Graduation Semester and Year
2013
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Management Science
Department
Information Systems and Operations Management
First Advisor
Gregory Frazier
Abstract
A remanufacturer struggles with uncertainty of returns and quality of products. With regard to the remanufacturing process, this study focuses on the determination of the following policies: a) Acquisition policy and b) Sorting policy. The purpose of this study is to find the optimality of both acquisition and sorting which, to meet demand with the maximization of profits over time, may need to be changed. More specific research questions are as follows: a) How much product returns should be obtained to meet demand through remanufacturing?, b) What level of sorting discrimination should be used for disassembly to meet demand at minimal cost?, c) How should constrained capacities be incorporated in the decision making model?, d) How should multiple suppliers with different quality mixes be incorporated in the decision making model?, and e) How should a secondary market for disassembled parts be incorporated in the decision making model?. For the model test, numerical example with sensitivity analysis is used.
Disciplines
Business | Management Information Systems
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Kang, Taeuk, "Balancing Acquisition And Sorting Policies Of Remanufacturing" (2013). Information Systems & Operations Management Dissertations. 37.
https://mavmatrix.uta.edu/infosystemsopmanage_dissertations/37
Comments
Degree granted by The University of Texas at Arlington