Article
Engineering, Industrial
Jesus F. Lampon, Elena Rivo-Lopez
Summary: This research explores the influence of industry technology intensity on the drivers of manufacturing backshoring. The analysis of backshoring factors in recent European manufacturing cases shows that drivers are conditioned by technology intensity, with different industries having different key factors. The study also identifies the most suitable theoretical approaches for explaining backshoring drivers in each type of industry.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2022)
Article
Management
Hamid Moradlou, Hendrik Reefke, Heather Skipworth, Samuel Roscoe
Summary: This study examines the impact of geopolitical disruptions on the manufacturing supply chain location decisions of UK multinational firm managers. Findings show that most companies have relocated production facilities from the UK to the EU and distribution centers from the EU to the UK due to market-seeking advantages and efficiency-seeking advantages. The study expands on Dunning's eclectic paradigm and highlights the influence of policy-related uncertainty on manufacturing location decisions.
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT
(2021)
Article
Environmental Studies
Javier Bilbao-Ubillos, Vicente Camino-Beldarrain, Gurutze Intxaurburu-Clemente
Summary: This paper examines the territorial problems brought about by the integration of ICTs into the knowledge bases of manufacturing industry, leading to the concept of Industry 4.0. By establishing a reference taxonomy based on the cognitive composition of technology solutions, the study assesses the impact of these problems on technological collaboration activities and geographical location for producers. Once the territorial problems are identified, each product field can be associated with the corresponding issue based on the cognitive composition of its technical solutions.
EUROPEAN PLANNING STUDIES
(2021)
Article
Engineering, Industrial
Leonardo Moraes Aguiar Lima Dos Santos, Matheus Becker da Costa, Joao Victor Kothe, Guilherme Brittes Benitez, Jones Luis Schaefer, Ismael Cristofer Baierle, Elpidio Oscar Benitez Nara
Summary: This study identifies key and collaborative technologies related to Industry 4.0, and proposes five collaborative networks with distinct goals. This will help managers improve their focus on priorities regarding the implementation of Industry 4.0 technologies.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2021)
Review
Engineering, Industrial
Ting Zheng, Marco Ardolino, Andrea Bacchetti, Marco Perona
Summary: Research on Industry 4.0 has primarily focused on the effects in smart factory production scheduling, with a lack of comprehensive study on the applications of I4.0 enabling technologies in manufacturing life-cycle processes. The results indicate a strong emphasis on production scheduling and control, along with a rising trend in servitization and circular supply chain management.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Zeyi Miao
Summary: This paper analyzes the impact of international technology spillovers on the transformation and development of China's digital manufacturing industry through panel data model construction. The study found that in the Yangtze River Delta region, foreign direct investment technology spillover and import trade technology spillover showed a certain growth trend, but declined after 2017.
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
(2022)
Review
Engineering, Industrial
Marcos Pagliosa, Guilherme Tortorella, Joao Carlos Espindola Ferreira
Summary: This paper identifies the positive interaction between Industry 4.0 (I4.0) technologies and Lean Manufacturing (LM) practices, leading to improved operational performance. Future research should focus on validating synergies, examining effects on all levels of flow, and evaluating the impact on operational performance.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2021)
Article
Engineering, Industrial
Gabriel Bertholdo Vargas, Jefferson de Oliveira Gomes, Rolando Vargas Vallejos
Summary: The paper presents a practical framework for prioritizing investment in manufacturing technologies, methods, and tools based on network theory. It demonstrates its applicability through two case studies of manufacturing firms. The technology networks visualize adoption patterns of different industrial segments based on data from 863 Brazilian companies.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2023)
Article
Business
Gregory Theyel, Kay H. Hofmann
Summary: This paper investigates the strategic consequences of manufacturing location decisions, revealing the importance of collocating manufacturing with other value chain activities for increased organizational agility and innovation. The study explores the recent phenomenon of reshoring and finds that retaining or bringing back manufacturing operations to a company's home country can enhance organizational flexibility, speed, adaptability, innovativeness, and responsiveness to customer requirements under certain conditions.
MULTINATIONAL BUSINESS REVIEW
(2021)
Article
Green & Sustainable Science & Technology
Max Adaloudis, Jaime Bonnin Roca
Summary: 3D Concrete Printing (3DCP) is gaining attention as a solution to reduce carbon emissions from cement production, with companies motivated more by the potential for automation and addressing skill shortages in the construction sector than environmental benefits. Current government procurement rules do not sufficiently reward sustainability benefits to encourage the uptake of 3DCP.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Green & Sustainable Science & Technology
Whisper Maisiri, Liezl van Dyk, Rojanette Coeztee
Summary: The rise of Industry 4.0 adoption in the manufacturing industry globally has led to increased empirical research on barriers and drivers specific to different countries. However, a study focusing on the South African manufacturing industry is lacking. Factors inhibiting the sustainable adoption of I4.0 in South Africa include cultural construct, structural inequalities, youth unemployment, and deficiencies in the education system. Key strategies identified to promote sustainable adoption of I4.0 include understanding context, strengthening policy and regulatory space, overhauling the education system, and focusing on primary manufacturing.
Article
Automation & Control Systems
Abhishek Kumar Jha, Adam Lamecki, Michal Mrozowski, Maurizio Bozzi
Summary: This article introduces a novel sensor for rapid prototyping machines, with a planar topology and linear response capability to measure angular rotation and proximity. The unique sensor design achieves wide frequency band applicability through loading various dielectric materials.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Business
Jake D. Hoskins, Stephen J. Carson
Summary: The level of diversity in a company's technology portfolio is crucial for its long-term adaptability and financial performance. This study examines the impact of industry conditions and a company's market share on the profitability of diverse technological portfolios. The findings suggest that greater technological diversity enhances profitability when a company has a high market share, low industry concentration, or low industry dynamism. On the other hand, greater technological focus improves profitability when a company has a low market share, high industry concentration, or high industry dynamism.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Business
Chien-Chiang Lee, Shuai Qin, Yaya Li
Summary: This paper analyzes the mechanism and heterogeneity of the effects of industrial robot applications on green technology innovation in the global manufacturing sector. The results show that industrial robot applications significantly promote green technology innovation, with the mediating effect of green R&D investment and the moderating effect of environmental regulation. There are industry and regional differences in the green technology innovation effects of industrial robot applications, and the implementation of Industry 4.0 favors the stimulating effects of industrial robots on green technology innovation.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Computer Science, Information Systems
Michal Balog, Lucia Knapcikova
Summary: Contactless identification systems are mainly used in industry and trade for efficient and rapid identification of objects. In the railway sector, this technology can be applied to monitor the technical state of pressure brakes and bearing chambers of the wheel set.
Article
Transportation
Javier Bilbao-Ubillos, Ana Fernandez-Sainz, Rosa Payan-Azkue
Summary: The study found that measures adopted in national-level maritime policies such as tonnage tax and second register have generally been effective in enhancing the competitiveness of controlled fleets, although the impact varies across different countries.
EUROPEAN TRANSPORT RESEARCH REVIEW
(2021)
Article
Social Issues
Javier Bilbao-Ubillos, Vicente Camino-Beldarrain
Summary: This article suggests that Brexit could exacerbate a process of re-localisation that began some years ago, based on technological innovations under Industry 4.0 and recently strengthened by supply issues during the Covid-19 pandemic. While social, political, and institutional contexts matter, technology is believed to be a key factor in businesses' ability to reconfigure their value chains.
TECHNOLOGY IN SOCIETY
(2021)
Article
International Relations
Javier Bilbao-Ubillos, Ana-Isabel Fernandez-Sainz
Summary: The internal wage devaluation strategy implemented in Spain did not achieve the desired goals, as other factors such as euro depreciation, increased economic activity by trading partners, and falling oil prices played a decisive role in the trends of export prices and trade balance during the crisis management period.
Article
Social Sciences, Interdisciplinary
Javier Bilbao-Ubillos
Summary: In the process of European integration, the social dimension has been neglected and the European Social Model (ESM) has been diluted. The EU's response to the 2008 economic crisis has gradually imposed reforms that threaten social protection. This paper argues for the need to prevent social competition and proposes measures to strengthen the social content of the European project.
SOCIAL INDICATORS RESEARCH
(2023)
Article
Economics
Javier Bilbao-Ubillos
Summary: This paper analyzes the EU's strategy for recovery from the pandemic, comparing it to the approach taken during the 2008 crisis. It identifies the key elements and economic policy references adopted in both cases. The paradigm shift in economic policy is evident, and the mistakes from the earlier crisis have been avoided. The paper argues for the need of a permanent, well-funded, and well-designed European stabilization mechanism to simplify procedures and reduce reaction times in the face of future crises.
STRUCTURAL CHANGE AND ECONOMIC DYNAMICS
(2023)
Article
Economics
Javier Bilbao-Ubillos
Summary: This paper examines the challenges facing the European Social Model, highlighting the threat posed by austerity policies and the hypothesis that without decisive action by EU institutions, the model faces gradual erosion or dilution in a globalized economy.
REVIEW OF RADICAL POLITICAL ECONOMICS
(2021)
Article
Information Science & Library Science
Javier Bilbao-Ubillos, Vicente Camino-Beldarrain, Gurutze Intxaurburu
Summary: This paper aims to analyze the viability of production processes in three industries and the cognitive composition of technical solutions used by these industries. The results confirm that firms find it difficult to drive forward diversification processes. The study's limitations include a small sample size and potential impact from the Covid-19 crisis.
JOURNAL OF KNOWLEDGE MANAGEMENT
(2021)
Article
Environmental Studies
Javier Bilbao-Ubillos, Vicente Camino-Beldarrain, Gurutze Intxaurburu-Clemente
Summary: This paper examines the territorial problems brought about by the integration of ICTs into the knowledge bases of manufacturing industry, leading to the concept of Industry 4.0. By establishing a reference taxonomy based on the cognitive composition of technology solutions, the study assesses the impact of these problems on technological collaboration activities and geographical location for producers. Once the territorial problems are identified, each product field can be associated with the corresponding issue based on the cognitive composition of its technical solutions.
EUROPEAN PLANNING STUDIES
(2021)
Article
Social Sciences, Interdisciplinary
Javier Bilbao-Ubillos, Ana Fernandez-Sainz
SOCIAL SCIENCE JOURNAL
(2019)
Article
International Relations
Javier Bilbao Ubillos
CUADERNOS EUROPEOS DE DEUSTO
(2018)
Article
Sociology
Javier Bilbao-Ubillos, Jesus-Luis Alsasua, Gurutze Intxaurburu, Miren Ullibarri-Arce
INNOVATION-THE EUROPEAN JOURNAL OF SOCIAL SCIENCE RESEARCH
(2018)
Article
Social Work
Javier Bilbao-Ubillos
INTERNATIONAL JOURNAL OF SOCIAL WELFARE
(2016)
Article
Computer Science, Interdisciplinary Applications
Francesco Pistolesi, Michele Baldassini, Beatrice Lazzerini
Summary: More than one in four workers worldwide suffer from back pain, resulting in the loss of 264 million work days annually. In the U.S., it costs $50 billion in healthcare expenses each year, rising up to $100 billion when accounting for decreased productivity and lost wages. The impending Industry 5.0 revolution emphasizes worker well-being and their rights, such as privacy, autonomy, and human dignity. This paper proposes a privacy-preserving artificial intelligence system that monitors the posture of assembly line workers. The system accurately assesses upper-body and lower-body postures while respecting privacy, enabling the detection of harmful posture habits and reducing the likelihood of musculoskeletal disorders.
COMPUTERS IN INDUSTRY
(2024)
Article
Computer Science, Interdisciplinary Applications
Xavier Boucher, Camilo Murillo Coba, Damien Lamy
Summary: This paper explores the new business strategies of digital servitization and smart PSS delivery, and develops conceptual prototypes of smart PSS value offers for early stages of the design process. It presents the development and experimentation of a modelling language and toolkit, and applies it to the design of a smart PSS in the field of heating appliances.
COMPUTERS IN INDUSTRY
(2024)
Article
Computer Science, Interdisciplinary Applications
Dieudonne Tchuente, Jerry Lonlac, Bernard Kamsu-Foguem
Summary: Artificial Intelligence (AI) is becoming increasingly important in various sectors of society. However, the black box nature of most AI techniques such as Machine Learning (ML) hinders their practical application. This has led to the emergence of Explainable artificial intelligence (XAI), which aims to provide AI-based decision-making processes and outcomes that are easily understood, interpreted, and justified by humans. While there has been a significant amount of research on XAI, there is currently a lack of studies on its practical applications. To address this research gap, this article proposes a comprehensive review of the business applications of XAI and a six-step framework to improve its implementation and adoption by practitioners.
COMPUTERS IN INDUSTRY
(2024)
Article
Computer Science, Interdisciplinary Applications
Francois-Alexandre Tremblay, Audrey Durand, Michael Morin, Philippe Marier, Jonathan Gaudreault
Summary: Continuous high-frequency wood drying, integrated with a traditional wood finishing line, improves the value of lumber by correcting moisture content piece by piece. Using reinforcement learning for continuous drying operation policies outperforms current industry methods and remains robust to sudden disturbances.
COMPUTERS IN INDUSTRY
(2024)
Article
Computer Science, Interdisciplinary Applications
Luyao Xia, Jianfeng Lu, Yuqian Lu, Wentao Gao, Yuhang Fan, Yuhao Xu, Hao Zhang
Summary: Efficient assembly sequence planning is crucial for enhancing production efficiency, ensuring product quality, and meeting market demands. This study proposes a dynamic graph learning algorithm called assembly-oriented graph attention sequence (A-GASeq), which optimizes the assembly graph structure to guide the search for optimal assembly sequences. The algorithm demonstrates superiority and broad utility in real-world scenarios.
COMPUTERS IN INDUSTRY
(2024)
Article
Computer Science, Interdisciplinary Applications
Mutahar Safdar, Padma Polash Paul, Guy Lamouche, Gentry Wood, Max Zimmermann, Florian Hannesen, Christophe Bescond, Priti Wanjara, Yaoyao Fiona Zhao
Summary: Metal-based additive manufacturing can achieve fully dense metallic components, and the application of machine learning in this field has been growing rapidly. However, there is a lack of framework to manage these machine learning models and guidance on the fundamental requirements for a cross-disciplinary platform to support process-based machine learning models in industrial metal AM.
COMPUTERS IN INDUSTRY
(2024)