The profitability of Electronic waste (e-waste) recovery operations is quite challenging due to various sources of uncertainties in quantity, quality and timing of returns originating from consumers’ behavior. The cloud-based remanufacturing concept, data collection and information tracking technologies seems a promising solution toward proper collection and recovery of product life cycle data under uncertainty. A comprehensive model that takes every aspect of recovery systems into account will help policy makers perform better decisions over a planning horizon. The objective of this study is to develop an Agent Based Simulation (ABS) framework to model the overall product take-back and recovery system based on the product identity data available through cloud-based remanufacturing infrastructure. Socio-demographic properties of the consumers, attributes of the take-back programs, specific characteristics of the recovery process and product life cycle information have been considered to capture the optimum buyback price proposed for a product with the aim of controlling the timing and quality of incoming used products to collection sites for recovery. A numerical example of an electronic product take-back system and a simulation-based optimization are provided to illustrate the application of the model.
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ASME 2016 11th International Manufacturing Science and Engineering Conference
June 27–July 1, 2016
Blacksburg, Virginia, USA
Conference Sponsors:
- Manufacturing Engineering Division
ISBN:
978-0-7918-4991-0
PROCEEDINGS PAPER
Agent Based Simulation Optimization of Waste Electrical and Electronics Equipment Recovery
Ardeshir Raihanian Mashhadi,
Ardeshir Raihanian Mashhadi
University at Buffalo, SUNY, Buffalo, NY
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Sara Behdad,
Sara Behdad
University at Buffalo, SUNY, Buffalo, NY
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Jun Zhuang
Jun Zhuang
University at Buffalo, SUNY, Buffalo, NY
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Ardeshir Raihanian Mashhadi
University at Buffalo, SUNY, Buffalo, NY
Sara Behdad
University at Buffalo, SUNY, Buffalo, NY
Jun Zhuang
University at Buffalo, SUNY, Buffalo, NY
Paper No:
MSEC2016-8639, V003T08A017; 11 pages
Published Online:
September 27, 2016
Citation
Raihanian Mashhadi, A, Behdad, S, & Zhuang, J. "Agent Based Simulation Optimization of Waste Electrical and Electronics Equipment Recovery." Proceedings of the ASME 2016 11th International Manufacturing Science and Engineering Conference. Volume 3: Joint MSEC-NAMRC Symposia. Blacksburg, Virginia, USA. June 27–July 1, 2016. V003T08A017. ASME. https://doi.org/10.1115/MSEC2016-8639
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