Title |
A simulation model of consumer take-back decisions regarding product design |
ID_Doc |
17551 |
Authors |
Green, JJ; Günay, EE; Kremer, GEO |
Title |
A simulation model of consumer take-back decisions regarding product design |
Year |
2019 |
Published |
|
DOI |
10.1016/j.promfg.2019.04.084 |
Abstract |
Companies utilize reverse logistic (RL) networks in order to reduce their carbon emission and increase their contributions to sustainability. Utilization of these networks heavily depends on product design, end-of-life options, and consumer decisions on product take-back. Joint consideration of consumer decisions and RL networks to enhance sustainability in products is where this study contributes to the literature. We develop a hybrid agent-based and discrete event simulation model to explore the impact of consumer decisions on total cost and carbon emission at the early stage of product design. The agent-based model simulates the consumer decisions on product take-back systems in order to determine the quantity of returns while the discrete event simulation models the end of life (EoL) options for products. Different product design options are incorporated to the model to investigate the impact of modularity on quantity of returns, total cost, and carbon footprint. (C) 2019 The Authors. Published by Elsevier B.V. |
Author Keywords |
Agent-based modelling; end-of-life options; consumer behavior; product design; discreate event simulation |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
EID |
WOS:000560232900085 |
WoS Category |
Green & Sustainable Science & Technology; Engineering, Manufacturing |
Research Area |
Science & Technology - Other Topics; Engineering |
PDF |
https://doi.org/10.1016/j.promfg.2019.04.084
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