Date of Award
2012
Publication Type
Master Thesis
Degree Name
M.A.Sc.
Department
Industrial and Manufacturing Systems Engineering
Keywords
Markov Decision Process, Outsourcing, Reverse Supply Chain, RL Network
Supervisor
Walid Abdul-Kader
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
This thesis addresses the qualitative investigation of the reverse logistics and outsourcing and a quantitative analysis of reverse logistic networks that covenant with the option of outsourcing or in-house remanufacturing. Two models are proposed with an objective of contributing to decision making process for reverse logistics outsourcing. The purpose is to find a set of decisions throughout the product life cycle that maximizes both outsourcing and in-house remanufacturing. These models will also verify two hypotheses: outsourcing is more likely to be an optimal solution when variance in return rate is high, and also when the product life cycle is short in length. Then, a solution approach is designed for solving this problem which follows MDP that considers the firm following a dynamic capacity model and also a stationary capacity model. Finally, computational analyses are performed to demonstrate the applicability of the model. Numerical results justify the two hypotheses.
Recommended Citation
Islam, Kingshuk Jubaer, "Outsourcing Evaluation in RL Network" (2012). Electronic Theses and Dissertations. 5347.
https://scholar.uwindsor.ca/etd/5347