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Agent-based model for end-of-life product flow analysis

Alexandre Labelle, Jean-Marc Frayret

Article (2018)

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Abstract

This paper presents an agent-based simulation model for end-of-life product flow analysis in recuperation and recycling supply networks that focuses on individual consumer behaviors. The simulation model is applied to a deposit-return program on wine bottles that could be developed in the province of Quebec. Canadian data was used to calibrate and validate the model. A series of experiments was then conducted with three artificial populations to analyse how they would react to several implementation scenarios of this end-of-life product flow strategy. The results suggest that the distance to the nearest depot is an important decision factor, but less predominant than the ownership of a private vehicle and the deposit value. The results also indicate that the use of agent-based modeling combined with the theory of planned behavior (TPB) can produce modular behavior models, that are intuitive and simple, to better understand consumer-behavior-driven supply chains. Such models can be used to give insights to decision-makers and policy-makers about the potential performance of end-of-life product flows strategies and further facilitate efficient resource management.

Uncontrolled Keywords

municipal solid waste; consumer behavior; agent-based modeling; simulation; deposit-return program; end-of-life product flow; recycling

Subjects: 1600 Industrial engineering > 1600 Industrial engineering
1600 Industrial engineering > 1603 Logistics
1600 Industrial engineering > 1604 Manufacturing
Department: Department of Mathematics and Industrial Engineering
PolyPublie URL: https://publications.polymtl.ca/3563/
Journal Title: Resources (vol. 7, no. 3)
Publisher: MDPI
DOI: 10.3390/resources7030042
Official URL: https://doi.org/10.3390/resources7030042
Date Deposited: 09 Mar 2020 10:50
Last Modified: 27 Nov 2022 12:46
Cite in APA 7: Labelle, A., & Frayret, J.-M. (2018). Agent-based model for end-of-life product flow analysis. Resources, 7(3), 1-20. https://doi.org/10.3390/resources7030042

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