Diglio, A., Genovese, A. orcid.org/0000-0002-5652-4634 and Piccolo, C. (2017) An optimization model for the outbound truck scheduling problem at cross-docking platforms. In: Sforza, A. and Sterle, C., (eds.) Optimization and Decision Science: Methodologies and Applications. ODS: International Conference on Optimization and Decision Science, 04-07 Sep 2017, Sorrento, Italy. Springer Proceedings in Mathematics & Statistics, 217 . Springer , pp. 601-610. ISBN 9783319673073
Abstract
© 2017, Springer International Publishing AG. A cross-dock is a facility where arriving materials are sorted, grouped and delivered to destinations, with very limited storage times, with the overall objective of optimizing the total management costs. The operational efficiency of a cross-docking system strongly depends on how the logistic activities are organized. For this reason, optimization models and methods can be very useful to improve the system performances. In this paper, we propose a mathematical model to describe the so-called truck scheduling problem at a cross-docking platform. The model considers most of the actual constraints occurring in real problems; therefore, it can be viewed as an interesting basis to define a decision support system for this kind of problems. Some preliminary results show that the model can be efficiently solved in limited computational times.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2017 Springer International Publishing AG. |
Keywords: | Supply chain; cross-docking; truck scheduling |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - HORIZON 2020 734909 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 18 Jan 2018 14:35 |
Last Modified: | 18 Jan 2018 14:35 |
Published Version: | https://doi.org/10.1007/978-3-319-67308-0_60 |
Status: | Published |
Publisher: | Springer |
Series Name: | Springer Proceedings in Mathematics & Statistics |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-319-67308-0_60 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:126405 |