ISE 553 Modeling and Analysis of Supply Chains
 

Basic definitions and concepts of supply chains; models of production resources, focused on lead times, work in process inventories and throughput; role of inventories in the supply chain; management of inventories; planning and coordination in the supply chain. 3 credit hours.

 
   

• Prerequisite
 

Knowledge of calculus-based probability and statistics at the level of introductory courses in probability, statistics, and distribution theory (ST371/372). Ability to use software to solve engineering problems, such as Microsoft Excel.


• Course Objectives
 

The objective of the course is to expose students to the basic issues that need to be considered in operating supply chains, and a variety of modelling tools available for their analysis. Emphasis is on using engineering models to develop insights into the behavior of these systems.


• Course Requirements
 
  • The course will involve two mini-projects in which students will work in groups of three to develop a solution to an open-ended problem in the area of supply chain management. Off-campus students can work with other off-campus students or with on-campus students in their project groups. A formal technical report will be required for each project. (30% of course grade)
  • Periodic homework assignments (10% of course grade). There will be approximately 6-8 assignments over the course of the semester that will involve significant computer usage.
  • Two midterm exams (15% of course grade each) and a comprehensive final exam (30% of course grade).

• Textbook
 

Snyder, L., Shen, Z. J. M., Fundamentals of Supply Chain Theory, John Wiley, 2011.

Students will also be required to purchase a course package containing the case studies used in the mini-
projects. A number of articles will also be used; students can obtain these electronically from the NCSU Libraries.


• Computer and Internet Requirements
 

NCSU and Engineering Online have recommended minimum specifications for computers. For details, click here.


• Instructor
 

Dr. Reha Uzsoy, Professor
Fitts Dept of Industrial and Systems Engineering
Box 7906
NCSU Campus
Raleigh, NC 27695

Phone: 919-513-1681
Email: ruzsoy@ncsu.edu