The effect of multi-scenario policies on empty container repositioning

Francesco, Massimo Di; Crainic, Teodor Gabriel; Zuddas, Paola

doi:10.1016/j.tre.2009.03.001

Cited by 87 publications

(51 citation statements)

References 11 publications

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“…The number of empty containers available depends on uncertain parameters concerning demand for empty containers at ports for global repositioning, returning time of containers from consignees and results of container inspection on damages. (Olivo et al, 2005;Di Francesco et al, 2009) The demand for empty containers may be an uncertain parameter as well. Unexpected transportation requests may be made at the last moment by important customers.…”

Section: Modeling Issuesmentioning

confidence: 99%

“…To solve the models, a simulation based approximate policy iteration algorithm is proposed. Di Francesco et al (2009) note that, in order to use stochastic models, a good knowledge of the random variable distributions is needed to avoid low quality solutions. To avoid using a stochastic model, the authors propose to use a set of scenarios representing different levels of the uncertain parameters.…”

Section: Global Container Allocation Modelsmentioning

confidence: 99%

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Optimization of empty container movements in intermodal transport

Braekers¹

2012

4OR-Q J Oper Res

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Section: Modeling Issuesmentioning

confidence: 99%

Section: Global Container Allocation Modelsmentioning

confidence: 99%

Optimization of empty container movements in intermodal transport

Braekers¹

2012

4OR-Q J Oper Res

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“…Der Bedarf an Leercontainern durch potentielle Exporteure ist wiederum durch Einflussfaktoren wie wirtschaftliche oder auch politische Schwankungen nicht als sicher zu betrachten. Dennoch ist der Bedarf bei entsprechender Datenverwaltung wenige Tage vorher mit geringer Abweichung prognostizierbar, da der Großteil der Aufträge früher eingeht und kurzfristige Aufträge in einem gewissen Maße vorhersagbar sind [DCZ08].…”

Section: Modellierungskonzepteunclassified

Systematisierung, Bewertung und Modellierung der Unsicherheiten in der Leercontainerlogistik

Vojdani¹,

Rösner²

2012

Proc

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ieser Beitrag beschreibt Unsicherheiten in den Prozessen der Leercontainerlogistik und beinhaltet einen Systematisierungsansatz, der die Akteure bei der operativen Planung unterstützen soll. Weiterhin werden ausgewählte Modellierungskonzepte zur Berücksichti-gung von Unsicherheiten vorgestellt und hinsichtlich ihrer Eignung zum Einsatz in mathematischen Optimierungsmodellen für das Leercontainermanagement analysiert. An einem konkreten Fallbeispiel wird der mögliche Einbezug der sogenannten Grey-Zahlen verdeutlicht.[Schlüsselwörter: Leercontainerlogistik, Unsicherheiten, Fuzzy, Grey-Zahlen, Operations Research] his paper analyzes uncertainties in empty container logistics and includes a systematization approach that should support actors in operative planning. Furthermore, selected methods to model uncertainties are presented and analyzed in terms of their appropriateness for the empty container management using mathematical optimization models. A case study illustrates the application of grey numbers.

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“…Using the available data, they tested the effectiveness of computational time and solution quality. Di Francesco et al (2009) developed a multi-scenario, multi-commodity, time-extended optimization model to deal with the empty container repositioning problem. Some uncertain model parameters that cannot be estimated through historical data are treated as the sets of a limited number of values according to the shipping company opinions.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing Container Shipping Network Under Changing Demand and Freight Rates

Chao

Zeng

2010

Transport

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Abstract. is paper focuses on the optimization of container shipping network and its operations under changing cargo demand and freight rates. e problem is formulated as a mixed integer non-linear programming problem (MINP) with an objective of maximizing the average unit ship-slot pro t at three stages using analytical methodology.e issues such as empty container repositioning, ship-slot allocating, ship sizing, and container con guration are simultaneously considered based on a series of the matrices of demand for a year. To solve the model, a bi-level genetic algorithm based method is proposed. Finally, numerical experiments are provided to illustrate the validity of the proposed model and algorithms. e obtained results show that the suggested model can provide a more realistic solution to the issues on the basis of changing demand and freight rates and arrange a more e ective approach to the optimization of container shipping network structures and operations than does the model based on the average demand.

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The effect of multi-scenario policies on empty container repositioning

Cited by 87 publications

References 11 publications

Optimization of empty container movements in intermodal transport

Optimization of empty container movements in intermodal transport

Systematisierung, Bewertung und Modellierung der Unsicherheiten in der Leercontainerlogistik

Designing Container Shipping Network Under Changing Demand and Freight Rates

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