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

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 o...

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Main Authors: Alexandre Labelle, Jean-Marc Frayret
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Resources
Subjects:
Online Access:http://www.mdpi.com/2079-9276/7/3/42
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spelling doaj-6b48bd34dbc648f48962412f808f07452020-11-24T23:29:03ZengMDPI AGResources2079-92762018-07-01734210.3390/resources7030042resources7030042Agent-Based Model for End-of-Life Product Flow AnalysisAlexandre Labelle0Jean-Marc Frayret1Département de Mathématiques et Génie Industriel, École Polytechnique de Montréal, 2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, CanadaDépartement de Mathématiques et Génie Industriel, École Polytechnique de Montréal, 2900 Boulevard Edouard-Montpetit, Montréal, QC H3T 1J4, CanadaThis 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.http://www.mdpi.com/2079-9276/7/3/42municipal solid wasteconsumer behavioragent-based modelingsimulationdeposit-return programend-of-life product flowrecycling
collection DOAJ
language English
format Article
sources DOAJ
author Alexandre Labelle
Jean-Marc Frayret
spellingShingle Alexandre Labelle
Jean-Marc Frayret
Agent-Based Model for End-of-Life Product Flow Analysis
Resources
municipal solid waste
consumer behavior
agent-based modeling
simulation
deposit-return program
end-of-life product flow
recycling
author_facet Alexandre Labelle
Jean-Marc Frayret
author_sort Alexandre Labelle
title Agent-Based Model for End-of-Life Product Flow Analysis
title_short Agent-Based Model for End-of-Life Product Flow Analysis
title_full Agent-Based Model for End-of-Life Product Flow Analysis
title_fullStr Agent-Based Model for End-of-Life Product Flow Analysis
title_full_unstemmed Agent-Based Model for End-of-Life Product Flow Analysis
title_sort agent-based model for end-of-life product flow analysis
publisher MDPI AG
series Resources
issn 2079-9276
publishDate 2018-07-01
description 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.
topic municipal solid waste
consumer behavior
agent-based modeling
simulation
deposit-return program
end-of-life product flow
recycling
url http://www.mdpi.com/2079-9276/7/3/42
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