Maritime Load Dependent Lead Times - An Analysis

Julia Pahl*, Stefan Voss

*Kontaktforfatter for dette arbejde

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

Traditionally, the maritime sector follows a very conservative approach towards sharing information and adopting information technology (IT) to stream-line logistic activities. Late arrivals of ships create problems especially with the trend to build large ships leading to peak loads of process steps and increased container lead times. Proposed solutions to fight congestion range from extend-ing port capacities to process optimization of parts of the maritime supply chain. The potential that lies in information sharing and integrated planning using IT has
received some attention, but mainly on the operational level concerning timely information sharing. Collaborative planning approaches for the maritime supply chain are scarce. The production industry already implemented planning and in-formation concepts. Problems related to the maritime supply chain have great similarities with those encountered in production. Inspired by supply chain planning systems, we analyze the current state of (collaborative) planning in the maritime transport chain with focus on containers. Regarding the problem of congestion, we particularly emphasize on load dependent lead times (LDLT) which are
well studied in production.
OriginalsprogEngelsk
TitelComputational Logistics : Proceedings of the 8th International Conference, ICCL 2017, Southampton, UK, October 18-20, 2017
RedaktørerTolga Bektas, Stefano Coniglio, Antonio Martinez-Sykora, Stefan Voss
Antal sider6
ForlagSpringer Publishing Company
Publikationsdato2017
Sider300-306
KapitelMaritime Logistics
ISBN (Trykt)978-3-319-68495-6
ISBN (Elektronisk)978-3-319-68496-3
DOI
StatusUdgivet - 2017
Begivenhed8th International Conference of Computational Logistics - Southampton, Storbritannien
Varighed: 18. okt. 201720. okt. 2017
https://iccl2017.wixsite.com/main

Konference

Konference8th International Conference of Computational Logistics
LandStorbritannien
BySouthampton
Periode18/10/201720/10/2017
Internetadresse
NavnLecture Notes in Computer Science
Vol/bind10572
ISSN0302-9743

Fingeraftryk

Supply chains
Planning
Information technology
Containers
Ships
Logistics
Industry

Citer dette

Pahl, J., & Voss, S. (2017). Maritime Load Dependent Lead Times - An Analysis. I T. Bektas, S. Coniglio, A. Martinez-Sykora, & S. Voss (red.), Computational Logistics: Proceedings of the 8th International Conference, ICCL 2017, Southampton, UK, October 18-20, 2017 (s. 300-306). Springer Publishing Company. Lecture Notes in Computer Science, Bind. 10572 https://doi.org/10.1007/978-3-319-68496-3_20
Pahl, Julia ; Voss, Stefan. / Maritime Load Dependent Lead Times - An Analysis. Computational Logistics: Proceedings of the 8th International Conference, ICCL 2017, Southampton, UK, October 18-20, 2017. red. / Tolga Bektas ; Stefano Coniglio ; Antonio Martinez-Sykora ; Stefan Voss. Springer Publishing Company, 2017. s. 300-306 (Lecture Notes in Computer Science, Bind 10572).
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abstract = "Traditionally, the maritime sector follows a very conservative approach towards sharing information and adopting information technology (IT) to stream-line logistic activities. Late arrivals of ships create problems especially with the trend to build large ships leading to peak loads of process steps and increased container lead times. Proposed solutions to fight congestion range from extend-ing port capacities to process optimization of parts of the maritime supply chain. The potential that lies in information sharing and integrated planning using IT hasreceived some attention, but mainly on the operational level concerning timely information sharing. Collaborative planning approaches for the maritime supply chain are scarce. The production industry already implemented planning and in-formation concepts. Problems related to the maritime supply chain have great similarities with those encountered in production. Inspired by supply chain planning systems, we analyze the current state of (collaborative) planning in the maritime transport chain with focus on containers. Regarding the problem of congestion, we particularly emphasize on load dependent lead times (LDLT) which arewell studied in production.",
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Pahl, J & Voss, S 2017, Maritime Load Dependent Lead Times - An Analysis. i T Bektas, S Coniglio, A Martinez-Sykora & S Voss (red), Computational Logistics: Proceedings of the 8th International Conference, ICCL 2017, Southampton, UK, October 18-20, 2017. Springer Publishing Company, Lecture Notes in Computer Science, bind 10572, s. 300-306, 8th International Conference of Computational Logistics, Southampton, Storbritannien, 18/10/2017. https://doi.org/10.1007/978-3-319-68496-3_20

Maritime Load Dependent Lead Times - An Analysis. / Pahl, Julia; Voss, Stefan.

Computational Logistics: Proceedings of the 8th International Conference, ICCL 2017, Southampton, UK, October 18-20, 2017. red. / Tolga Bektas; Stefano Coniglio; Antonio Martinez-Sykora; Stefan Voss. Springer Publishing Company, 2017. s. 300-306 (Lecture Notes in Computer Science, Bind 10572).

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

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Pahl J, Voss S. Maritime Load Dependent Lead Times - An Analysis. I Bektas T, Coniglio S, Martinez-Sykora A, Voss S, red., Computational Logistics: Proceedings of the 8th International Conference, ICCL 2017, Southampton, UK, October 18-20, 2017. Springer Publishing Company. 2017. s. 300-306. (Lecture Notes in Computer Science, Bind 10572). https://doi.org/10.1007/978-3-319-68496-3_20