Multimodal freight transportation planning: A literature review

SteadieSeifi, Maryam; Dellaert, Nico; Nuijten, Wpm Wim; Woensel, van T Tom; Raoufi, R Rasa

doi:10.1016/j.ejor.2013.06.055

Cited by 518 publications

(314 citation statements)

References 93 publications

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“…Consolidation of flows between hubs in barge of train services is cost efficient as it benefits from the economies of scale (Ishfaq and Sox 2012). For a complete overview on intermodal planning optimisation, see SteadieSeifi et al (2014). The approach towards offering hinterland transportation services is changing.…”

Section: Literature Review 21 Intermodal Networkmentioning

confidence: 99%

“…Currently, many studies refer to the concept of synchromodal transportation (e.g. Top Sector Logistics 2011; SteadieSeifi et al 2014;Behdani et al 2016), aiming for real-time optimal transportation planning in an integrated hinterland transportation system. Synchromodality can only really provide an advantage if the intermodal planning problem is considered in conjunction with the product portfolio offered to customers (Van Riessen et al 2015b).…”

Section: Literature Review 21 Intermodal Networkmentioning

confidence: 99%

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The Cargo Fare Class Mix problem for an intermodal corridor: revenue management in synchromodal container transportation

2017

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The intermodal hinterland transportation of maritime containers is under pressure from port authorities and shippers to achieve a more integrated, efficient network operation. Current optimisation methods in literature yield limited results in practice, though, as the transportation product structure limits the flexibility to optimise network logistics. Synchromodality aims to overcome this by a new product structure based on differentiation in price and lead time. Each product is considered as a fare class with a related service level, allowing to target different customer segments and to use revenue management for maximising revenue. However, higher priced fare classes come with tighter planning restrictions and must be carefully balanced with lower priced fare classes to match available capacity and optimise network utilisation. Based on the developments of intermodal networks in North West European, such as the network of European Gateway Services, the Cargo Fare Class Mix problem is proposed. Its purpose is to set limits for each fare class at a tactical level, such that the expected revenue is maximised, considering the available capacity at the operational level. Setting limits at the tactical level is important, as it reflects the necessity of long-term agreements between the transportation provider and its customers. A solution method for an intermodal corridor is proposed, considering a single intermodal connection towards a region with multiple destinations. The main purpose of the article is to show that using a limit on each fare class increases revenue and reliability, thereby outperforming existing fare class mix policies, such as Littlewood.

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Section: Literature Review 21 Intermodal Networkmentioning

confidence: 99%

Section: Literature Review 21 Intermodal Networkmentioning

confidence: 99%

The Cargo Fare Class Mix problem for an intermodal corridor: revenue management in synchromodal container transportation

2017

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“…Last but not least, since 1990, the number of papers on multimodal transportation follows a growing trend (Bontekoning et al 2004). Some researchers have reviewed the related literatures (SteadieSeifi et al 2014). To sum up, multimodal transportation is a relatively new field of research, with its increasing importance during recent years.…”

Section: Introductionmentioning

confidence: 99%

A model for distribution centers location-routing problem on a multimodal transportation network with a meta-heuristic solving approach

2017

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Nowadays, organizations have to compete with different competitors in regional, national and international levels, so they have to improve their competition capabilities to survive against competitors. Undertaking activities on a global scale requires a proper distribution system which could take advantages of different transportation modes. Accordingly, the present paper addresses a location-routing problem on multimodal transportation network. The introduced problem follows four objectives simultaneously which form main contribution of the paper; determining multimodal routes between supplier and distribution centers, locating mode changing facilities, locating distribution centers, and determining product delivery tours from the distribution centers to retailers. An integer linear programming is presented for the problem, and a genetic algorithm with a new chromosome structure proposed to solve the problem. Proposed chromosome structure consists of two different parts for multimodal transportation and location-routing parts of the model. Based on published data in the literature, two numerical cases with different sizes generated and solved. Also, different cost scenarios designed to better analyze model and algorithm performance. Results show that algorithm can effectively solve large-size problems within a reasonable time which GAMS software failed to reach an optimal solution even within much longer times.

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“…Several review studies have already identified the importance of operations research (OR) for intermodal transportation (see e.g., Macharis and Bontekoning 2004;SteadieSeifi et al 2014). One of the identified areas of need for OR solutions is the reliability and accuracy of the transportation networks under uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Hybrid simulation and optimization approach for green intermodal transportation problem with travel time uncertainty

et al. 2016

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The increasing volumes of road transportation contribute to congestion on road, which leads to delays and other negative impacts on the reliability of transportation. Moreover, transportation is one of the main contributors to the growth of carbon dioxide equivalent emissions, where the impact of road transportation is significant. Therefore, governmental organizations and private commercial companies are looking for greener transportation solutions to eliminate the negative externalities of road transportation. In this paper, we present a novel solution framework to support the operational-level decisions for intermodal transportation networks using a combination of an optimization model and simulation. The simulation model includes stochastic elements in form of uncertain travel times, whereas the optimization model represents a deterministic and linear multi-commodity service network design formulation. The intermodal transportation plan can be optimized according to different objectives, including costs, time and CO 2 e emissions. The proposed approach is successfully implemented to real-life scenarios where differences in transportation plans for alternative objectives are presented. DOI 10.1007/s10696-016-9267-1 show that the approach is capable of delivering reliable solutions and identifying possible disruptions and alternatives for adapting the unreliable transportation plans.

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Multimodal freight transportation planning: A literature review

Cited by 518 publications

References 93 publications

The Cargo Fare Class Mix problem for an intermodal corridor: revenue management in synchromodal container transportation

The Cargo Fare Class Mix problem for an intermodal corridor: revenue management in synchromodal container transportation

A model for distribution centers location-routing problem on a multimodal transportation network with a meta-heuristic solving approach

Hybrid simulation and optimization approach for green intermodal transportation problem with travel time uncertainty

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