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 | Start Month | Session | Weeks |
|---|---|---|---|---|
| 09/28/2021 - 03/04/2022 | 03/07/2022 - 05/01/2022 | March | Winter 2022 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
| Name | Grade % |
|---|---|
| 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 % |
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
| Book Title: | There are no required books for this course. |
| Author: | No Author Specified |