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  4. Optimization of container transportation in port hinterland with trucks : approaches to cooperation
 
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Optimization of container transportation in port hinterland with trucks : approaches to cooperation

Publikationstyp
Conference Presentation
Date Issued
2021-09-22
Sprache
English
Author(s)
Rückert, Nicolas 
Fischer, Kathrin  orcid-logo
Reinecke, Pauline  
Wrona, Thomas  
Institut
Quantitative Unternehmensforschung und Wirtschaftsinformatik W-4  
Strategisches und Internationales Management W-10  
TORE-URI
http://hdl.handle.net/11420/11566
Citation
Hamburg International Conference of Logistics (HICL) 2021
Contribution to Conference
Hamburg International Conference of Logistics (HICL) 2021  
PURPOSE
The presentation gives an overview of the possibilities for cost reduction by horizontal cooperation in hinterland container logistics with trucks, specifically through sharing customer orders. Furthermore, first results of a new optimization approach taking into account cooperation will be presented.

METHODOLOGY
A new optimization approach is presented based on results of a comprehensive literature review and a qualitative pre-study study. The approach considers the sharing of customer orders to be governed by a predefined set of trusted collaboration partners with access to the customer orders. This mechanism was identified as a prerequisite for a stable, fair and sustainable cooperation based on the results of the literature review and empirical pre-study.

FINDINGS
It can be concluded that costs in the overall system can be significantly reduced by cooperation. The analysis shows that different cooperation approaches have a different impact on the efficiency of the system, e.g. in terms of cost reduction. Further research needs are identified.

ORIGINALITY
The results provide the current state of the literature and show first results of the optimization when taking into account cooperation. The influence of different compensation mechanisms and of further approaches to establish sustainable cooperation is shown.
DDC Class
330: Wirtschaft
380: Handel, Kommunikation, Verkehr
Funding(s)
I³-Lab - Business Analytics – Optimierungspotenziale und strategische Risiken für maritime logistische Systeme  
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