Truck scheduling problems in the cross docking network

Copyright © 2019 Inderscience Enterprises Ltd. Cross docking is a logistic management strategy for reducing storage level, inventory management cost, and customer delivery lead-time. In the large distribution network in which products are transferred through one or more cross docks, the decision of...

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Main Authors: Warisa Wisittipanich, Takashi Irohara, Piya Hengmeechai
格式: 雜誌
出版: 2019
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/66613
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spelling th-cmuir.6653943832-666132019-09-16T12:50:59Z Truck scheduling problems in the cross docking network Warisa Wisittipanich Takashi Irohara Piya Hengmeechai Business, Management and Accounting Decision Sciences Copyright © 2019 Inderscience Enterprises Ltd. Cross docking is a logistic management strategy for reducing storage level, inventory management cost, and customer delivery lead-time. In the large distribution network in which products are transferred through one or more cross docks, the decision of whether to synchronise inbound and outbound trucks for the whole network is crucial since it significantly impacts on supply chain performance. This study presents the novel mathematical model of truck scheduling problem in the cross docking network consisting of several cross docks and addresses the importance of synchronising the truck schedule in a network as a whole. The model is formulated as mixed integer programming (MIP) with an objective to find the optimal truck schedule and product transshipment to minimise the makespan. The results demonstrate that simultaneously optimising truck schedule throughout the network improves the solution quality compared to those obtained from models, that optimise the truck schedule in each cross dock sequentially. 2019-09-16T12:48:49Z 2019-09-16T12:48:49Z 2019-01-01 Journal 17427975 17427967 2-s2.0-85069945804 10.1504/IJLSM.2019.101164 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85069945804&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/66613
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Business, Management and Accounting
Decision Sciences
spellingShingle Business, Management and Accounting
Decision Sciences
Warisa Wisittipanich
Takashi Irohara
Piya Hengmeechai
Truck scheduling problems in the cross docking network
description Copyright © 2019 Inderscience Enterprises Ltd. Cross docking is a logistic management strategy for reducing storage level, inventory management cost, and customer delivery lead-time. In the large distribution network in which products are transferred through one or more cross docks, the decision of whether to synchronise inbound and outbound trucks for the whole network is crucial since it significantly impacts on supply chain performance. This study presents the novel mathematical model of truck scheduling problem in the cross docking network consisting of several cross docks and addresses the importance of synchronising the truck schedule in a network as a whole. The model is formulated as mixed integer programming (MIP) with an objective to find the optimal truck schedule and product transshipment to minimise the makespan. The results demonstrate that simultaneously optimising truck schedule throughout the network improves the solution quality compared to those obtained from models, that optimise the truck schedule in each cross dock sequentially.
format Journal
author Warisa Wisittipanich
Takashi Irohara
Piya Hengmeechai
author_facet Warisa Wisittipanich
Takashi Irohara
Piya Hengmeechai
author_sort Warisa Wisittipanich
title Truck scheduling problems in the cross docking network
title_short Truck scheduling problems in the cross docking network
title_full Truck scheduling problems in the cross docking network
title_fullStr Truck scheduling problems in the cross docking network
title_full_unstemmed Truck scheduling problems in the cross docking network
title_sort truck scheduling problems in the cross docking network
publishDate 2019
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85069945804&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/66613
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