Resumé
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.
| Originalsprog | Engelsk |
|---|---|
| Titel | Computational Logistics : Proceedings of the 8th International Conference, ICCL 2017, Southampton, UK, October 18-20, 2017 |
| Redaktører | Tolga Bektas, Stefano Coniglio, Antonio Martinez-Sykora, Stefan Voss |
| Antal sider | 6 |
| Forlag | Springer Publishing Company |
| Publikationsdato | 2017 |
| Sider | 300-306 |
| Kapitel | Maritime Logistics |
| ISBN (Trykt) | 978-3-319-68495-6 |
| ISBN (Elektronisk) | 978-3-319-68496-3 |
| DOI | |
| Status | Udgivet - 2017 |
| Begivenhed | 8th International Conference of Computational Logistics - Southampton, Storbritannien Varighed: 18. okt. 2017 → 20. okt. 2017 https://iccl2017.wixsite.com/main |
Konference
| Konference | 8th International Conference of Computational Logistics |
|---|---|
| Land | Storbritannien |
| By | Southampton |
| Periode | 18/10/2017 → 20/10/2017 |
| Internetadresse |
| Navn | Lecture Notes in Computer Science |
|---|---|
| Vol/bind | 10572 |
| ISSN | 0302-9743 |
Fingeraftryk
Citer dette
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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-proceeding › Konferencebidrag i proceedings › Forskning › peer review
TY - GEN
T1 - Maritime Load Dependent Lead Times - An Analysis
AU - Pahl, Julia
AU - Voss, Stefan
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Maritime Supply Chain
KW - Lead Times
KW - Collaborative Planning
U2 - 10.1007/978-3-319-68496-3_20
DO - 10.1007/978-3-319-68496-3_20
M3 - Article in proceedings
SN - 978-3-319-68495-6
SP - 300
EP - 306
BT - Computational Logistics
A2 - Bektas, Tolga
A2 - Coniglio, Stefano
A2 - Martinez-Sykora, Antonio
A2 - Voss, Stefan
PB - Springer Publishing Company
ER -