TY - GEN
T1 - Simulation-based evolution of municipal glass-waste collection strategies utilizing electric trucks
AU - Vonolfen, Stefan
AU - Affenzeller, Michael
AU - Beham, Andreas
AU - Wagner, Stefan
AU - Lengauer, Efrem
N1 - Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - In urban areas freight transport imposes many social and environmental issues. Solid waste collection accounts for a considerable amount of freight transportation in municipal areas. We propose a simulation-based approach to evaluate different scenarios where electric trucks replace conventional trucks for the collection of municipal glass-waste. Under special consideration of the characteristics of electric trucks, the simulation of real-time fill level information is used and coupled with an optimization component to evolve adapted waste collection strategies. We illustrate our approach on two test-scenarios based on real-world data. We use the simulation model to evaluate several scenarios in terms of costs and environmental impact and the optimization environment to generate collection strategies that minimize those performance figures while maintaining a given service quality.
AB - In urban areas freight transport imposes many social and environmental issues. Solid waste collection accounts for a considerable amount of freight transportation in municipal areas. We propose a simulation-based approach to evaluate different scenarios where electric trucks replace conventional trucks for the collection of municipal glass-waste. Under special consideration of the characteristics of electric trucks, the simulation of real-time fill level information is used and coupled with an optimization component to evolve adapted waste collection strategies. We illustrate our approach on two test-scenarios based on real-world data. We use the simulation model to evaluate several scenarios in terms of costs and environmental impact and the optimization environment to generate collection strategies that minimize those performance figures while maintaining a given service quality.
KW - electric trucks
KW - inventory routing
KW - Simulation-based optimization
KW - waste management
UR - http://www.scopus.com/inward/record.url?scp=80555149876&partnerID=8YFLogxK
U2 - 10.1109/LINDI.2011.6031142
DO - 10.1109/LINDI.2011.6031142
M3 - Conference contribution
SN - 9781457718410
T3 - LINDI 2011 - 3rd IEEE International Symposium on Logistics and Industrial Informatics, Proceedings
SP - 177
EP - 182
BT - LINDI 2011 - 3rd IEEE International Symposium on Logistics and Industrial Informatics, Proceedings
T2 - 3rd IEEE International Symposium on Logistics and Industrial Informatics, LINDI 2011
Y2 - 25 August 2011 through 27 August 2011
ER -
