About Dr. Jessye Talley

Associate Professor of Industrial and Systems Engineering,

Morgan State University

Dr. Jessye Talley is a three-time graduate of North Carolina Agricultural and Technical State University in the area of Industrial and Systems Engineering.

She is currently an Associate Professor of Industrial and Systems Engineering in the School of Engineering at Morgan State University where she leads the Risk, Optimization, Management, Evaluation (R.O.M.E) Lab.

Her research focuses on applying operations research methods to address supply chain management as well as utilizing qualitative methods for engineering education. Her current work has been funded by the National Science Foundation. 

Upon completion of her doctoral degree she co-founded Sisters Scholars with Dr. Orissa Massey to promote health and wellness during the doctorate and in academia. It is her desire to see more students complete the doctoral process and make it to the finish line.

Her experiences in academia prompted her to begin coaching new faculty during the first three years on tenure track. These years are crucial to the success of obtaining tenure. Dr. Talley loves to share with the next generation of engineers and STEM professionals. She also has a strong interest in encouraging other girls and women to obtain degrees in STEM fields.

Dr. Talley has also spoken at various national and international conferences, seminars, and serves on boards to positively impact her community. She believes that giving back helps to create a better world and opens up new opportunities to be the change we want to see. 

Additionally, Dr. Talley is a member of Institute of Industrial and Systems Engineers (IISE), and INFORMS.

Teaching & Mentoring

 

  • Kare’Collins – Comparing Process Improvement Techniques to Reduce Waiting Times at Morgan State University Campus Eatery (Graduated May 2016)

    Mahimmud Ibrahim- Modeling Wait Time at a Polling Place in Baltimore Using Waiting Line Model (Graduated May 2016)

    Jesscya Bracey- A Systematic Process for Warehousing and Receiving Products at the Home Depot (Graduated May 2018)

    Sache’ Martin-Effective Forecasting: Making Supply Meet Demand in a Family Owned Restaurant (Graduated May 2018)

    Christopher Miller (co-advised) – The Use of AngularJS with ASP.NET MVC 5 on Visual Studio to Create and Evaluate an Educational Website Application for Statistical Learning (Graduated May 2018)

  • IEGR 251 Probability and Statistics I

    This course includes introduction to statistics and data analysis, importance of probability and statistics to engineers, Descriptive statistics, inferential statistics, introduction to probability, probability laws, Discrete and Continuous Random variables and probability distributions, and Mathematical expectations.

    IEGR 350 Engineering Economy

    Cost concepts (i.e., total revenue, optimal demand, and maximum profit); The time value of money concept with equivalence involving present, future, and uniform series cash flows; Evaluation of single and mutually exclusive alternative projects/products utilizing present worth, future worth, annual worth, internal rate of return, and payback methods; and depreciation and income tax analyses

    IEGR 351 Probability and Statistics II

    Concept of Random Variables, Discrete Probability Distributions, Continuous Probability Distributions, Point Estimation, One and Two Sample Hypothesis Testing, Analysis of Variance, Completely Randomized Experiments, Randomized Complete Block Experiments, and Regression Analysis.

    IEGR 361 Introduction to Linear Programming

    Essentials of linear algebra including vectors and matrices manipulations & definitions; matrix operations, determinant of square matrix, inverse of a matrix; quadratic forms, principal minor; convex and concave functions and convex sets. Solving systems of linear equations; plotting linear equations and inequalities, graphical solutions, extreme points and feasible region; Introduction to linear programming and formulation of LP models, objective functions and constraints and optimal solutions; Principles of the simplex method; standard form, simplex method in tableau form, finding feasible solutions and performing iterations; computer solutions of LP.

    IEGR 367 Production and Operations Management

    Queuing Theory, Facility Location, Project Management, Work Measurement, Decision Analysis, Facility Design and Service Design

    IEGR 410 Simulation of Industrial and Systems Engineering

    Introduction to analytic modeling and discrete event simulation of queuing systems with associated statistical concepts. Applications to industrial system modeling include production systems, inventory analysis and other aids to decision making. One simulation language is covered in detail and several others are discussed with animation demonstrated.

    IEGR 461 Operations Research Deterministic Models

    Review of simplex method; sensitivity analysis, duality theory and applications in LP; parametric programming, integer programming, goal programming; transportation and assignment problems, network models;

    INEN 435 Stochastic Operations Research

    Decision Analysis, Queuing Theory, Markov Processes

  • IEGR 512 Project Management

    Project Life Cycle, Project Planning, Monitoring and Control, Project Termination

    IEGR 530 Advanced Simulation

    An up-to-date treatment of all the important aspects of simulation study, including modeling, simulation languages, validation, and output data analysis. Topics include selecting input probability distribution, random number generators, generating random variables, output data analysis, statistical techniques for comparing alternative systems, validation of simulation models, variance reduction techniques, and experimental design and optimization.