AI-Enhanced Decision-Making for Sustainable Supply Chains: Reducing Carbon Footprints in the USA
Fuente:
arXiv
Saved in:
| Main Author: | Hasan, MD Rokibul |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Designing and Deploying AI Models for Sustainable Logistics Optimization: A Case Study on Eco-Efficient Supply Chains in the USA
by: Shawon, Reza E Rabbi, et al.
Published: (2025)
by: Shawon, Reza E Rabbi, et al.
Published: (2025)
The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation
by: Aghaei, Raha, et al.
Published: (2025)
by: Aghaei, Raha, et al.
Published: (2025)
Data governance: A Critical Foundation for Data Driven Decision-Making in Operations and Supply Chains
by: Li, Xuejiao, et al.
Published: (2024)
by: Li, Xuejiao, et al.
Published: (2024)
Toward Sustainable Generative AI: A Scoping Review of Carbon Footprint and Environmental Impacts Across Training and Inference Stages
by: Kim, Min-Kyu, et al.
Published: (2025)
by: Kim, Min-Kyu, et al.
Published: (2025)
Integrating AI's Carbon Footprint into Risk Management Frameworks: Strategies and Tools for Sustainable Compliance in Banking Sector
by: Tkachenko, Nataliya
Published: (2024)
by: Tkachenko, Nataliya
Published: (2024)
Efficient Strategies on Supply Chain Network Optimization for Industrial Carbon Emission Reduction
by: Lei, Jihu
Published: (2024)
by: Lei, Jihu
Published: (2024)
Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain
by: Lee, Katherine, et al.
Published: (2023)
by: Lee, Katherine, et al.
Published: (2023)
Mitigating the Carbon Footprint of Chatbots as Consumers
by: Ruf, Boris, et al.
Published: (2025)
by: Ruf, Boris, et al.
Published: (2025)
Thinking Upstream: Ethics and Policy Opportunities in AI Supply Chains
by: Widder, David Gray, et al.
Published: (2023)
by: Widder, David Gray, et al.
Published: (2023)
From Noise to Insights: Enhancing Supply Chain Decision Support through AI-Based Survey Integrity Analytics
by: Mani, Bhubalan
Published: (2026)
by: Mani, Bhubalan
Published: (2026)
AI Supply Chains: An Emerging Ecosystem of AI Actors, Products, and Services
by: Hopkins, Aspen, et al.
Published: (2025)
by: Hopkins, Aspen, et al.
Published: (2025)
How Hungry is AI? Benchmarking Energy, Water, and Carbon Footprint of LLM Inference
by: Jegham, Nidhal, et al.
Published: (2025)
by: Jegham, Nidhal, et al.
Published: (2025)
The Economics of AI Supply Chain Regulation
by: Qian, Sihan, et al.
Published: (2026)
by: Qian, Sihan, et al.
Published: (2026)
Recourse, Repair, Reparation, & Prevention: A Stakeholder Analysis of AI Supply Chains
by: Hopkins, Aspen K., et al.
Published: (2025)
by: Hopkins, Aspen K., et al.
Published: (2025)
Criteria for Credible AI-assisted Carbon Footprinting Systems: The Cases of Mapping and Lifecycle Modeling
by: Ulissi, Shaena, et al.
Published: (2025)
by: Ulissi, Shaena, et al.
Published: (2025)
Enhancing Supply Chain Resilience with Metaverse and ChatGPT Technologies
by: Sarhir, Oumaima
Published: (2025)
by: Sarhir, Oumaima
Published: (2025)
Green by Design? Investigating the Energy and Carbon Footprint of Chia Network
by: Djerrab, Soraya, et al.
Published: (2026)
by: Djerrab, Soraya, et al.
Published: (2026)
On the Carbon Footprint of Economic Research in the Age of Generative AI
by: Alonso-Robisco, Andres, et al.
Published: (2026)
by: Alonso-Robisco, Andres, et al.
Published: (2026)
Dirty Bits in Low-Earth Orbit: The Carbon Footprint of Launching Computers
by: Ohs, Robin, et al.
Published: (2025)
by: Ohs, Robin, et al.
Published: (2025)
Operations & Supply Chain Management: Principles and Practice
by: Petropoulos, Fotios, et al.
Published: (2025)
by: Petropoulos, Fotios, et al.
Published: (2025)
Generative AI-Driven Decision-Making for Disease Control and Pandemic Preparedness Model 4.0 in Rural Communities of Bangladesh: Management Informatics Approach
by: Hosen, Mohammad Saddam, et al.
Published: (2025)
by: Hosen, Mohammad Saddam, et al.
Published: (2025)
Enhancing Food Safety in Supply Chains: The Potential Role of Large Language Models in Preventing Campylobacter Contamination
by: Tzachor, Asaf
Published: (2024)
by: Tzachor, Asaf
Published: (2024)
The Carbon Cost of Conversation, Sustainability in the Age of Language Models
by: Amiri, Sayed Mahbub Hasan, et al.
Published: (2025)
by: Amiri, Sayed Mahbub Hasan, et al.
Published: (2025)
Human-Aligned Calibration for AI-Assisted Decision Making
by: Benz, Nina L. Corvelo, et al.
Published: (2023)
by: Benz, Nina L. Corvelo, et al.
Published: (2023)
From Cradle to Cloud: A Life Cycle Review of AI's Environmental Footprint
by: Lambert, Katherine, et al.
Published: (2026)
by: Lambert, Katherine, et al.
Published: (2026)
Structured AI Decision-Making in Disaster Management
by: Dcruz, Julian Gerald, et al.
Published: (2025)
by: Dcruz, Julian Gerald, et al.
Published: (2025)
Multi-MedChain: Multi-Party Multi-Blockchain Medical Supply Chain Management System
by: Saini, Akanksha, et al.
Published: (2024)
by: Saini, Akanksha, et al.
Published: (2024)
Make Making Sustainable: Exploring Sustainability Practices, Challenges, and Opportunities in Making Activities
by: Yan, Zeyu, et al.
Published: (2025)
by: Yan, Zeyu, et al.
Published: (2025)
How Supply Chain Dependencies Complicate Bias Measurement and Accountability Attribution in AI Hiring Applications
by: Sharma, Gauri, et al.
Published: (2026)
by: Sharma, Gauri, et al.
Published: (2026)
Estimating The Carbon Footprint Of Digital Agriculture Deployment: A Parametric Bottom-Up Modelling Approach
by: La Rocca, Pierre, et al.
Published: (2024)
by: La Rocca, Pierre, et al.
Published: (2024)
An Interdisciplinary Survey on Information Flows in Supply Chains
by: Pennekamp, Jan, et al.
Published: (2023)
by: Pennekamp, Jan, et al.
Published: (2023)
Green Computing: The Ultimate Carbon Destroyer for a Sustainable Future
by: Amiri, Sayed Mahbub Hasan, et al.
Published: (2025)
by: Amiri, Sayed Mahbub Hasan, et al.
Published: (2025)
The Impact and Feasibility of Self-Confidence Shaping for AI-Assisted Decision-Making
by: Takayanagi, Takehiro, et al.
Published: (2025)
by: Takayanagi, Takehiro, et al.
Published: (2025)
An Analytics-Driven Approach to Enhancing Supply Chain Visibility with Graph Neural Networks and Federated Learning
by: Zheng, Ge, et al.
Published: (2025)
by: Zheng, Ge, et al.
Published: (2025)
Green Supply Chain Management Optimization Based on Chemical Industrial Clusters
by: Jihu, Lei
Published: (2024)
by: Jihu, Lei
Published: (2024)
Optimizing Nurse Scheduling: A Supply Chain Approach for Healthcare Institutions
by: Thomas, Jubin
Published: (2024)
by: Thomas, Jubin
Published: (2024)
The Sunk Carbon Fallacy: Rethinking Carbon Footprint Metrics for Effective Carbon-Aware Scheduling
by: Bashir, Noman, et al.
Published: (2024)
by: Bashir, Noman, et al.
Published: (2024)
From Silicon Shield to Carbon Lock-in ? The Environmental Footprint of Electronic Components Manufacturing in Taiwan (2015-2020)
by: Roussilhe, Gauthier, et al.
Published: (2022)
by: Roussilhe, Gauthier, et al.
Published: (2022)
LLMSpace: Carbon Footprint Modeling for Large Language Model Inference on LEO Satellites
by: Jiang, Lei, et al.
Published: (2026)
by: Jiang, Lei, et al.
Published: (2026)
Unlocking Fair Use in the Generative AI Supply Chain: A Systematized Literature Review
by: Mahuli, Amruta, et al.
Published: (2024)
by: Mahuli, Amruta, et al.
Published: (2024)
Similar Items
-
Designing and Deploying AI Models for Sustainable Logistics Optimization: A Case Study on Eco-Efficient Supply Chains in the USA
by: Shawon, Reza E Rabbi, et al.
Published: (2025) -
The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation
by: Aghaei, Raha, et al.
Published: (2025) -
Data governance: A Critical Foundation for Data Driven Decision-Making in Operations and Supply Chains
by: Li, Xuejiao, et al.
Published: (2024) -
Toward Sustainable Generative AI: A Scoping Review of Carbon Footprint and Environmental Impacts Across Training and Inference Stages
by: Kim, Min-Kyu, et al.
Published: (2025) -
Integrating AI's Carbon Footprint into Risk Management Frameworks: Strategies and Tools for Sustainable Compliance in Banking Sector
by: Tkachenko, Nataliya
Published: (2024)