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A Bi-Objective Tactical Planning Model for the Reverse Supply Chain of Durable Products

Title:

A Bi-Objective Tactical Planning Model for the Reverse Supply Chain of Durable Products

Khajavi Bajestani, Amir (2013) A Bi-Objective Tactical Planning Model for the Reverse Supply Chain of Durable Products. Masters thesis, Concordia University.

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Abstract

Recent environmental legislations and customer awareness on environmental impacts of landfill activities as well as the profitability of reverse supply chains (RSC) have drawn the attention of researchers and companies to RSC management. RSCs include the series of activities from acquiring a used product until its recovery and sending it back to the market. In this thesis, we propose an integrated RSC tactical planning model under the context of complex durable products. The durable products consist of various types of components. This attribute makes them subject to the all disposition options, including remanufacturing, part harvesting, material and bulk recycling. The proposed model decides on the coordinated decisions on acquisition, disassembly, grading, and disposition activities in the reverse supply chain. Unlike the majority of works in the literature, our contributions include two objective functions addressing both financial and environmental criteria. Furthermore, we also consider two quality levels for returns, as well as a multi-indenture structure for the end-of-life (EOL) products, and consequently all possible recovery options in the RSC. We formulate the problem as a bi-objective, multi-period mixed integer linear programming (MILP) model. We applied the proposed model to an academic case study in the context of an EOL electronic device. The bi-objective model is solved by the aid of the epsilon-constraint method and a set of non-dominated solutions are provided. Finally, we conduct a set of sensitivity analysis tests for each objective function in order to determine the most significant parameters that affect the financial and environmental criteria in this problem.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical and Industrial Engineering
Item Type:Thesis (Masters)
Authors:Khajavi Bajestani, Amir
Institution:Concordia University
Degree Name:M. Sc.
Program:Industrial Engineering
Date:25 June 2013
Thesis Supervisor(s):Kazemi Zanjani, Masoumeh
Keywords:Reverse supply chain; remanufacturing; production planning; durable products; bi-objective optimization; epsilon-constraint method
ID Code:977400
Deposited By: AMIR KHAJAVI BAJESTANI
Deposited On:18 Nov 2013 20:54
Last Modified:18 Jan 2018 17:44

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