Wyniki wyszukiwania - BazTech

1

XR technology in manufacturing – exploring of practical applications

Tomaszewska Klaudia

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2025

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z. 217

573--592

EN

Purpose: The purpose of this paper is to provide a comprehensive analysis of the practical applications of Extended Reality (XR) technologies in the manufacturing industry, aiming to identify both internal and external factors that facilitate and inhibit XR implementation. Design/methodology/approach: The study used a multi-step approach, starting with an extensive literature review covering the latest publications, technology reports and case studies from reputable databases (Scopus, Web of Science, Semantic Scholar) and sources from 2019-2024. The literature review focused on key trends, benefits, challenges, and practical implementations of technology XR in manufacturing. Following this, two complementary analyses - STEEPVL and SWOT - were conducted to examine social, technological, economic, environmental, political, value-based, and legal factors. These methodologies were chosen to provide a comprehensive understanding of the multi-dimensional factors influencing XR implementation. Findings: This study's primary finding is that XR technology has substantial potential to increase productivity and drive innovation within the manufacturing industry. XR optimizes production processes, enhances training and safety, and supports diagnostics, making enterprises more competitive and flexible. However, its implementation also presents significant challenges, including high initial costs, the need for ongoing personnel training, and the risk of rapid obsolescence. Additionally, external factors, such as legal and regulatory constraints and public acceptance, are critical, as they shape both the pace and scale of XR technology's adoption across different regions. Research limitations/implications: Although XR technology has diverse applications across various sectors, this study focuses specifically on its use in manufacturing, which limits the generalizability of the findings. Additionally, despite using defined criteria for selecting and classifying factors within the STEEPVL and SWOT frameworks, some subjectivity remains due to the reliance on expert predictions and opinions. These findings reflect the current state of the technology; as XR advances, future assessments of its impact may evolve significantly. Originality/value: The originality of this study lies in the combination of STEEPVL and SWOT analysis, offering a cross-disciplinary perspective on XR technologies in manufacturing. This approach facilitates a more detailed examination of the factors influencing XR adoption, while the classification of factors as current or potential provides a dynamic, time-sensitive understanding that can better inform industry stakeholders and decision makers.

2

Artificial intelligence in manufacturing - systematic literature review

Tarasiuk Wojciech, Halicka Katarzyna

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2025

|

z. 215

677--701

EN

Purpose: The purpose of this paper is to explore the current state of research on artificial intelligence in manufacturing. The paper aims to identify key trends, leading authors, institutions and research topics, as well as to identify the main areas of scientific interest in this field. Design/methodology/approach: The research objectives were achieved by using a systematic literature review and bibliometric analysis. The study used Web of Science and Scopus databases, where searches were conducted according to specific keywords and inclusion criteria, such as document type, language and publication time range (2015-2024). The collected data was then analyzed for the distribution of documents by type, year of publication, country, institution, author, and co-occurrence of keywords, which made it possible to extract major thematic clusters and research trends. Findings: The analysis revealed five thematic clusters representing key research areas, alongside a rapid growth in publications from 2019, particularly in countries such as China, the United States, and India. These findings highlight an increasing global focus on AI's application in manufacturing. Originality/value: This article offers a comprehensive and up-to-date analysis of research on artificial intelligence in manufacturing, covering publications up to 2024. By identifying five key thematic clusters, it provides unique insights that will benefit researchers, industry practitioners, and decision-makers aiming to integrate AI into manufacturing processes. The study provides a better understanding of research trends and developments in the field, making it a valuable resource for researchers, industrial practitioners and decision makers interested in integrating AI into manufacturing processes.

3

Safety culture in focus: comparing employee perceptions across small and medium-sized manufacturing SMEs in South Africa

Raditsela Reagile, Sharp Kirsty-Lee, Bevan-Dye Ayesha L.

Production Engineering Archives

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2025

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Vol. 31, Iss. 2

238--246

EN

Despite progressive occupational health and safety (OHS) laws, South Africa experiences high workplace injury rates, particularly in the manufacturing sector. Compliance with health and safety standards is notably poor among small and medium manufacturing enterprises (SMEs) due to limited time and financial resources, a problem exacerbated in resource-constrained small-size manufacturing enterprises. Understanding employees’ perspectives on safety culture factors is essential to promoting a stronger safety culture within South African-based manufacturing SMEs. Therefore, this study sought to measure South African-based manufacturing SME employees’ perceptions of safety culture factors and to determine whether small-sized and medium-sized manufacturing enterprise employees differ concerning their perceptions of these safety culture factors. Data were collected from 487 South African-based manufacturing SME employees. Data analysis included descriptive statistics, reliability assessment and an independent samples t-test. Results indicate that employees’ perceptions of safety culture factors at their workplace are generally favourable. However, employees in small-sized manufacturing enterprises reported significantly less favourable perceptions of management commitment to safety, safety training, compliance and safety policies than those in medium-sized manufacturing enterprises. Improving safety culture in small-sized manufacturing enterprises requires enhancing management commitment, communication with feedback, as well as implementing cost-effective training, safety incentives and clear policies, and improving safety compliance. Strengthening these safety culture areas within small-sized manufacturing enterprises can improve safety performance, even with resource constraints.

4

Supply chain entrainment and organizational performance: a study in context of manufacturing sector

Srivastava Shefali, Dwivedi Ashish, Patil Anchal, Dubey Suchi

Polish Journal of Management Studies

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2025

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Vol. 31, No. 2

215--230

EN

The manufacturing industry is growing more complex and dynamic, demanding a deeper insight into the factors that promote synchronization and boost productivity. In this context, the emerging concept of Supply Chain Entrainment (SCE), which promotes the synchronisation and alignment of processes, activities, and flow across the supply chain, can lead to sustainable growth. This study investigates the impact of SCE on Organizational Performance (OP) within manufacturing organizations. Specifically, it examines how synchronizing measures between supply chain partners influence performance outcomes. This study employs partial least squares structural equation modeling to analyse the effects of SCE facilitators on supplier collaboration, information exchange, and process integration. Additionally, the moderating role of technology adoption on the SCE-OP interrelationship has been studied, acknowledging its crucial influence in today's rapidly evolving digital landscape. The results support a positive effect of supplier collaboration, information sharing, and process integration on SCE and underscore that these are essential factors in accomplishing a harmonized and efficient supply chain. Furthermore, the study provides a direct and meaningful relationship between SCE and OP. This highlights the strategic importance of a supply chain that has been well-entrained in the overall success of the organization. This focus on technology adoption enhances the study's relevance and offers valuable insights for managers operating in the current business environment. The findings from the study contribute valuable knowledge to academicians and industry practitioners, deepening our understanding of manufacturing supply chain dynamics and effective management strategies.

PL

Przemysł produkcyjny staje się coraz bardziej złożony i dynamiczny, co wymaga głębszego zrozumienia czynników sprzyjających synchronizacji i zwiększających wydajność. W tym kontekście pojawiająca się koncepcja synchronizacji łańcucha dostaw (SCE), która promuje synchronizację i dostosowanie procesów, działań i przepływów w całym łańcuchu dostaw, może prowadzić do zrównoważonego wzrostu. W niniejszym badaniu analizuje się wpływ SCE na wyniki organizacyjne (OP) w przedsiębiorstwach produkcyjnych. W szczególności bada się, w jaki sposób synchronizacja działań między partnerami łańcucha dostaw wpływa na wyniki. W badaniu wykorzystano modelowanie równań strukturalnych metodą najmniejszych kwadratów częściowych w celu analizy wpływu czynników sprzyjających SCE na współpracę dostawców, wymianę informacji i integrację procesów. Ponadto zbadano moderującą rolę wdrażania technologii w relacjach między SCE a OP, uznając jej kluczowy wpływ w dzisiejszym szybko zmieniającym się środowisku cyfrowym. Wyniki potwierdzają pozytywny wpływ współpracy dostawców, wymiany informacji i integracji procesów na SCE oraz podkreślają, że są to czynniki niezbędne do osiągnięcia zharmonizowanego i wydajnego łańcucha dostaw. Ponadto badanie wykazało bezpośredni i znaczący związek między SCE a OP. Podkreśla to strategiczne znaczenie dobrze zintegrowanego łańcucha dostaw dla ogólnego sukcesu organizacji. Skupienie się na wdrażaniu technologii zwiększa znaczenie badania i dostarcza cennych informacji dla menedżerów działających w obecnym otoczeniu biznesowym. Wyniki badania stanowią cenne źródło wiedzy dla naukowców i praktyków, pogłębiając nasze zrozumienie dynamiki łańcucha dostaw w produkcji oraz skutecznych strategii zarządzania.

5

Selected solutions for the production of precast concrete elements in the era of Industry 4.0

Nicał Aleksander

Materiały Budowlane

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2025

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nr 10

145--151

EN

The aim of the article is to present selected issues and solutions in the field of prefabrication for the needs of construction used in industrial production lines. The research methodology includes the author’s observations of automated devices used, among others, in flow lines for forming reinforced concrete flat elements. Photos and basic technical characteristics of these devices are presented, and descriptions of their operation are included. In addition, the issue of software for designing and planning the production of precast concrete elements is discussed. The conclusions formulate potential benefits resulting from the further development of automation and digitalization in the production processes of prefabricated elements and further directions of development of the precast concrete industry.

PL

Celem artykułu jest przedstawienie wybranych zagadnień i rozwiązań z dziedziny prefabrykacji na potrzeby budownictwa stosowanych w przemysłowych liniach produkcyjnych. Metoda badań obejmuje prowadzone przeze mnie obserwacje zautomatyzowanych urządzeń wykorzystywanych m.in. w liniach potokowych do formowania żelbetowych elementów płaskich. Zaprezentowano zdjęcia oraz podstawowe charakterystyki techniczne tych urządzeń, zawarto opisy sposobu ich działania. Ponadto, poruszono zagadnienie oprogramowania do projektowania i planowania produkcji prefabrykatów. We wnioskach sformułowane zostały potencjalne korzyści wynikające z dalszego rozwoju automatyzacji i digitalizacji w procesach produkcyjnych prefabrykatów i dalsze kierunki rozwoju przemysłu produkcji prefabrykatów.

6

Structural Model of Technological Collaboration within a Manufacturing Cluster

Krawczyk-Dembicka Elżbieta, Urban Wieslaw

Management and Production Engineering Review

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2025

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Vol. 16, No. 1

[nr art. 13], s. 1--11

EN

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.

7

A hybrid advanced analysis approach for predicting spring back phenomena existing in metals

Abdullah Elham, Jalil Abdulkareem

Advances in Science and Technology. Research Journal

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2025

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Vol. 19, no. 5

185--199

EN

Springback (SBP) is a critical phenomenon in metal forming processes, influencing the dimensional accuracy and mechanical integrity of manufactured components. This study investigates the springback behavior of aluminum, copper, and pure iron using a hybrid approach that integrates finite element analysis (FEA) and machine learning (ML). The research evaluates key parameters, including material deformation, peak forming force, stress distribution, and thermal effects, under varying thicknesses and punch radii. Results reveal that aluminum exhibits the highest springback (6.2%) due to its ductility, followed by copper (4.0%) and pure iron (2.5%), which demonstrated superior dimensional stability. The forming force requirements were lowest for aluminum (50 kN), moderate for copper (75 kN), and highest for iron (100 kN), reflecting their respective material strengths. Copper recorded the highest temperature rise (350°C), while iron exhibited the greatest Von Mises stress (420 MPa), emphasizing its robustness but susceptibility to localized stress. The hybrid FEA-ML model effectively predicted springback angles with high accuracy, optimizing forming parameters and minimizing experimental reliance. These findings highlight the significance of material selection and process optimization in industrial applications, where aluminum is ideal for lightweight structures, iron for strength-critical designs, and copper for high-ductility requirements. This study offers a novel framework for enhancing precision in metal forming processes, with implications for automotive, aerospace, and structural industries. Future research can extend this model to complex geometries and multi-material systems, advancing sustainable and efficient manufacturing technologies

8

Sustainability modeling in energy and labor intensity of manufacturing processes

Depczyński Radosław

Zeszyty Naukowe Politechniki Morskiej w Szczecinie

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2024

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nr 80 (152)

32--45

EN

The manufacturing sector plays a pivotal role in global economic growth and improving living standards. However, it faces significant challenges related to environmental degradation and resource depletion due to traditional manufacturing processes. This paper aims to explore the optimization of production processes within the context of sustainable development, focusing on energy intensity, labor intensity, and ergonomics. Through a systematic literature review, the author analyzes various multicriteria decision-making (MCDM) methods applicable to manufacturing, assessing their effectiveness in addressing sustainability challenges. This research reveals that the MCDM approaches can effectively balance the interrelated aspects of energy consumption, labor management, and ergonomic design, leading to enhanced production efficiency and reduced environmental impact. The author hypothesizes that the integration of the MCDM methods will result in improved decision-making processes that foster sustainability in the manufacturing industry. The findings of this study contribute to the ongoing discourse on sustainable manufacturing practices and provide a foundational framework for future research in this area.

9

Conformal Coating Surface Energy Calculation Based on Pelofsky Linear Relations

Szablata Piotr, Łąkowski Paweł

Problemy Mechatroniki : uzbrojenie, lotnictwo, inżynieria bezpieczeństwa

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2024

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Vol. 15, Nr 4 (58)

49--64

EN

In military, medical, and safety product manufacturing, the cost of every error is extremely high. The implementation of a conformal coating process carries significant risk if conducted without a proven method to check the compatibility of the lacquer and laminate specified in the product. This paper explains a method of material alignment verification based on Pelofsky relations. This straightforward solution allows engineers to evaluate the risk of potential issues with conformal coating protection at an early stage, before major investments are made in the expensive production process. Real-life production results are presented to support this thesis.

PL

W produkcji wyrobów przeznaczonych dla branży wojskowej, medycznej oraz produktów bezpieczeństwa, koszt każdego błędu jest niezwykle wysoki. Wdrożenie procesu lakierowania powłoki ochronnej niesie ze sobą wiele ryzyk, jeśli zostanie przeprowadzone bez sprawdzonej metody weryfikacji kompatybilności lakieru i laminatu użytego w danym wyrobie. W artykule wyjaśniono metodę weryfikacji dobrania materiałów w oparciu o relacje Pelofsky'ego. To proste rozwiązanie pozwala inżynierom ocenić ryzyko potencjalnych problemów związanych z nałożeniem powłoki na wczesnym etapie projektowania, przed dokonaniem poważnych inwestycji w kosztowny proces produkcyjny. Na poparcie tej tezy przedstawiono rzeczywiste wyniki produkcyjne.

10

Significant Leap In The Industrial Revolution From Industry 4.0 To Industry 5.0: Needs, Problems, And Driving Forces

Tyagi Shagun, Rastogi Neha, Gupta Ashulekha, Joshi Kapil

Management and Production Engineering Review

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2024

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Vol. 15, No. 3

1--20

EN

This research paper examines the transition from Industry 4.0 to Industry 5.0, underlining the dynamics, fresh challenges, and impending demands that form this revolution. The article uses an approach that is based on literature reviews to examine important books, reports, and articles that are mostly found on English-language websites. This paper focus on the demands, difficulties, and driving forces behind this pivotal stage in industrial history. In order to replace fossil fuels, the sixth industrial revolution will emphasise renewable energy, home robots, task specific automatons, and medical technology. Industry 5.0 focuses on harmonious coexistence of intelligent machines and human agency, while Industry 6.0 emphasizes sustainability, homogeneity, safety, and eco-economics for adaptability in global challenges. It is envisaged that the metaverse will offer immersive virtual reality experiences with implications for gaming and wellness. Industrial logistics are about to undergo a revolution as a result of drones, which will overcome current constraints and increase productivity. In conclusion, this academic journey advances our understanding of the transition from Industry 4.0 to Industry 5.0, acting as a compass for the future. Industry 6.0, which is supported by sustainable practises, technology autonomy, and human adaptation, opens up a world of unexplored possibilities.

11

Process mining and simulation modeling in production system : a review

Kurniasih Julia, Abas Zuraida Abal, Asmai Siti Azirah, Wibowo Agung Budhi

LogForum

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2024

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Vol. 20, no. 4

429--453

EN

Background: Production systems often face challenges that impact efficiency, productivity, and overall performance. Various approaches and techniques are employed to address these issues. This study examines the practical application of process mining and simulation modeling to resolve problems in production systems, with a focus on optimizing the event log data recorded by computer-assisted production processes. Process mining analyzes this data to reveal actual workflows, while simulation modeling explores design alternatives and predicts future performance issues. This study provides a comprehensive review of process mining and simulation modeling integration, offering insights into how these methods improve system performance in production environments. Methods: This research implements bibliometric analysis and a systematic literature review based on a systematic mapping approach. In accordance with PRISMA guidelines and the inclusion and exclusion criteria, 59 articles were deemed eligible for bibliometric analysis, with 53 selected for the literature review. Results: Bibliometric analysis indicates that current publication trends focus on simulation, particularly discrete event simulation, with an emphasis on production systems, simulation models, and production control. The literature review reveals that process mining and simulation modeling address various issues, including system flexibility and reliability, data compatibility and synchronization, product quality monitoring, asset maintenance, cycle time prediction, resource bottleneck management, capacity allocation, productivity, machine downtime, process design, waste utilization, carbon emission prediction, and energy efficiency. Discrete event simulation is the most commonly used approach in process mining for production systems. Existing research in this area often addresses problems with limited improvement potential rather than large-scale challenges, particularly in process investigation, digital process modeling, validation and verification, production operation optimization, predictive analysis, assessment and management, continuous enhancement, and decision support. Conclusions: Integrating process mining with simulation modeling helps production systems tackle operational challenges, optimize performance, and improve decision-making. This approach provides valuable insights for managing complex environments and enhances scheduling, resource management, and sustainability.

12

Green Human Resource Management in the manufacturing sector: a bibliometric literature review

Austen Agata, Piwowar-Sulej Katarzyna

Engineering Management in Production and Services

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2024

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Vol. 16, no. 4

34--47

EN

This study aims to examine the structure of Green Human Resource Management (GHRM) within the manufacturing industry research field and identify future research directions in this area as GHRM increasingly gains scholarly attention. This study utilised a comprehensive three-step approach. Initially, Scopus was selected as the primary database for its extensive coverage, followed by applying a targeted search strategy to gather literature on GHRM in the manufacturing sector, yielding 117 relevant articles. The analysis was twofold: a performance analysis to assess the impact and role of research elements within the field and a co-words analysis for mapping scientific relationships and trends in GHRM, using tools like VosViewer and MS Excel for visualisation. This methodology enabled a detailed exploration of the GHRM landscape, focusing on established research and emerging trends. The findings indicate a growing interest in GHRM in manufacturing since 2020, yet the total volume of publications remains relatively modest. The research identified four main clusters of focus: the integration of sustainability in business practices, the effects of environmental management behaviours on organisational performance, the role of sustainability in enhancing competitive advantage and sustainable development, and the formation of conceptual and strategic frameworks for sustainable practices. Notably, emerging research areas from 2021 to 2023 encompass digital challenges related to Big Data and digital transformation, the interplay of organisational learning and knowledge management in green management, and the influence of employee engagement on GHRM. This paper contributes to the field by mapping out the current state and evolution of GHRM within the manufacturing sector, highlighting both established and emerging areas of interest. It provides a comprehensive overview of how sustainability is integrated into business operations and impacts organisational performance and competitive advantage. The study offers some implications for practitioners in the manufacturing industry by identifying key areas of focus for implementing and enhancing GHRM practices. It underscores the importance of digital transformation, organisational learning, and employee engagement in the successful adoption of green management practices.

13

Analysis of selected economic data of Polish paper processing enterprises in comparison to total manufacturing

Biernacka Justyna

Annals of Warsaw University of Life Sciences - SGGW. Forestry and Wood Technology

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2024

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No. 127

15--23

EN

Analysis of selected economic data of Polish paper processing enterprises in comparison to total manufacturing. This study focuses on the analysis of the dynamics of selected economic data and indicators describing the economic condition of paper processing industry enterprises compared to total manufacturing. The results of the analysis showed that the lowest dynamics of selected economic data in 2019-2020 for both sectors was recorded. The paper processing industry achieved the highest dynamics of net financial result and total revenues in 2021 and 2022; the dynamics of the examined values was slightly lower than observed for total manufacturing. In 2021-2022 a clear upward trend in profitability indicators was observed – values of return of equity and net profitability turnover indicators were at a higher level than in total manufacturing.

PL

Analiza wybranych danych ekonomicznych polskich przedsiębiorstw przetwórstwa papieru w porównaniu z przetwórstwem przemysłowym ogółem. Artykuł koncentruje się na analizie dynamiki wybranych wielkości ekonomicznych i wskaźników opisujących kondycję ekonomiczną przedsiębiorstw należących do przemysłu przetwórstwa papieru w porównaniu do przemysłu przetwórczego ogółem. Wyniki analizy wykazały, że oba sektory charakteryzowały się najniższą dynamiką wybranych wielkości ekonomicznych w latach 2019-2020. Najwyższą dynamikę wyniku finansowego netto oraz przychodów ogółem w latach 2021-2022 osiągnęła branża przetwórstwa papierniczego, a dynamika badanych wielkości była nieco niższa niż obserwowana dla całego przetwórstwa przemysłowego. Również w latach 2021-2022 zaobserwowano wyraźną tendencję wzrostową wskaźników rentowności kapitału własnego oraz rentowności obrotu netto kształtowały się na niższym poziomie niż dla przetwórstwa przemysłowego ogółem.

14

Analysis of selected economic data of Polish furniture industry enterprises in comparison to total manufacturing

Biernacka Justyna

Annals of Warsaw University of Life Sciences - SGGW. Forestry and Wood Technology

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2024

|

No. 128

17--25

EN

Analysis of selected economic data of Polish furniture industry enterprises in comparison to total manufacturing. The paper focuses on analysis of the selected economic data dynamics and indicators of describing the economic and financial situation of enterprises belonging to the furniture industry in comparison to the total manufacturing. The most frequent declines in the dynamics of the analysed values for both industry sectors in 2019-2020 were observed. In 2021 and 2022 declines in the net financial result of the furniture industry were again observed. In the same period, manufacturing enterprises showed an increasing tendency in the values of net financial results. Confirmation of the deterioration of financial results of the furniture industry enterprises and their condition is a downward trend in their profitability indicators in the last 2 examined years. In the mentioned period, the total liabilities of enterprises belonging to both sectors also increased, but their growth was stronger in the manufacturing sector.

PL

Analiza wybranych danych ekonomicznych polskich przedsiębiorstw przemysłu meblarskiego w porównaniu z przetwórstwem przemysłowym ogółem. W artykule dokonano analizy dynamiki i wskaźników wybranych danych ekonomicznych opisujących sytuację ekonomiczno-finansową przedsiębiorstw należących do przemysłu meblarskiego w porównaniu do przemysłu przetwórczego ogółem. Spadki dynamiki analizowanych wielkości dla obu badanych sektorów najczęściej obserwowano w latach 2019-2020. Poza tym okresem, w latach 2021 i 2022 ponownie zaobserwowano spadki wyniku finansowego netto branży meblarskiej. W tym samym okresie przetwórstwo przemysłowe charakteryzowała wzrostowa tendencja wartości wyniku finansowego netto. Potwierdzeniem pogorszenia się wyników finansowych przedsiębiorstw branży meblarskiej i ich kondycji były w ostatnich 2 badanych latach obniżające się wartości wskaźników rentowności. We wspomnianym okresie rosły także zobowiązania ogółem przedsiębiorstw obu sektorów, przy czym silniejsze były w sektorze przetwórstwa przemysłowego.

15

Using Business Process Model and Notation 2.0 to Deploy Cobots in a Manufacturing System – Case Study

Pizoń Jakub, Kanski Łukasz, Kulisz Monika, Chadam Jan, Sánchez-García Eduardo

Advances in Science and Technology. Research Journal

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2024

|

Vol. 18, no. 7

150--162

EN

This study examines the application of BPMN 2.0 notation within the implementation process of modern Industry 5.0 solution – cobots (collaborative robots). The research aims to compare the operational efficiencies of traditional human-only production processes with those augmented by cobots. The authors analyze two variants of furniture production processes: one involving only human workers and another combining cobots and human workers. The efficiency of these processes was assessed in terms of production time and output quantity. The investigation revealed that the production process incorporating cobots was more efficient, with a reduction in production time by 4.76% and an increase in the amount of products produced by 35.5%. The study concludes that integrating cobots into production processes can significantly enhance efficiency, reducing time and increasing output. BPMN 2.0 notation is a critical tool for modeling, automating, and monitoring these improved processes, aiding organizations in making strategic decisions towards adopting robotic solutions to boost productivity and competitive edge in the marketplace.

16

Digital Twin in manufacturing. Part II. Case studies in removal and additive machining processes

Grzesik Wit

Mechanik

|

2023

|

R. 96, nr 2

6--14

EN

In this paper, a survey of the applications of digital twins (DTs) in removal and additive machining operations performed in smart manufacturing is presented. Some representative examples of virtual modelling in these manufacturing areas at different scales and complexity, including tools, fixtures, machines, equipment and manufacturing/production systems are presented and overviewed. Current experiences of research centres and machine tools companies, which develop and implement of DT technology in the context of control and optimization of machining processes performed on CNC machine tools, are highlighted. According to the author’s opinion this comprehensive survey would encourage to undertake this important manufacturing problem to implement new virtual tools for developing the I4.0 strategy.

PL

W artykule zaprezentowano przegląd zastosowań cyfrowego bliźniaka (DT) w skrawaniu i obróbce przyrostowej. Podano przykłady o różnym poziomie złożoności, z uwzględnieniem oprzyrządowania, maszyn, procesów i systemów wytwórczych/produkcyjnych. Omówiono doświadczenia ośrodków badawczych we wdrażaniu technologii DT w kontekście sterowania procesami obróbkowymi na obrabiarkach CNC i ich optymalizacji. Zdaniem autora artykuł powinien zachęcić do podjęcia problematyki wprowadzania nowych narzędzi informatycznych w rozwoju strategii Przemysłu 4.0.

17

Digital twin in manufacturing. Part I. State of the art, architecture and applications

Grzesik Wit

Mechanik

|

2023

|

R. 96, nr 1

8--13

EN

In this paper, some important achievements in the development of Industry 4.0 (I4.0) strategy based on the concept of advanced digitalization covering smart manufacturing activities using the Internet of Things (IoT) and corresponding digital twin (DT) solutions are highlighted. Some popular definitions and their practical meanings, modelling principles and possible applications are given. Some new trends and enabling technologies in smart (intelligent) manufacturing, i.e, complete digitalization of assets (units, machines, equipment, etc.), processes and systems based on the evolutionary development of DTs are discussed. This paper should encourage industry and academia to undertake this important problem more seriously, to implement its future potential in manufacturing and enhance the I4.0 strategy.

PL

W artykule dokonano przeglądu osiągnięć w zakresie rozwoju strategii Przemysłu 4.0, opartego na zaawansowanej cyfryzacji z wykorzystaniem internetu rzeczy (IoT) i cyfrowego bliźniaka (DT - digital twin). Podano definicje i zasady modelowania oraz przedstawiono możliwe obszary zastosowań cyfrowego bliźniaka. Omówiono trendy w inteligentnym wytwarzaniu, m.in. kompletną cyfryzację maszyn, procesów i systemów wytwórczych, oparte na ewolucyjnym rozwoju koncepcji cyfrowego bliźniaka. Artykuł powinien zachęcić do podjęcia problematyki wprowadzania nowych narzędzi informatycznych w rozwoju strategii Przemysłu 4.0.

18

Towards an Optimal Motor Mounting Bracket Using Topology Optimization Combined with Sustainability and Manufacturing Cost Analysis

Fassi Hicham Fihri, Aniyou Hadji

Management and Production Engineering Review

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2023

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Vol. 14, No. 4

109--116

EN

The engine is the most important component of a vehicle. It attaches to the main frame via the engine mounting bracket which supports weight and operating loads. The engine mount therefore plays a crucial role in the durability and comfort of the vehicle. This article contributes to the search for the most optimal model from the point of view of resistance, environmental impact, and manufacturing cost. This involves, on the one hand, optimizing the support by reducing its initial mass by 30%, and on the other hand, seeking suitable material and manufacturing process with the least environmental impact. To this end, topology optimization will be combined with an environmental assessment and a manufacturing cost analysis. Four materials will be tested and evaluated. Finally, a cost analysis will present a comparison between a conventional process and 3D printing.

19

Fastener manufacturing methods

Rokosz Zbigniew

Fastener : rynek elementów złącznych

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2023

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nr 1

64--66

EN

Fasteners are found in almost every industry. In fact, it is hard to imagine an industrial sector where no fasteners are used (starting with a nail, rivet, screw, and ending with a bolt and nut). Their shape, strength or types are therefore very different. However, most are produced in a similar way, in specialised metalworking facilities.

20

Evaluating the development path of manufacturing industry under carbon neutralisation

Li Ran

Ecological Chemistry and Engineering. S

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2023

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Vol. 30, nr 4

581--593

EN

China’s manufacturing industry faces the dual imperatives of supporting economic growth while reducing emissions to achieve national carbon neutrality targets. This study analyses the potential for decarbonisation across manufacturing sub-sectors. Using factor analysis and fuzzy comprehensive evaluation, it assesses industries based on foundational advantages, growth prospects, and sustainability. The results rank sub-sectors and identify promising areas like eco-friendly equipment and agricultural processing. However, carbon-intensive industries require urgent transformation. To optimise China’s industrial structure for low-carbon development, coordinated efforts across policy, industry, and enterprise are needed. Supportive regulations, industrial integration, and technology adoption can incentivise green manufacturing. By strategically promoting circular economy models, China can enhance quality and efficiency, convert waste into value, and contribute to global climate action. This study provides insights into aligning manufacturing growth with carbon neutrality in the new economic era.