Benchmarking operations and supply chain management practices using Generative AI: Towards a theoretical framework

Transportation Research Part E Logistics and Transportation Review, Год журнала: 2024, Номер 189, С. 103689 - 103689

Опубликована: Июль 25, 2024

Язык: Английский

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Exploring digital twins for transport planning: a review

European Transport Research Review, Год журнала: 2025, Номер 17(1)

Опубликована: Март 13, 2025

Язык: Английский

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The value of Augmented Reality on platform-based supply chains: Impact of Accuracy Effect and Entertainment Effect

Transportation Research Part E Logistics and Transportation Review, Год журнала: 2025, Номер 194, С. 103953 - 103953

Опубликована: Янв. 7, 2025

Язык: Английский

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Towards green logistics: An innovative decision support model for zero-emission transportation modes development

Transportation Research Part E Logistics and Transportation Review, Год журнала: 2024, Номер 189, С. 103648 - 103648

Опубликована: Июль 21, 2024

Язык: Английский

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Cognitive digital twin-based Internet of Robotic Things, multi-sensory extended reality and simulation modeling technologies, and generative artificial intelligence and cyber–physical manufacturing systems in the immersive industrial metaverse

Equilibrium Quarterly Journal of Economics and Economic Policy, Год журнала: 2024, Номер 19(3), С. 719 - 748

Опубликована: Сен. 27, 2024

Research background: Connected Internet of Robotic Things (IoRT) and cyber-physical process monitoring systems, industrial big data real-time event analytics, machine deep learning algorithms articulate digital twin smart factories in relation to learning-assisted planning, (IoT)-based production logistics, enterprise resource coordination. cooperative behaviors 3D assembly operations collaborative environments require ambient environment geospatial simulation tools, computer vision spatial mapping algorithms, generative artificial intelligence (AI) planning software. Flexible cloud computing necessitate sensing actuation capabilities, cognitive visualization sensor fusion image recognition technologies so as lead tangible business outcomes. Purpose the article: We show that AI cyber–physical manufacturing fog edge task scheduling are instrumental interactive economics metaverse. Generative AI-based metaverse develops on IoRT management multi-sensory extended reality modeling technologies, for data-driven decision-making processes. Virtual reinforcement autonomous virtual equipment learning-based object detection can be leveraged networked immersive processing. Methods: Evidence appraisal checklists citation software deployed justifying inclusion or exclusion reasons collection analysis comprise: Abstrackr, Colandr, Covidence, EPPI Reviewer, JBI-SUMARI, Rayyan, RobotReviewer, SR Accelerator, Systematic Review Toolbox. Findings & value added: Modal actuators sensors, robot trajectory computational systems enable scalable computation processes environments. Ambient remote cloud-based robotic cooperation improve IoT-based logistics multi-agent controls factories. Context acquisition shape path lines, collision-free motion coordinated unpredictable perception tasks, increasing economic performance. This collective writing cumulates debates upon most recent relevant literature twin-based Things, by use evidence

Язык: Английский

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Sentiment as a shipping market predictor: Testing market-specific language models

Transportation Research Part E Logistics and Transportation Review, Год журнала: 2024, Номер 189, С. 103651 - 103651

Опубликована: Июль 16, 2024

Язык: Английский

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Digital technology in occupational health of manufacturing industries: a systematic literature review

Deleted Journal, Год журнала: 2024, Номер 6(12)

Опубликована: Ноя. 22, 2024

In this study, we fill the gap of limited effort on systematic literature review into field digital technology for occupational health manufacturing industries. Upon reviewing 53 publications selected by combined bibliometric and classical methods, present an integrated overview major research areas hot topics critically identify prevalent technologies application modes, enablers barriers to implementation, as well agenda in health. The results show that, with increasing popularity penetration items like wearable devices sensors, human–robot collaboration, deep learning analytics, identified implementation are: intelligent manufacturing, competitive condition, data-driven decision-making tool, considerations welfare health; technological gap, privacy data security, culture acceptance, cost consideration. Additionally, propositions three aspects six perspectives are recommended future field. Overall, study provides insights through analysis synthesis, offers means achieve Sustainable Development Goals (SDGs) exploring efficient protect labor rights improve

Язык: Английский

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Metaverse for supply chain management and operations

Elsevier eBooks, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

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An interpretable machine learning framework for enhancing road transportation safety

Transportation Research Part E Logistics and Transportation Review, Год журнала: 2025, Номер 195, С. 103969 - 103969

Опубликована: Янв. 21, 2025

Язык: Английский

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Gen-AI for Transportation Planning

Опубликована: Янв. 1, 2025

Язык: Английский

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