Graduate Studies Reports Access
Graduate Course Proposal Form Submission Detail - ESI6457
Tracking Number - 1826
Edit function not enabled for this course.
Approved, Permanent Archive - 2006-01-15
Course Change Information (for course changes only):
- Date & Time Submitted: 2005-10-02
- Department: Industrial and Mangement Systems Engineering
- College: EN
- Budget Account Number: 2103-000-00
- Contact Person: Dr. Michael Weng
- Phone: 45575
- Email: email@example.com
- Prefix: ESI
- Number: 6457
- Full Title: Engineering the Supply Chain
- Credit Hours: 3
- Section Type: C -
Class Lecture (Primarily)
- Is the course title variable?: N
- Is a permit required for registration?: N
- Are the credit hours variable?: N
- Is this course repeatable?:
- If repeatable, how many times?: 0
- Abbreviated Title (30 characters maximum): Engineering the Supply Chain
- Course Online?: -
- Percentage Online:
- Grading Option:
R - Regular
- Prerequisites: ESI 4312 or equivalent
- Corequisites: None
- Course Description: The course will focus on the discussion of analytical optimization models and tools. To learn how logistical decisions impact the performance of a firm as well as an entire supply chain. To understand supply chain structures and logistical capacities.
- Please briefly explain why it is necessary and/or desirable to add this course: This course offers advanced instruction in the tools of industrial engineering focusing on modeling and network optimization using linear programming and other optimization tools as they apply to complex supply chain systems.
- What is the need or demand for this course? (Indicate if this course is part of a required sequence in the major.) What other programs would this course service? This course serves as an elective in the IMSE Department for the MSIE, MSEM, and PhD-IE programs.
- Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times? Yes. Twice.
- What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.) The instructor should possess the following qualifications at a minimum:
A master's degree in Industrial Engineering or other technical discipline, plus experience in a relevant technical environment with a focus on quantitative aspects of supply chain systems. An individual with an earned PhD with the above listed expertise is preferred.
- Objectives: To learn how optimization tools can assist logistics decisions. To understand how logistical decisions impact the performance of a firm as well as an entire supply chain. To understand the link between supply chain structures and logistical capacities in a firm or supply chain.
- Learning Outcomes: Students will become familiar with advanced optimization tools and techniques in the context of implementation and application of modeling systems for complex supply chains.
- Major Topics: Supply Chain Management, Integrated Planning and Models; Linear Programming Optimization Models; Mixed Integer Programming Optimization Models; Unified Optimization Methodology for Operational Planning; Supply Chain Decision Databases; Strategic and Tactical Supply Chain Planning; Integration of Financial and Physical Supply Chains; Operational Supply Chain Planning; Inventory Management; Organizational Adaptation to Optimization Modeling Systems;
- Textbooks: Title: Modeling the Supply Chain; Author: Jeremy F. Shapiro; Publisher: Duxbury Press; ISBN: 0534373631;
- Course Readings, Online Resources, and Other Purchases:
- Student Expectations/Requirements and Grading Policy:
- Assignments, Exams and Tests:
- Attendance Policy:
- Policy on Make-up Work:
- Program This Course Supports:
- Course Concurrence Information: