Date of Award
Industrial and Manufacturing Systems Engineering
Cell phone remanufacturing, Remanufacturing, Reverse Logistics
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Reverse Logistics (RL) has been applied in many industries and sectors ever since its conception. Unlike Forward Logistics retracing consumer goods from the point of consumption to the point of inception is not a well-studied process. It involves many uncertainties such as time, quality and quantity of return. It is important to address these uncertainties to meet the economic, ecological and social challenges. The returned products can be remanufactured, can have parts harvested, or can be disposed safely. It is important to implement these activities in a cost-effective manner. The aim of this research is to measure the performance of the RL enterprise with the help of an Agent-based Modeling technique. The major entities in the RL network are considered as Agents that can act independently. There are several different agents: Collector Agent, Sorting-Cum-Reuse Agent, Remanufacturing Agent, Recycler Agent, Supplier Agent, and Distributor Agent. The individual performances of each agent are measured and recommendations are given to improve their performance, leading to the enhancement of the total performance of the RL enterprise. The solution approach is applied to a case study involving cell-phone remanufacturing.
Ravi Sankara Pandian, Gowtham Pandia Rajan, "Performance Evaluation of a Reverse Logistics Enterprise - An Agent-Based Modelling Approach" (2015). Electronic Theses and Dissertations. 5276.