Laquanda Temeca Leaven

TitleAssistant Professor

DepartmentMarketing, Transportation & Supply Chain

Phone336-285-3401

Emailltleaven@ncat.edu

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

OfficeMerrick Hall
Room: 337

1601 East Market Street
Greensboro, NC 27411

Laquanda Temeca Leaven

Education

Ph D: Industrial and Systems Engineering, North Carolina A&T State University, 2013

MS: Industrial and Systems Engineering, North Carolina A&T State University, 2010

BS: Industrial and Operations Engineering, University of Michigan, 2009


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


Recent Publications

Leaven,  Laquanda  Wang,  Shengbin  Coley,  Linda  Udoka,  Silvanus  ( 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.

Leaven,  Laquanda  ( 2017).  Inventory Management Applications for Healthcare Supply Chains.  In Dr. Md. Mamun Habib  ( 3,  6,  pp. 1-7).   International Journal of Supply Chain Management.

Leaven,  Laquanda  Qu,  Xiuli  ( 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.

Leaven,  Laquanda  ( 2016).  Predicting Tests Ordered in Hospital Laboratories Using Generalized Linear Modeling.  ( 3,  94,  pp. 49-55).   Hospital Topics.

Leaven,  Laquanda  ( 2015).  Improving Hospital Laboratory Performance: Implications for Healthcare Managers.  ( 2,  93,  pp. 19-26).   Hospital Topics.

Leaven,  Laquanda  Qu,  Xiuli  ( 2014).  Applying scenario reduction heuristics in stochastic programming for phlebotomist scheduling.  ( 3,  8,  pp. 1-4).   Management Science and Engineering.

Leaven,  Laquanda  ( 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.