The Evaluation of Industry 5.0 Concepts: Social Network Analysis Approach

Applied Sciences, Год журнала: 2024, Номер 14(3), С. 1291 - 1291

Опубликована: Фев. 4, 2024

During 2022 and 2023, Industry 5.0 attracted a lot of attention. Many articles papers regarding the basics 5.0, its pillars, comparison 4.0, Society Operator have been published. Although concept is relatively new, companies from developed countries that high level implementation 4.0 already started transition to 5.0. Even though enables developing become part countries’ value chains, it not known which path are taking. To fill this gap, authors proposed research questions key indicators for measuring levels approaches in manufacturing sector Republic Serbia. This includes insights 146 companies, gathered as European Manufacturing Survey. The main findings study show most important indicator when comes human-centricity training competence development production employees with task-specific focus; measures improving efficiency material consumption significant achieving sustainability; use standardized detailed work instructions crucial order resilient.

Язык: Английский

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Servitization 4.0 as a Trigger for Sustainable Business: Evidence from Automotive Digital Supply Chain

Sustainability, Год журнала: 2023, Номер 15(3), С. 2217 - 2217

Опубликована: Янв. 25, 2023

The COVID-19 pandemic strengthens the use of digital services in supply chains manufacturers and suppliers automotive industry. Furthermore, digitalization production process changed how manufacturing firms manage their value era Industry 4.0. sector represents ecosystem with rapid transformation, which provides a strong relationship between chains. However, there are many gaps understanding technologies could better shape relations Accordingly, this study investigates deliveries data set was obtained through annual reports firms, both from manufacturers, 2018 2020. From network perspective, throughout years, authors have used Social Network Analysis (SNA) method. SNA evaluates actors (i.e., suppliers) business models. research results demonstrate influence car to deliver customers. Finally, information that combination product-related enables stronger ecosystem. These support survive different environments.

Язык: Английский

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Systematic Analysis of Risks in Industry 5.0 Architecture

Applied Sciences, Год журнала: 2024, Номер 14(4), С. 1466 - 1466

Опубликована: Фев. 11, 2024

Industry 4.0, which was proposed ten years ago to address both the industry’s strengths and faults, has finally been replaced by 5.0. It seeks put human welfare at core of manufacturing systems, achieving societal goals beyond employment growth firmly provide wealth for long-term advancement all humanity. The purpose this research is examine risks involved in adoption 5.0’s architecture. paper discusses significance 5.0 advanced technology needed industrial revolution, followed a detailed discussion human-centric strategy. comprehensive literature review resulted identification their mitigation strategies A taxonomy with respect different categories also proposed. This study classifies system assets, identifies platform-independent risks, develops countermeasures protect against potential threats, irrespective business or domain.

Язык: Английский

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Bridging the gap between servitization and social innovation.

Journal of Cleaner Production, Год журнала: 2024, Номер 452, С. 142178 - 142178

Опубликована: Апрель 10, 2024

This paper explores the social implications of servitization and unveils connections between innovation. To substantiate these claims, research elucidates three core concepts innovation, namely processes, instruments, outcomes. The processual view innovation examines how societal changes unfold; instrumental focuses on tools mechanisms driving changes; last outcomes analyses resultant benefits. reviews systematically literature impacts and, based mentioned views uses findings to inductively develop propositions demonstrate that can represent a form thus capable profoundly reshaping industrial societies contributing progress people's well-being. In sum, shows benefits related manufacturing firms suggests priorities in this domain for scholars.

Язык: Английский

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Resilient manufacturing: A review of disruptions, assessment, and pathways

Journal of Manufacturing Systems, Год журнала: 2025, Номер 79, С. 563 - 583

Опубликована: Фев. 19, 2025

Язык: Английский

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The main concepts of Industry 5.0: A Bibliometric Analysis Approach

Опубликована: Март 15, 2023

Industry 5.0 is a new industrial strategy which increase interest in academia and professional the last few years. The main difference according to well-known 4.0 that human-centric strategy. gathers three basic concepts: people-oriented, environment-oriented, resilience-oriented. However, many different studies show this concept their own way. According literature gap, aim of study investigate bibliographic analysis on topic 5.0. paper shows results most productive authors, relevant journals, keywords, countries field

Язык: Английский

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Monitoring Equipment Malfunctions in Composite Material Machining: Acoustic Emission-Based Approach for Abrasive Waterjet Cutting

Applied Sciences, Год журнала: 2024, Номер 14(11), С. 4901 - 4901

Опубликована: Июнь 5, 2024

This paper introduces an Acoustic Emission (AE)-based monitoring method designed for supervising the Abrasive Waterjet Cutting (AWJC) process, with a specific focus on precision cutting of Carbon Fiber-Reinforced Polymer (CFRP). In industries dealing complex CFRP components, like aerospace, automotive, or medical sectors, preventing system malfunctions is very important. proposed addresses issues such as reductions interruptions in abrasive flow rate, clogging head particles, wear and drops water pressure. Mathematical regression models were developed to predict root mean square AE signal. The signal characteristics are determined, considering key parameters pressure, mass feed material thickness. Monitoring conducted at both workpiece. efficacy was validated through experimental tests, confirming its utility maintaining operational integrity AWJC processes applied materials. Integrating technique within framework digitalization Industry 4.0/5.0 establishes basis advanced technologies Sensor Integration, Data Analytics AI, Digital Twin Technology, Cloud Edge Computing, MES ERP Human-Machine Interface. integration enhances efficiency, quality control, predictive maintenance process.

Язык: Английский

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Digital Transformation Towards Industry 5.0: A Systematic Literature Review

IFIP advances in information and communication technology, Год журнала: 2023, Номер unknown, С. 269 - 281

Опубликована: Янв. 1, 2023

Язык: Английский

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Development and Future Trends of Digital Product-Service Systems: A Bibliometric Analysis Approach

Applied System Innovation, Год журнала: 2023, Номер 6(5), С. 89 - 89

Опубликована: Сен. 30, 2023

As a plan, Industry 4.0 encourages manufacturing companies to switch from conventional Product-Service Systems Digital Systems. of goods, services, and digital technologies known as “Digital Systems” are provided improve consumer satisfaction business success in the marketplace. Previous studies have looked into various elements this area for industrial academic institutions. Systems’ overall worth expected course growth still ignored. The authors use bibliometric analysis organize body prior knowledge discipline and, more significantly, identify areas further study order cover literature deficit. results most esteemed authors, nations, sources subject were given by study. findings also show that terms like digitization, sustainability, grown popularity over previous year. This offered insight how 5.0, new strategy, would include Finally, research demonstrate three service orientations, namely resilient, sustainable, human-centric, firms.

Язык: Английский

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PreCaCycleGAN: Perceptual Capsule Cyclic Generative Adversarial Network for Industrial Defective Sample Augmentation

Electronics, Год журнала: 2023, Номер 12(16), С. 3475 - 3475

Опубликована: Авг. 16, 2023

Machine vision is essential for intelligent industrial manufacturing driven by Industry 4.0, especially surface defect detection of products. However, this domain facing sparse and imbalanced data poor model generalization, affecting efficiency quality. We propose a perceptual capsule cycle generative adversarial network (PreCaCycleGAN) sample augmentation, generating realistic diverse samples from defect-free real samples. PreCaCycleGAN enhances CycleGAN with U-Net DenseNet-based generator to improve feature propagation reuse adds loss function authenticity semantic information generated features, enabling richer more global detailed features experiment on ten datasets, splitting each dataset into training testing sets evaluate generalization across datasets. train three models (YOLOv5, SSD, Faster-RCNN) original augmented other state-of-the-art methods, such as CycleGAN-TSS Tree-CycleGAN, validate them different Results show that improves accuracy rate reduces the false compared methods demonstrating its robustness under various conditions.

Язык: Английский

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