Letitia M. Pohl
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: Kettering University (2016); Joint Base San Antonio (1991)
Faculty Researcher
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Letitia M. Pohl's research focuses on the performance analysis of automated storage and retrieval systems (ASRS). Her work has explored the operational efficiency of dual-crane ASRS configurations. Pohl has contributed to the academic literature with publications detailing analytical approaches to understanding system performance. Her scholarly output includes 17 publications, which have collectively garnered 318 citations. She holds an h-index of 6, indicating a consistent level of scholarly contribution. Pohl remains an active researcher, with her most recent publication dating to 2024.
Metrics
- h-index: 6
- Publications: 17
- Citations: 320
Selected Publications
-
Performance analysis for a dual-crane automated storage and retrieval system (2024)
-
Performance Analysis for A Dual-Crane Automated Storage and Retrieval System (2023)
-
From Classroom to Online to Hybrid: The Evolution of an Operations Management Course (2020)
-
Ergonomics Topics for the Undergraduate Classroom (2016)
-
Instructional Videos in an Online Engineering Economics Course (2015)
-
Turnover-based storage in non-traditional unit-load warehouse designs (2011)
-
A model to design a national high-speed rail network for freight distribution (2010)
-
Optimizing fishbone aisles for dual‐command operations in a warehouse (2009)
-
An analysis of dual-command operations in common warehouse designs (2008)
-
Multi-Objective Semiconductor Manufacturing Scheduling: A Random Keys Implementation of NSGA-II (2007)
Collaboration Network
Top Collaborators
- Performance analysis for a dual-crane automated storage and retrieval system
- Performance Analysis for A Dual-Crane Automated Storage and Retrieval System