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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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 |
work_keys_str_mv |
AT alexandrelabelle agentbasedmodelforendoflifeproductflowanalysis AT jeanmarcfrayret agentbasedmodelforendoflifeproductflowanalysis |
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1725546784465354752 |