Simulation and optimisation of intermodal barge transport networks

Caris, An

doi:10.1007/s10288-010-0142-8

Cited by 5 publications

(4 citation statements)

References 108 publications

(145 reference statements)

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“…Revenues from transporting empty containers are not considered either since repositioning movements happen at the responsibility and expense of the shipping line itself. Constraints (4) to (18) and (20) to (22) are identical to those in the model in Section 3.1. Constraint (30) ensure that all transport demand is satisfied, either by the chartered vessel or by truck.…”

Section: Model Formulationmentioning

confidence: 98%

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Optimal shipping routes and vessel size for intermodal barge transport with empty container repositioning

Braekers

Caris

Janssens

2013

Computers in Industry

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Despite the growing role of barge transportation in the hinterland access of major seaports in Northwestern Europe, service network design for intermodal barge transportation has received little research attention. In this paper, a decision support model for service network design in intermodal barge transportation is presented. The model determines optimal shipping routes for roundtrip services between a major seaport and several hinterland ports located along a single waterway. Vessel capacity and service frequency decisions may be analyzed by the model. A case study on the hinterland network of the port of Antwerp in Belgium is discussed. The decision support model is applied from the perspective of barge operators as well as from the perspective of shipping lines that offer door-to-door transport services. In the latter case, empty container repositioning decisions are taken into account. Numerical experiments are presented to indicate how the model may be used in practice.

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Section: Model Formulationmentioning

confidence: 98%

“…Constraint (9) ensures that vessel capacity is respected. Constraints (10) to (13) (14) and the start and end port of a roundtrip should be the same (15)(16)(17)(18). Finally, constraints (19) to (22) define the domain of the decision variables.…”

Section: Model Formulationmentioning

confidence: 99%

Optimal shipping routes and vessel size for intermodal barge transport with empty container repositioning

Braekers

Caris

Janssens

2013

Computers in Industry

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“…The complexity of container terminals makes it impossible for all interactions to be described by a mathematical model. Because of this increased complexity and the required level of detail, DES is the appropriate tool for analysis [6]. Most papers on the subject of optimization of container terminals are papers related to port container terminals.…”

Section: Des and Container Terminalsmentioning

confidence: 99%

Improving Logistics Processes in Inland Container Terminal

Mirčetić

Maslarić

Nikoličić

2018

JMTS

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This paper focuses on the application of two approaches: Business Process Redesign (BPR) and Discrete Event Simulation (DES) in an attempt to enhance the basic logistics processes in inland container terminals. The goal of the paper is to identify the weaknesses and potential problems in the execution of current logistics processes, as well as to redesign such identified weaknesses and problems. The main contribution of the paper is to show how DES and BPR can be used in restructuring of container logistics processes in inland container terminals. Its original feature is a novelty, a holistic approach in rationalization of container logistics processes in inland intermodal terminals, creating models of the current (AS-IS) and improved (TO-BE) states. Models show that DES and BPR represent an easily accessible and effective tool in the analysis of terminal processes in container terminals. Therefore, it can be efficiently used for monitoring the current situation, identification of weak spots in a particular system and for creating any necessary preconditions for improvement of business processes.

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“…Cost data are mainly based on a recent report commissioned by the Dutch government agency 'Rijkswaterstaat' of the Ministry of Infrastructure and the Environment NEA (2009). Other sources include Vacca et al (2007), Promotie Binnenvaart Vlaanderen (2008), Konings (2009), Caris (2011 and personal communication.…”

Section: Data Overview For Service Network Design Modelmentioning

confidence: 99%

Optimization of empty container movements in intermodal transport

Braekers¹

2012

4OR-Q J Oper Res

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Simulation and optimisation of intermodal barge transport networks

Cited by 5 publications

References 108 publications

Optimal shipping routes and vessel size for intermodal barge transport with empty container repositioning

Optimal shipping routes and vessel size for intermodal barge transport with empty container repositioning

Improving Logistics Processes in Inland Container Terminal

Optimization of empty container movements in intermodal transport

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