Objectives: The undergraduate program of ISE will provide students with theoretical knowledge, and practice on designing, operating, improving and optimizing production and service systems.
1. IU Program (4 years at IU)
Degree: Bachelor of Industrial and Systems Engineering awarded by the International University
2. Partner Programs (2 years at IU + 2 years at IU overseas partner universities)
Degree: Bachelor of Industrial and Systems Engineering awarded by the overseas partner universities such as Rutgers University, The State University of New Jersey and University at Binghamton, The State University of New York (USA).
After graduated, students will be able to:
- Pursue higher education by successfully competing for prestigious scholarships to enter world class programs abroad, or
- Become outstanding industrial and systems engineers who can find jobs in Production, Material and Inventory, Logistics and Supply Chain, Quality Management, Planning & Scheduling, Design & Layout fields and in a number of organizations/agencies:
- Manufacturing fields: Foreign companies, state-owned and private enterprises;
- Service fields: Hospital, hotel, airport, retail services and distribution;
- Research & Development: Universities, training and research centers;
- Governmental organizations (national and provincial) such as Ministry/Department of Science and Technology, Department of Transport and Communication;
- Project management units of national and international projects related to industrial fields.
- Research Orientation
- Multi-Criteria Decision Making: Establishing and solving multi-objective and multi-criteria decision making problems with applications in management and engineering.
- Optimization for Scheduling and Sequencing for service and manufacturing systems: Establishing and solving scheduling & sequencing problems.
- Mathematical Programming and Operations Research: Integer programming, Nonlinear programming, Convex Analysis and Generalized Convexity, Nonsmooth Analysis, Variational Inequality and Equilibrium Problems. Applying Linear and Nonlinear programming in manufacturing fields.
- Logistics & Supply Chain Management: Transportation problems, Supply chain design problems, Supply chain optimization problems.
- Simulation and Modeling: Simulation and Modeling complicated service and manufacturing systems using discrete simulation techniques; Integrating simulation techniques and optimization techniques; Simulation of transportation systems, service systems and supermarkets
- Applications of Local Search Optimization: Genetic Algorithms, Tabu Search Algorithms, Simulated Annealing Algorithms, Ant Cology Algorithms, and apply to optimization manufacturing and service problems.