1. Optimization of a Mixed-Model Assembly Sequencing Problem
Enrique M. Alameda-Basora- Undergraduate Research Assistant
Ge Guo- Graduate Assistant
Dr. Sarah Ryan- Faculty Mentor

2. Research Motivation and Objectives
1st model addressing unknown part availability
Help production schedulers make sequencing decisions
X Zhao, JHY Yeung & J XIE (2006) Sequence-to-customer goal with stochastic demands for a mixed-model assembly line, International Journal of Production Research, 44:24, , DOI: /

3. Model Assumptions

4. Model Formulation

5. Model Formulation

6. Model Formulation

7. Model Formulation

8. Model Formulation

9. Model Implementation PuLP is a library for python
Syntax is simple and intuitive
Focuses on linear and mixed-integer models

10. Constructing a Simple Test Case

11. Results

12. Future Research & Conclusion
Construct and test a multi-stage stochastic programming formulation
Incorporate model into online dashboards
Results show model is feasible and ready for the stochastic elements to be included