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Biography and Research Information
OverviewAI-generated summary
Julianna Bright's research focuses on developing multicriteria models for assessing item importance and risk within military supply chains, utilizing operational data. Her work aims to enhance decision-making processes by providing a structured approach to evaluating complex logistical scenarios. She has co-authored two publications, with one shared with collaborator Manuel D. Rossetti from the University of Arkansas at Fayetteville. Bright's scholarly contributions have garnered a total of three citations, and her academic profile includes an h-index of 1.
Metrics
- h-index: 1
- Publications: 2
- Citations: 3
Positions
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Dr Claire Bright 2019–presentUniversidade Nova de Lisboa Law Department ORCID
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Associate Research Fellow in Business and Human Rights 2019–presentBritish Institute of International and Comparative Law ORCID
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Dr Claire Bright publications 2019University of Arkansas at Fayetteville ORCID
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Max Weber Research Fellow 2018–2019European University Institute Law ORCID
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Lecturer 2015–2018London School of Business and Management Law ORCID
Selected Publications
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A multicriteria model for assessing item importance and risk using operational data from military supply chains (2024)
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Analyzing Pre-Positioning Within a Disrupted Bulk Petroleum Supply Chain (2019)
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BULK PETROLEUM SUPPLY CHAIN SIMULATION MODELING (2018)
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Bulk petroleum supply chain simulation modeling (2018)
Collaboration Network
Top Collaborators
- Analyzing Pre-Positioning Within a Disrupted Bulk Petroleum Supply Chain
- BULK PETROLEUM SUPPLY CHAIN SIMULATION MODELING
- Bulk petroleum supply chain simulation modeling
- A multicriteria model for assessing item importance and risk using operational data from military supply chains
- A multicriteria model for assessing item importance and risk using operational data from military supply chains
- A multicriteria model for assessing item importance and risk using operational data from military supply chains
- A multicriteria model for assessing item importance and risk using operational data from military supply chains
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