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Agent-Based Model for End-of-Life Product Flow Analysis

Author

Listed:
  • Alexandre Labelle

    (Département de Mathématiques et Génie Industriel, École Polytechnique de Montréal, 2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada)

  • Jean-Marc Frayret

    (Département de Mathématiques et Génie Industriel, École Polytechnique de Montréal, 2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada)

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.

Suggested Citation

  • Alexandre Labelle & Jean-Marc Frayret, 2018. "Agent-Based Model for End-of-Life Product Flow Analysis," Resources, MDPI, vol. 7(3), pages 1-20, July.
  • Handle: RePEc:gam:jresou:v:7:y:2018:i:3:p:42-:d:157708
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    References listed on IDEAS

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    1. Pyddoke, Roger & Creutzer, Christopher, 2014. "Household car ownership in urban and rural areas in Sweden 1999–2008," Working papers in Transport Economics 2014:21, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
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