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RLMT502 - Decision Making Strategies in Reverse Logistics Management

Course Details

Course Code: RLMT502 Course ID: 4316 Credit Hours: 3 Level: Graduate

This course investigates the advanced analysis methods and techniques used to solve the pricing and packing needs of products entering the reverse logistics supply chain. The course emphasizes the most successful methods from business statistics, production and operations management, management science, and operations research fields of study. Students will be required to synthesize material from several major fields of study in order to apply it in this course. Methods of analysis will be investigated to solve these problems including probability concepts and their applications, statistical quality control, process design, forecasting, inventory control, waiting line models, transportation and assignment methods, decision analysis, and simulation modeling





Course Schedule

Registration Dates Course Dates Session Weeks
06/24/19 - 11/29/19 12/02/19 - 01/26/20 Fall 2019 Session D 8 Week session
09/30/19 - 02/28/20 03/02/20 - 04/26/20 Winter 2020 Session D 8 Week session

Current Syllabi

After successfully completing this course, students will fulfill the following Learning Objectives (L.O.):

LO-1 Explain reverse logistics

LO-2 Outline best practices in reverse logistics

LO-3 Describe the importance of statistical process control in customer service returns and after service customer support as applied to reverse logistics

LO-4 Analyze organizational structure to apply to reverse logistics

LO-5 Analyze leadership strategies that support reverse logistics

LO-6 Describe decision making processes in reverse logistics

LO-7 Understand future business needs of reverse logistics

NameGrade %
Forums 32.00 %
Week 1 Forum 4.00 %
Week 2 Forum 4.00 %
Week 3 Forum 4.00 %
Week 4 Forum 4.00 %
Week 5 Forum 4.00 %
Week 6 Forum 4.00 %
Week 7 Forum 4.00 %
Week 8 Forum 4.00 %
Term Project Paper 24.00 %
Assignment 8: Week 8: Term Project Paper 24.00 %
Term Project Outlines 12.00 %
Assignment 3: Week 3: Term Project Part 1 - Outline 4.00 %
Assignment 4: Week 4: Term Project Part 2 - Abstract and Detailed Outline 4.00 %
Assignment 5: Week 5: Term Project Part 3 - Referenced Outline 4.00 %
Weekly Paper Assignments 32.00 %
Assignment 1: Week 2: Paper 1 8.00 %
Assignment 2: Week 3: Paper 2 8.00 %
Assignment 6: Week 6: Paper 3 8.00 %
Assignment 7: Week 7: Paper 4 8.00 %
Book Title: There are no required books for this course.
Author: N/A
Publication Info: N/A
ISBN: N/A

Book Title:There are no required books for this course.
Author: No Author Specified

Previous Syllabi

Not current for future courses.