Management and Production Engineering Review

Zawartość

Management and Production Engineering Review | 2025 | No 1

Abstrakt

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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Autorzy i Afiliacje

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

Abstrakt

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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Autorzy i Afiliacje

Magdalena HRYB
Michał PAWLACZYK
Jiehan Zhou
Joanna MAJCHRZAK

Abstrakt

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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Autorzy i Afiliacje

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

Abstrakt

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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Autorzy i Afiliacje

Ewa Więcek-Janka
ORCID: ORCID
Natalia CHOCHOŁOWSKA
Weronika ZARÓWNA

Abstrakt

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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Autorzy i Afiliacje

Marta Grabowska
Paweł Majcher
Łukasz Syska

Abstrakt

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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Autorzy i Afiliacje

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

Abstrakt

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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Autorzy i Afiliacje

Andri ZAINAL
Haikal Rahman
Pasca Dwi Putra
Khairunnisa Harahap
Roza Thohiri

Abstrakt

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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Autorzy i Afiliacje

Housseyn Amin KAHOUADJI
Fayçal BELKAID

Abstrakt

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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Autorzy i Afiliacje

Radka VANÍCKOVÁ

Abstrakt

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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Autorzy i Afiliacje

Miriam PEKARCIKOVA
Peter Trebuna
Jana KRONOVA
Marek Kliment

Abstrakt

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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Autorzy i Afiliacje

Selamat W. HIA
Moses LAKSONO SINGGIH

Abstrakt

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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Autorzy i Afiliacje

Lyubomyr Sozanskyy
ORCID: ORCID

Abstrakt

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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Autorzy i Afiliacje

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

Abstrakt

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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Autorzy i Afiliacje

Janak SUTHAR
Vinod G. SURANGE
Shivagond TELI

Instrukcja dla autorów

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They 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 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 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 - 12 months

Dodatkowe informacje

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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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.
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Procedura recenzowania

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

Recenzenci

Name Surname Affiliation Hind Ali University of Technology, Iraq Katarzyna Antosz Rzeszow University of Technology, Poland Bagus Arthaya Mechatronics Engineering Universitas Parahyangan, Indonesia Sarini Azizan Australian National University, Australia Zbigniew Banaszak Management and Computer Science, Koszalin University of Technology, Poland Lucia Bednarova Technical University of Kosice, Slovak Republic Kamila Borsekova UNIVERZITA MATEJA BELA V BANSKEJ BYSTRICI, Slovak Republic RACHID Boutarfa Hassan First University, Morocco Anna Burduk Wrocław University of Science and Technology, Poland Virginia Casey Universidad Nacional de Rosario, Argentina Claudiu Cicea Bucharest University of Economic Studies Romania, Romania Ömer Cora Karadeniz Technical University, Turkey Wiesław Danielak Uniwersytet Zielonogórski, Poland" Jacek Diakun Poznan University of Technology, Poland Ewa Dostatni Poznan University of Technology, Poland Marek Dźwiarek Milan Edl University of West Bohemia, Czech Republic Joanna Ejdys Bialystok University of Technology, Poland Abdellah El barkany Sidi Mohamed Ben Abdellah University Faculty of Science and Technology of Fez, Morocco Francesco Facchini Università degli Studi di Bari, Italy Mária Magdolna Farkasné Fekete Szent István University, Hungary Çetin Fatih Başkent Üniversitesi, Turkey Mose Gallo Materials and Industrial Production Engineering, University of Napoli Federico, Italy Mit Gandhi Gujarat Gas Limited, India Józef Gawlik Cracow University of Technology, Institut of Production Engineering, Poland Andrzej Gessner Politechnika Poznańska, Poland Pedro Glass Universitatea Valahia din Targoviste, Romania Arkadiusz Gola Lublin University of Technology, Faculty of Mechanical Engineering, Poland Alireza Goli Department of industrial engineering, Yazd university, Yazd, Iran Iran, Iran Magdalena Graczyk-Kucharska Politechnika Poznańska, Poland Damian Grajewski Poznan University of Technology, Poland Łukasz Grudzień Production Engineering Department, Poznan University of Technology, Poland Patrik Grznár University of Žilina, Slovak Republic" Anouar Hallioui INTI International University, Malaysia Ali HAMIDOGLU Adam Hamrol Mechanical Engineering, Poznan University of Technology, Poland ni luh putu hariastuti itats, Indonesia Christian Harito Bina Nusantara University, Indonesia Muatazz Hazza "Mechanical and Industrial Engineering Department; School of Engineering. American University of Ras Al Khaimah. United Arab Emirates, United Arab Emirates" Ali Jaboob Dhofar University, Oman Małgorzata Jasiulewicz-Kaczmarek Poznan University of Technology, Poland Oláh Judit University of Debrecen, Hungary Jan Klimek Szkoła Główna Handlowa, Poland Nataliia Klymenko National University of Life and Environmental Sciences of Ukraine, Ukraine Peter Kostal Slovenská Technická Univerzita V Bratislave, Slovak Republic Martin Krajčovič University of Žilina, Slovak Republic Robert Kucęba Wydział Zarządzania, Politechnika Częstochowska, Poland Agnieszka Kujawińska Poznan University of Technology Edyta Kulej-Dudek Politechnika Częstochowska, Poland Sławomir Kłos Institute of Mechanical Engineering, University of Zielona Góra, Poland Christian Landschützer Graz University of Technology, Austria Anna Lewandowska-Ciszek Department of Logistics, Poznań University of Economics and Business, Poland Damjan Maletič University of Maribor, Faculty of Organizational Sciences, Slovenia Marcela Malindzakova Technical University, Slovak Republic Józef Matuszek Janusz MLECZKO Rami Mokao MIS - Management Information Systems, HIAST, Syria Maria Elena Nenni University of Naples, Italy Nor Hasrul Akhmal Ngadiman School of Mechanical Engineering, Universiti Teknologi Malaysia, Malaysia Dinh Son Nguyen The University of Danang, University of Science and Technology, Viet Nam Duc Duy Nguyen Department of Industrial Systems Engineering,
Ho Chi Minh Technology University (HCMUT), Viet Nam Filscha Nurprihatin Sampoerna University, Indonesia Filip Osiński Poznan University of Technology Ivan Pavlenko Department of General Mechanics and Machine Dynamics, Sumy State University, Ukraine Robert Perkin BorgWarner, United States Alin Pop University of Oradea, Romania Ravipudi Venkata Rao "Department of Mechanical Engineering S. V. National Institute of Technology, Surat, India" Marta Rinaldi University of Campania, Italy Michał Rogalewicz Division of Production Engineering, Institute of Materials Technology, Faculty of Mechanical Engineering, Poznan University of Technology, Poland David Romero Tecnológico de Monterrey, Mexico ELMADANI SAAD Hassan First university of Settat, Morocco Krzysztof Santarek Faculty of Mechanical and Industrial Engineering, Warsaw University of Technology, Poland shankar sehgal Panjab University Chandigarh, India Robert Sika Faculty of Mechanical Engineering and Management, Institute of Materials Technology, Poland Chansiri Singhtaun Department of Industrial Engineering, Faculty of Engineering, Kasetsart University, Thailand Bożena Skołud Silesian University of Technology, Poland Lucjan Sobiesław Jagiellonian University, Poland Fabiana TORNESE University of Salento, Italy Stefan Trzcielinski Poznan University of Technology, Poland Amit Kumar Tyagi Centre for Advanced Data Science, India Cang Vo Binh Duong University, Viet Nam Jaroslav Vrchota University of South Bohemia České Budějovice, Faculty of Economics, Department of Management, Studentská, 370 05 České Budějovice, Czech Republic Radosław Wichniarek Poznan University of Technology, Poland Ewa Więcek-Janka Wydział Inżynierii Zarządzania, Politechnika Poznańska, Poland Josef Zajac Uniwersytet Techniczny w Koszycach, Slovak Republic Aurora Zen Universidade Federal do Rio Grande do Sul, Brazil

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