1,720,994 research outputs found
DDS-DSS for RA in Industry 4.0 and Smart Manufacturing
No full textThis document contains the required information about the paper titled “A Data-Driven Simulation-Based Decision Support System for Resource Allocation in Industry 4.0 and Smart Manufacturing”, authored by Ehsan Mahmoodi, Masood Fathi, Madjid Tavana, Morteza Ghobakhloo, and Amos H.C. Ng.</p
Building antifragile manufacturing systems through strategic technology integration
No full textPurpose – This study develops and validates, through expert consensus, a framework for achieving antifragilityin manufacturing by strategically integrating modern digital technologies with capabilities that enableorganizations to grow stronger through disruption. It moves beyond traditional resilience-focused approaches byemphasizing continuous adaptability, sustained growth and competitive advantage in an environmentcharacterized by volatility and rapid technological change. Design/methodology/approach – Grounded in the dynamic capability perspective, the study synthesizesinsights from an extensive literature review with the results of a Delphi study involving a panel of 14 industryand academic experts. The process identified and refined a set of critical supporting capabilities, including cross-functional governance, interoperability assessment and risk-responsive integration, that enable the alignment ofdigital transformation initiatives with antifragile objectives. Findings – Antifragility is positioned as a higher-order dynamic capability that transforms volatility into a driverof innovation and strategic renewal. The resulting expert-based framework maps emerging technologies such asartificial intelligence, the Internet of Things and big data analytics to specific sensing, seizing and transformingcapabilities, providing a structured pathway for operationalizing antifragility in manufacturing contexts. Practical implications – The framework offers manufacturers a structured approach for aligning technology investments with antifragile objectives, ensuring that digital transformation enhances rather than undermines adaptability and growth. It encourages a phased, resource-aware implementation strategy that leverages disruptions as strategic assets, fostering both business continuity and long-term competitiveness. Originality/value – This research conceptualizes antifragility as a distinct and advanced capability in manufacturing and demonstrates how it can be purposefully developed through strategic technology integration. By combining theoretical grounding with expert validation, it bridges the gap between digital transformation and antifragility, offering a practical roadmap for turning uncertainty and variability into sources of competitive advantage.CC BY 4.0© Morteza Ghobakhloo, Behzad Foroughi, Masood Fathi, Mostafa Al-Emran, Mohammed A. Al-Sharafiand Muhammad Faraz Mubarak.Corresponding author Morteza Ghobakhloo can be contacted at: [email protected]</p
Beyond Industry 4.0 : a systematic review of Industry 5.0 technologies and implications for social, environmental and economic sustainability
No full textPurpose: The study seeks to understand the possible opportunities that Industry 5.0 might offer for various aspects of inclusive sustainability. The study aims to discuss existing perspectives on the classification of Industry 5.0 technologies and their underlying role in materializing the sustainability values of this agenda. Design/methodology/approach: The study systematically reviewed Industry 5.0 literature based on the PRISMA protocol. The study further employed a detailed content-centric review of eligible documents and conducted evidence mapping to fulfill the research objectives. Findings: The advancement of Industry 5.0 is currently underway, with noteworthy initial contributions enriching its knowledge base. Although a unanimous definition remains lacking, diverse viewpoints emerge concerning the recognition of fundamental technologies and the potential for yielding sustainable outcomes. The expected contribution of Industry 5.0 to sustainability varies significantly depending on the context and the nature of underlying technologies. Practical implications: Industry 5.0 holds the potential for advancing sustainability at both the firm and supply chain levels. It is envisioned to contribute proportionately to the three sustainability dimensions. However, the current discourse primarily dwells in theoretical and conceptual domains, lacking empirical exploration of its practical implications. Originality/value: This study comprehensively explores diverse perspectives on Industry 5.0 technologies and their potential contributions to economic, environmental and social sustainability. Despite its promise, the practical evidence supporting the effectiveness of Industry 5.0 remains limited. Certain conditions are necessary to realize the benefits of Industry 5.0 fully, yet the mechanisms behind these conditions require further investigation. In this regard, the study suggests several potential areas for future research. CC BY 4.0 LEGAL CODE© 2024, Morteza Ghobakhloo, Mohammad Iranmanesh, Masood Fathi, Abderahman Rejeb, Behzad Foroughi and Davoud NikbinMay 07 2024Corresponding author: Morteza Ghobakhloo, Division of Industrial Engineering and Management, Uppsala University, Uppsala, Sweden; email: [email protected]</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Enabling Mass Customization and Manufacturing Sustainability in Industry 4.0 Context : A Novel Heuristic Algorithm for in-Plant Material Supply Optimization
No full textThe fourth industrial revolution and the digital transformation of consumer markets require contemporary manufacturers to rethink and reshape their business models to deal with the ever-changing customer demands and market turbulence. Manufacturers nowadays are inclined toward product differentiation strategies and more customer-focused approaches to stay competitive in the Industry 4.0 environment, and mass customization and product diversification are among the most commonly implemented business models. Under such circumstances, an economical material supply to assembly lines has become a significant concern for manufacturers. Consequently, the present study deals with optimizing the material supply to mixed-model assembly lines that contribute to the overall production cost efficiency, mainly via the reduction of both the material transportation and material holding costs across production lines, while satisfying certain constraints. Given the complexity of the problem, a novel two-stage heuristic algorithm is developed in this study to enable a cost-efficient delivery. To assess the efficiency and effectiveness of the proposed heuristic algorithm, a set of test problems are solved and compared against the best solution found by a commercial solver. The results of the comparison reveal that the suggested heuristic provides reasonable solutions, thus offering immense opportunities for production cost efficiency and manufacturing sustainability under the mass customization philosophy.CC BY 4.0This research was funded by the KK-stiftelsen (Knowledge Foundation, Stockholm, Sweden) for the ProSpekt 2018 project OPTION
Enabling Mass Customization and Manufacturing Sustainability in Industry 4.0 Context: A Novel Heuristic Algorithm for in-Plant Material Supply Optimization
No full textThe fourth industrial revolution and the digital transformation of consumer markets require contemporary manufacturers to rethink and reshape their business models to deal with the ever-changing customer demands and market turbulence. Manufacturers nowadays are inclined toward product differentiation strategies and more customer-focused approaches to stay competitive in the Industry 4.0 environment, and mass customization and product diversification are among the most commonly implemented business models. Under such circumstances, an economical material supply to assembly lines has become a significant concern for manufacturers. Consequently, the present study deals with optimizing the material supply to mixed-model assembly lines that contribute to the overall production cost efficiency, mainly via the reduction of both the material transportation and material holding costs across production lines, while satisfying certain constraints. Given the complexity of the problem, a novel two-stage heuristic algorithm is developed in this study to enable a cost-efficient delivery. To assess the efficiency and effectiveness of the proposed heuristic algorithm, a set of test problems are solved and compared against the best solution found by a commercial solver. The results of the comparison reveal that the suggested heuristic provides reasonable solutions, thus offering immense opportunities for production cost efficiency and manufacturing sustainability under the mass customization philosophy
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