Workshops on Maritime Load-Dependent Lead Times
Welcome to our workshop on maritime load-dependent lead times (M-LDLT). This workshop pertains to a series of overall three workshops and intends to bring together researchers and practitioners to discuss current challenges within the maritime supply chain and apply together for external funding.
Odense (29.-30.10.2018)
LOGIN TO THE REGISTRATION TOOL (free of charge)
REGISTRATION DEADLINE: 22.10.2018
Location: Syddansk Universitet (SDU), Campusvej 55, DK-5230 Odense M
Scope:
Port congestion dissolution - analyzing and evaluating main congestion factors
Maritime IT-systems for collaborative planning and execution
Workshop Program:
29.10.2018:
| 9:00-9:30 | Coffee + Rundstykker |
| 9:30-10:00 | warm-up |
| 10:00-12:00 |
1st session: Maritime Load-Dependent Lead Times – Research Questions and Opportunities for Collaboration (Julia Pahl) |
| 12:00-1:00 | lunch |
| 1:00-2:30 |
2nd session: Fully-automated Shipping and Port Traffic (Kevin Tierney) |
| 2:30-3:00 | coffee break + cake |
| 3:00-5:00 |
3rd session: IT Systems in Maritime Logistics |
| 6:30 |
|
30.10.2018:
| 9:00-9:30 | Coffee + Rundstykker |
| 9:30-10:00 | warm-up |
| 10:00-12:00 |
1st session: A demonstration of Cargotec’s recent auto-stowage tools for containerships and general cargo vessels (Rune Møller Jensen) |
| 12:00-1:00 | lunch |
The project's aim is analyzing congestion phenomena due to bottlenecks or unforeseen events and developing IT-systems that focus on collaborative planning for the simplified - ideally - automized data and information exchange.
The overall project contains the following workpackages:
- Analyzing the maritime supply chain with regards to hinterland transport via train, truck or barge related to ports/terminals abstracting from the logistics between customer and shipping company
- Analyzing lead times of main processes and their visualization, especially the data gathering and/or exchange with respect to forecasting and planning of these processes
- Identifying and selecting main processes and areas of load-dependent lead times for developing models that also take into consideration environmental factors, e.g., CO2-emission reductions (slow steaming, optimizing liner shipping routing, shortest path calculation on terminals, berth allocation, pre-marshalling, resource allocation).
- Developing models for decision-support systems for the maritime stakeholders including liner shipping companies, trucking and train companies, terminals, and ports including customs and administration
Background information on M-LDLT:
The “Landesforschungsförderung Hamburg” is funding the development of international research cooperation in the Baltic Sea region and promoting research in maritime logistics with the project “Maritime Load-Dependent Lead Times: Lead Time and Eco-Efficient Lean Management in the Maritime Supply Chain (M-LDLT).”
Together with two German Partners, the Center for Engineering Operations Management of the University of Southern Denmark with Associate Professor Julia Pahl, and the University of Bielefeld with Professor Kevin Tierney, the University of Hamburg with the team of Prof. Dr. Stefan Voß will investigate the phenomenon of maritime load-dependent lead times (M-LDLT). These are triggered by delays and insufficient information management between maritime logistic chain partners. A thorough analysis of the causes and system-wide improvements from an operations and information management perspective will be conducted. Another focus is on energy efficiency and the minimization of waste in terms of resources such as energy, time, and other critical resources.
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