Date of Award
Industrial and Manufacturing Systems Engineering
Markov Decision Process, Outsourcing, Reverse Supply Chain, RL Network
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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.
Islam, Kingshuk Jubaer, "Outsourcing Evaluation in RL Network" (2012). Electronic Theses and Dissertations. 5347.