Hybrid heuristic for multi-carrier transportation plans

This paper describes a hybrid heuristic approach to construct transportation plans for a singlecustomer multi-carrier scenario that arises at 3T Logistics Ltd, a UK company that provides outsourced transportation planning and management services. The problem consists on planning the delivery, using...

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Main Authors: Landa-Silva, Dario, Wang, Yijun, Donovan, Paul, Kendall, Graham
Format: Conference or Workshop Item
Published: 2011
Subjects:
Online Access:https://eprints.nottingham.ac.uk/32604/
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author Landa-Silva, Dario
Wang, Yijun
Donovan, Paul
Kendall, Graham
author_facet Landa-Silva, Dario
Wang, Yijun
Donovan, Paul
Kendall, Graham
author_sort Landa-Silva, Dario
building Nottingham Research Data Repository
collection Online Access
description This paper describes a hybrid heuristic approach to construct transportation plans for a singlecustomer multi-carrier scenario that arises at 3T Logistics Ltd, a UK company that provides outsourced transportation planning and management services. The problem consists on planning the delivery, using a set of carrier companies, of a set of shipments from a warehouse to different consignees across the UK. The problem tackled resembles a vehicle routing problem with time windows but there are several differences in our scenario. The hybrid heuristic algorithm described here combines a clustering algorithm, constructive and local search heuristics, and exact assignment based on integer programming. This approach is being currently evaluated at the company and results so far indicate the suitability of the algorithm to produce practical transportation plans at reduced cost compared to current practice.
first_indexed 2025-11-14T19:16:20Z
format Conference or Workshop Item
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institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:16:20Z
publishDate 2011
recordtype eprints
repository_type Digital Repository
spelling nottingham-326042020-05-04T20:23:14Z https://eprints.nottingham.ac.uk/32604/ Hybrid heuristic for multi-carrier transportation plans Landa-Silva, Dario Wang, Yijun Donovan, Paul Kendall, Graham This paper describes a hybrid heuristic approach to construct transportation plans for a singlecustomer multi-carrier scenario that arises at 3T Logistics Ltd, a UK company that provides outsourced transportation planning and management services. The problem consists on planning the delivery, using a set of carrier companies, of a set of shipments from a warehouse to different consignees across the UK. The problem tackled resembles a vehicle routing problem with time windows but there are several differences in our scenario. The hybrid heuristic algorithm described here combines a clustering algorithm, constructive and local search heuristics, and exact assignment based on integer programming. This approach is being currently evaluated at the company and results so far indicate the suitability of the algorithm to produce practical transportation plans at reduced cost compared to current practice. 2011-07 Conference or Workshop Item PeerReviewed Landa-Silva, Dario, Wang, Yijun, Donovan, Paul and Kendall, Graham (2011) Hybrid heuristic for multi-carrier transportation plans. In: 9th Metaheuristics International Conference (MIC 2011), July 2011, Udine, Italy. Transport planning heuristics metaheuristics hybrid metaheuristics vehicle routing
spellingShingle Transport planning
heuristics metaheuristics
hybrid metaheuristics
vehicle routing
Landa-Silva, Dario
Wang, Yijun
Donovan, Paul
Kendall, Graham
Hybrid heuristic for multi-carrier transportation plans
title Hybrid heuristic for multi-carrier transportation plans
title_full Hybrid heuristic for multi-carrier transportation plans
title_fullStr Hybrid heuristic for multi-carrier transportation plans
title_full_unstemmed Hybrid heuristic for multi-carrier transportation plans
title_short Hybrid heuristic for multi-carrier transportation plans
title_sort hybrid heuristic for multi-carrier transportation plans
topic Transport planning
heuristics metaheuristics
hybrid metaheuristics
vehicle routing
url https://eprints.nottingham.ac.uk/32604/