Bio
Dr. Johnson does research in the healthcare and service supply chain areas through applying optimization and statistical models to enhance productivity and system effectiveness. Dr. Johnson has a BS, MS, and Ph.D. in Industrial Engineering with a concentration in Supply Chain Management and Operations Research from the University of Michigan-Ann Arbor and North Carolina A&T State University. Dr. Johnson also received an MBA from NC State University. Dr. Johnson is a member of the Decision Sciences Institute and has served as the Vice-President of Student Research for the Southeast Decision Sciences Institute.
Research Interests
Supply Chain and Decision Sciences Pedagogical Enhancements through Big Data Integration
Healthcare System and Service Supply Chain Optimization Using Mathematical and Statistical Models
Exploring Strategies to Increase Transportation Access to Improve Healthcare Outcomes
Establishing Drone Training Initiatives
Recent Publications
- Laquanda Johnson, Shengbin Wang, Linda Coley, Silvanus Udoka (2017). (Achieving Optimal Safety Inventory Levels for Oil Companies using the CONWIP Approach). In Dr. Md. Mamun Habib, (4) 6, pp. 17-21. International Journal of Supply Chain Management.
- Laquanda Johnson, Xiuli Qu (2017). (A Two-Stage Stochastic Programming Model for Phlebotomist Scheduling in Hospital Laboratories). In Sally Brailsford, Paul Harper, Fay Payton and Cindy Le Rouge, (3) 6, pp. 1-12. Health Systems.
- Laquanda Johnson (2017). (Inventory Management Applications for Healthcare Supply Chains). In Dr. Md. Mamun Habib, (3) 6, pp. 1-7. International Journal of Supply Chain Management.
- Laquanda Johnson (2016). (Predicting Tests Ordered in Hospital Laboratories Using Generalized Linear Modeling). (3) 94, pp. 49-55. Hospital Topics.
- Laquanda Johnson (2015). (Improving Hospital Laboratory Performance: Implications for Healthcare Managers). (2) 93, pp. 19-26. Hospital Topics.
- Laquanda Johnson, Xiuli Qu (2014). (Applying scenario reduction heuristics in stochastic programming for phlebotomist scheduling). (3) 8, pp. 1-4. Management Science and Engineering.
- Laquanda Johnson (2014). (Improving Laboratory Performance in Healthcare Delivery Systems through Optimal Stage Selection: The Analytic Network Process Approach). (3) 8, pp. 35-40. Management Science and Engineering.
