Date of Award
12-2015
Culminating Project Type
Starred Paper
Degree Name
Engineering: M.E.M
Department
Mechanical and Manufacturing Engineering
College
College of Science and Engineering
First Advisor
Dr. Ben Baliga
Second Advisor
Dr. Hiral Shah
Third Advisor
Dr. Balasubramanian Kasi
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Keywords and Subject Headings
Reverse Logistics, Supply Chain, Optimization, Economy, Process Improvement, Large-scale Industrial Activity
Abstract
The purpose of the Reverse Logistic Optimization project is to achieve best in class logistics and repair capabilities by integrating with an insurance providing company as a reverse logistics return center for remorse returns for all channels to a cellular providing company. Product recovery, which comprises return, refurbish and repair processes, requires an efficient reverse logistic network.
One of the main characteristics of reverse logistics network problem is uncertainty that further amplifies the complexity of the problem. The degree of uncertainty in terms of the capacities, demands and quantity of products exists in reverse logistics parameters. The goal is to expedite the repair process, leverage their dynamic handling of blind receipts and improved Reverse Logistics Planning–Repair Plan and Kitting Plan to optimize cost and provide new opportunities for revenue creation. The benefits of integration and control will reduce costs in megabucks by optimizing the return, refurbish and repair processes. Very nearly all organizations expect an increment of administration consideration for reverse logistics, and the results demonstrate a substantial potential regarding outsider administration suppliers, including choice help devices around there. Besides, the paper also presents the analyzed hidden reasons for the general low turn around logistics execution and call attention to issues that need change.
Recommended Citation
Matthi, Venkata Hitesh, "Reverse Logistics Optimization" (2015). Culminating Projects in Mechanical and Manufacturing Engineering. 18.
https://repository.stcloudstate.edu/mme_etds/18
