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Resources 2018, 7(3), 42;

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

Département de Mathématiques et Génie Industriel, École Polytechnique de Montréal, 2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, Canada
Author to whom correspondence should be addressed.
Received: 1 June 2018 / Revised: 4 July 2018 / Accepted: 6 July 2018 / Published: 12 July 2018
(This article belongs to the Special Issue Renewable Resources, Clean Resources, Future Resources)
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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. View Full-Text
Keywords: municipal solid waste; consumer behavior; agent-based modeling; simulation; deposit-return program; end-of-life product flow; recycling municipal solid waste; consumer behavior; agent-based modeling; simulation; deposit-return program; end-of-life product flow; recycling

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Labelle, A.; Frayret, J.-M. Agent-Based Model for End-of-Life Product Flow Analysis. Resources 2018, 7, 42.

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