Heather Nachtmann
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor
Also affiliated: Pennsylvania State University (2020); North Carolina State University (2020); University of Alaska Anchorage (2024); Southeast Missouri State University (2020); University of Pittsburgh (1999–2024); Lehigh University (2020); Kansas State University (2024); Wichita State University (2020); University of Pittsburgh at Johnstown (2020)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Dr. Heather Nachtmann is a professor of industrial engineering at the University of Arkansas and holds the Earl J. and Lillian P. Dyess Endowed Chair in Engineering. She directs the Maritime Transportation Research and Education Center (MarTREC), a U.S. Department of Transportation University Transportation Center, and the Mack-Blackwell Transportation Center. Her research interests include the economic and operations analysis of inland waterways, advanced mobility, and data analytics for transportation systems. Nachtmann also teaches engineering economic analysis.
Her scholarly work includes over ninety-two peer-reviewed publications, with an h-index of 18 and over 1,800 citations. She has served as principal investigator on research projects totaling more than nineteen million dollars, including a $7,000,000 grant from the National Science Foundation for the E-RISE Rll: Arkansas Smart Transportation Research Incubator through Data Engineering and Science. Nachtmann is recognized as a Fellow of the American Society for Engineering Management and the Institute of Industrial and Systems Engineers, and an Arkansas Research Alliance Fellow. She also contributes to transportation policy and research as a member of the Arkansas State Highway and Transportation Department Research Advisory Council and the National Science Foundation Engineering Research Visioning Alliance Standing Council.
Metrics
- h-index: 18
- Publications: 92
- Citations: 1,879
Positions
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Professor 2013–presentUniversity of Arkansas at Fayetteville Industrial Engineering ORCID
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Associate Professor 2005–2013University of Arkansas at Fayetteville Industrial Engineering ORCID
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Assistant Professor 2000–2005University of Arkansas at Fayetteville Industrial Engineering ORCID
Selected Publications
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Assessing Container on Barge Readiness within Maritime Transportation Systems (2025)
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Forecasting Inland Waterway Container on Barge Volume: A Machine Learning Approach Using Economic Features (2025)
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Value-Focused Assessment of Container on Barge Freight Transportation Readiness (2024)
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System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System (2023)
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An alternative solution to congestion relief of U.S. seaports by container-on-barge: A simulation study (2023)
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Economic Impact of Investment Scenarios in the McClellan-Kerr Arkansas River Navigation System (2022)
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Letter from the Editor (2021)
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Literature review and comparative analysis of inland waterways transport: “Container on Barge” (2021)
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Value-Focused Inland Waterway Infrastructure Investment Decisions (2021)
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A tabu search approach to the cargo prioritisation and terminal allocation problem (2020)
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Hybrid simulation to support interdependence modeling of a multimodal transportation network (2020)
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A Heuristic Approach to Managing Inland Waterway Disruption (2020)
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A tabu search approach to the cargo prioritisation and terminal allocation problem (2020)
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A computational comparison of cargo prioritization and terminal allocation problem models (2020)
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Integrating Research Into The Cost Engineering Classroom (2020)
ARA Academy 2023 ARA Fellow
Dr. Nachtmann directs the Maritime Transportation Research and Education Center (MarTREC), a U.S. DOT University Transportation Center, and the Mack-Blackwell Transportation Center. Her research encompasses economic and operations analysis of inland waterways, advanced mobility, and data science for transportation systems.
Policy Impact
Directs the U.S. DOT Maritime Transportation Research and Education Center, strengthening Arkansas's position in transportation logistics and inland waterway commerce.
Growth Areas
['Next Gen Transportation & Logistics Systems', 'Supply Chain Retail & Consumer Analytics']
Resources
Federal Grants 1 $7,000,000 total
E-RISE Rll: Arkansas Smart Transportation Research Incubator through Data Engineering and Science
Collaboration Network
Top Collaborators
- Analysis of a parallel machine scheduling problem with sequence dependent setup times and job availability intervals
- Improving Healthcare Supply Chain Processes Via Data Standardization
- Quality Measurement in the Healthcare Supply Chain
- Optimal Dredge Fleet Scheduling within Environmental Work Windows
- Time-driven activity-based costing for health care provider supply chains
Showing 5 of 11 shared publications
- Cargo prioritization and terminal allocation problem for inland waterway disruptions
- Value-Focused Assessment of Cargo Value Decreasing Rates
- Development of a balanced scorecard for flight line maintenance activities
- Economic Analysis of Disruptions on the Mississippi River: An Engineering Economy Educational Case Study
- A tabu search approach to the cargo prioritisation and terminal allocation problem
- Fuzzy reliability in conceptual design
- Development of a balanced scorecard for flight line maintenance activities
- A 0-1 quadratic programme for the case of missing data in regression
- Investigating Engineering Student Estimation Processes: A Pilot Study
- Economic impact analysis of inland waterway disruption response
- Modeling dynamic behavior of navigable inland waterways
- Value-Focused Inland Waterway Infrastructure Investment Decisions
- Economic Impact of Investment Scenarios in the McClellan-Kerr Arkansas River Navigation System
- Hybrid simulation to support interdependence modeling of a multimodal transportation network
- System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System
- An alternative solution to congestion relief of U.S. seaports by container-on-barge: A simulation study
- Hybrid Simulation to Support Interdependence Modeling of a Multimodal Transportation Network
- Literature review and comparative analysis of inland waterways transport: “Container on Barge”
- An alternative solution to congestion relief of U.S. seaports by container-on-barge: A simulation study
- Forecasting Inland Waterway Container on Barge Volume: A Machine Learning Approach Using Economic Features
- Value-Focused Assessment of Container on Barge Freight Transportation Readiness
- Improving Healthcare Supply Chain Processes Via Data Standardization
- Quality Measurement in the Healthcare Supply Chain
- A 0-1 quadratic programme for the case of missing data in regression
- SUPPLY CHAIN INFORMATION SHARING IN A VENDOR MANAGED INVENTORY PARTNERSHIP
- Measuring the impact of inaccurate inventory information on a retail outlet
- THE IMPACT OF POINT‐OF‐SALE DATA INACCURACY AND INVENTORY RECORD DATA ERRORS
- METHODS FOR HANDLING UNCERTAINTY IN ACTIVITY BASED COSTING SYSTEMS
- Implementing Activity-Based Costing Systems in Small Manufacturing Firms: A Field Study
- FUZZY ACTIVITY BASED COSTING: A METHODOLOGY FOR HANDLING UNCERTAINTY IN ACTIVITY BASED COSTING SYSTEMS
- Analysis of a parallel machine scheduling problem with sequence dependent setup times and job availability intervals
- Optimal Dredge Fleet Scheduling within Environmental Work Windows
- A computational comparison of cargo prioritization and terminal allocation problem models
- Hybrid simulation to support interdependence modeling of a multimodal transportation network
- System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System
- Hybrid Simulation to Support Interdependence Modeling of a Multimodal Transportation Network
- The use of multi‐attribute utility theory to determine the overall best‐in‐class performer in a benchmarking study
- Development of a balanced scorecard for flight line maintenance activities
- The students-recruiting-students undergraduate engineering recruiting programme
- Investigating Engineering Student Estimation Processes: A Pilot Study
- Analysis of a parallel machine scheduling problem with sequence dependent setup times and job availability intervals
- Optimal Dredge Fleet Scheduling within Environmental Work Windows
- A Look Into The Engineering Economy Education Literature
- A Look into the Engineering Economy Classroom
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