisfies those needs.
Go to article

Authors and Affiliations

Marouane ZAIZOUNE
Brahim HERROU
Download PDF Download RIS Download Bibtex

Abstract

The study aimed to develop a procedure based on the QC-LCA indicator to support productdevelopment decisions at the early design stages. The procedure guides the creation and evaluation of product prototypes by generating alternative design solutions during the design or improvement phase. It follows a five-step methodological framework that prospectively assesses: i) prototype quality, ii) life-cycle environmental impact (LCA), and iii) production costs. The procedure employs several techniques, e.g. the TOPSIS method, brainstorming (BM), the 7±2 rule, and ISO 14040. Results from the main stages produce quality, cost, and environmental indicators, which are then aggregated into the QC-LCA indicator. This indicator forms the basis for ranking the product prototypes.
Go to article

Authors and Affiliations

Dominika Siwiec
ORCID: ORCID
Andrzej Pacana
ORCID: ORCID
Download PDF Download RIS Download Bibtex

Abstract

Companies aim to stay competitive while ensuring that subcontracting networks play a key role. This study examines multinational subcontractors to identify factors affecting competitiveness, comparing countries with different income levels. Salary costs are generally expected to directly impact product prices. The study’s goal is to find measures that highlight development targets and methods to improve productivity for both customers and subcontractors. In addition to component price, the research examines service delivery and quality indicators that influence the customer’s competitiveness. Profitability depends on identifying development areas that impact overall competitiveness. However, deficiencies in the production engineering development activities of the subcontractors were found, which could have improved their competitiveness. Results also showed that the primary factor influencing the customer’s purchasing decision was component price, often leading to orders being placed outside Finland, due to lower costs. This underscores the need for subcontractors to focus on total overall productivity to maintain a competitive advantage in global markets.
Go to article

Authors and Affiliations

Juha LEHTIMÄKI
Mikael Ollikainen
Vesa Salminen
Juha Varis

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

Template for Authors





Additional info

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

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

This page uses 'cookies'. Learn more