Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-20T02:30:56.471Z Has data issue: false hasContentIssue false

TRANSPORT EFFICIENCY OF DELIVERY TRUCKS: A STUDY OF COUPLING VEHICLE DESIGN AND TRANSPORT SYSTEM THROUGH FUNCTIONAL MODELLING AND OPTIMISATION

Published online by Cambridge University Press:  19 June 2023

Khashayar Shahrezaei*
Affiliation:
KTH Royal Institute of Technology, Department of Engineering Mechanics, Teknikringen 8, SE- 100 44 Stockholm; The Centre for ECO2 Vehicle Design at KTH, Teknikringen 8, SE-100 44, Stockholm, Sweden
Ciarán J. O'Reilly
Affiliation:
KTH Royal Institute of Technology, Department of Engineering Mechanics, Teknikringen 8, SE- 100 44 Stockholm; The Centre for ECO2 Vehicle Design at KTH, Teknikringen 8, SE-100 44, Stockholm, Sweden
Timo Lähivaara
Affiliation:
Department of Technical Physics, University of Eastern Finland, P.O. Box 1627, FIN-70211 Kuopio, Finland
Peter Göransson
Affiliation:
KTH Royal Institute of Technology, Department of Engineering Mechanics, Teknikringen 8, SE- 100 44 Stockholm; The Centre for ECO2 Vehicle Design at KTH, Teknikringen 8, SE-100 44, Stockholm, Sweden
*
Shahrezaei, Khashayar, KTH Royal Institute of Technology, Sweden, [email protected]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

To enable the emergence of new and efficient vehicle design from the transport system perspective, a formulation of a multifunctional vehicle-transport design optimisation problem is presented. System- wide measures of transportation and vehicle efficiency measures are conceptually considered in an integrative design approach to drive the transport solutions towards more resource-efficient and eventually more sustainable solutions. Considered efficiency measures associated with the system-wide aspect are namely, productivity and service efficiency, and measures associated with vehicle attributes are namely mass and shape efficiency. The conflicting nature of these measures is balanced using optimisation methodologies through multiple transportation scenarios with varying transport demand and deterministic drive cycles. The obtained optimisation results demonstrated that there is a strong interconnectivity between the vehicle's overall configuration and transportation aspects. Thus, conceptually demonstrating how the inclusion of various transport-vehicle efficiency measures simultaneously in an integrative design approach during the early vehicle design may yield a more efficient and better overall system performance.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

References

Anders, S. and Benhard, T. (1997), “A framework efficiency model for goods transportation, with an application to regional less-than-truckload distribution”, Transport Logistics, pp. 139151.Google Scholar
Baldacci, R., Battarra, M. and Vigo, D. (2009), “Valid inequalities for the fleet size and mix vehicle routing problem with fixed costs”, Networks, Vol. 54 No. 4, pp. 178189, http://doi.org/10.1002/net.20331.CrossRefGoogle Scholar
Bookbinder, J.H. and Reece, K.E. (1988), “Vehicle routing considerations in distribution system design”, Euro¬pean Journal of Operational Research, Vol. 37 No. 2, pp. 204213, http://doi.org/10.1016/0377-2217(88)90330-X.CrossRefGoogle Scholar
Bouchouireb, H. (2023), Life Cycle Energy Optimisation: A multidisciplinary engineering design optimisation framework for sustainable vehicle development, Ph.D. thesis, KTH Royal Institute of Technology.Google Scholar
Bouchouireb, H., Jank, M.H., OReilly, C.J., Goransson, P., Schoggl, J.P., Baumgartner, R.J. and Potting, J. (2021), “The Inclusion of End-of-Life Modeling in the Life Cycle Energy Optimization Methodology”, Journal of Mechanical Design, Vol. 143 No. 5, p. 052002, http://doi.org/10.1115/L4048447.CrossRefGoogle Scholar
Bouchouireb, H., OReilly, C.J., Goransson, P., Schoggl, J.P., Baumgartner, R.J. and Potting, J. (2019), “The inclusion of vehicle shape and aerodynamic drag estimations within the life cycle energy optimisation methodology”, Procedia CIRP, Vol. 84, pp. 902907, http://doi.org/10.1016/j.procir.2019.04.270.CrossRefGoogle Scholar
European Commission (2021), EU reference scenario 2020, Publications Office of the European Union, Luxembourg.Google Scholar
Fu, J. and Jenelius, E. (2018), “Transport efficiency of off-peak urban goods deliveries: A Stockholm pilot study”, Case Studies on Transport Policy, Vol. 6 No. 1, pp. 156166, http://doi.org/10.1016/jxstp.2018.01.001.CrossRefGoogle Scholar
Ghandriz, T., Jacobson, B., Islam, M., Hellgren, J. and Laine, L. (2021), “Transportation-Mission-Based Optimization of Heterogeneous Heavy-Vehicle Fleet Including Electrified Propulsion”, Energies, Vol. 14 No. 11, p. 3221, http://doi.org/10.3390/en14113221.CrossRefGoogle Scholar
Hoff, A., Andersson, H., Christiansen, M., Hasle, G. and Lokketangen, A. (2010), “Industrial aspects and literature survey: Fleet composition and routing”, Computers & Operations Research, Vol. 37 No. 12, pp. 20412061, http://doi.org/10.1016/jj.cor.2010.03.015.CrossRefGoogle Scholar
International Energy Agency (2017), The Future of Trucks: Implications for energy and the environment, OECD, http://doi.org/10.1787/9789264279452-en.Google Scholar
Kijewska, K., Iwan, S. and Malecki, K. (2019), “Applying Multi-Criteria Analysis of Electrically Powered Vehicles Implementation in Urban Freight Transport”, Procedia Computer Science, Vol. 159, pp. 15581567, http://doi.org/10.1016/jj.procs.2019.09.326.CrossRefGoogle Scholar
Larminie, J. and Lowry, J. (2012), Electric vehicle technology explained, Wiley, a John Wiley & Sons, Ltd., Publication, Chichester, West Sussex, United Kingdom, second edition edition.CrossRefGoogle Scholar
Lindahl, M. and Sundin, E. (2013), ”Product Design Considerations for Improved Integrated Product/Service Offerings”, in: Kauffman, J. and Lee, K.M. (Editors), Handbook of Sustainable Engineering, Springer Netherlands, Dordrecht, pp. 669689, http://doi.org/10.1007/978-1-4020-8939-8_62.CrossRefGoogle Scholar
Liu, S., Huang, W. and Ma, H. (2009), “An effective genetic algorithm for the fleet size and mix vehicle rout¬ing problems”, Transportation Research Part E: Logistics and Transportation Review, Vol. 45 No. 3, pp. 434445, http://doi.org/10.1016/jj.tre.2008.10.003.CrossRefGoogle Scholar
Maheshwari, P., Khaddar, R., Kachroo, P. and Paz, A. (2016), “Dynamic Modeling of Performance Indices for Planning of Sustainable Transportation Systems”, Networks and Spatial Economics, Vol. 16 No. 1, pp. 371393, http://doi.org/10.1007/s11067-014-9238-6.CrossRefGoogle Scholar
Martins, J.R.R.A. and Ning, S.A. (2021), Engineering design optimization, Cambridge University Press, Cambridge; New York.CrossRefGoogle Scholar
O'Reilly, C.J., Goransson, P., Funazaki, A., Suzuki, T., Edlund, S., Gunnarsson, C., Lundow, J.O., Cerin, P., Cameron, C.J., Wennhage, P. and Potting, J. (2016), “Life cycle energy optimisation: A proposed methodol¬ogy for integrating environmental considerations early in the vehicle engineering design process”, Journal of Cleaner Production, Vol. 135, pp. 750759, http://doi.org/10.1016/jjclepro.2016.06.163.CrossRefGoogle Scholar
Pessoa, A., Uchoa, E. and Poggi de Aragao, M. (2009), “A robust branch-cut-and-price algorithm for the hetero¬geneous fleet vehicle routing problem”, Networks, Vol. 54 No. 4, pp. 167177, http://doi.org/10.1002/net.20330.CrossRefGoogle Scholar
Rodrigue, J.P. (2020), The geography of transport systems, Routledge, Abingdon, Oxon; New York, NY, fifth edition edition.CrossRefGoogle Scholar
Vanek, F.M., Angenent, L.T., Banks, J.H., Daziano, R.A. and Turnquist, M.A. (2014), Sustainable transportation systems engineering, Mcgraw-Hill Education, New York.Google Scholar
Wolff, S., Seidenfus, M., Bronner, M. and Lienkamp, M. (2021), “Multi-disciplinary design optimization of life cycle eco-efficiency for heavy-duty vehicles using a genetic algorithm”, Journal of Cleaner Production, Vol. 318, p. 128505, http://doi.org/10.1016/jjclepro.2021.128505.CrossRefGoogle Scholar