Laquanda Leaven Johnson

Bio

Dr. Leaven Johnson is a member of the Institute of Industrial Engineers, Southeast Decision Sciences Institute where she serves as Vice-President of Student Research, Council of Supply Chain Management Professionals, and The Institute for Operations Research and the Management Sciences.

Research Interests

Healthcare and Service Systems with focuses including: Scheduling and Supply Chain Management, Deterministic Optimization, Statistical Analysis, Stochastic Programming, and Business and Engineering Education

External URL

http://www.ncat.edu/faculty/ltleaven.html

Recent Publications

• Laquanda Johnson (2019). (Enhancing the Delivery of Quantitative Based Supply Chain Topics Using Computer-Mediated Communication). (omputer Mediated Communication in Business: Theory to Practice) ).
• 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, 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.
• Linda Coley, Laquanda Johnson, Silvanus Udoka, Shengbin Wang (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 (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.