Containership Routing and Scheduling in Liner Shipping: Overview and Future Research Directions

Meng, Qiang; Wang, Shuaian; Andersson, Henrik; Thun, Kristian

doi:10.1287/trsc.2013.0461

Cited by 361 publications

(147 citation statements)

References 90 publications

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“…The literature on liner (and specifically containership) routing and scheduling problems is rich and growing, and it also encompasses network design, fleet deployment, fleet size and mix, and other related problems -see for instance the recent survey of Meng et al (2014) and the recent book of Lee and Meng (2015). Here we refer to a paper by Wang et al (2013).…”

Section: Role Of Demand Functions In Liner Problemsmentioning

confidence: 99%

Ship routing and scheduling: the cart before the horse conjecture

Psaraftis

2017

Marit Econ Logist

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The literature on ship routing and scheduling has grown substantially over the last few decades, with many papers authored by top experts in this area and examining various versions of the problem. Many publication outlets have hosted these papers, with a broad variety of problem formulations, solution approaches and application contexts. Equally broad is the range of angles of these papers, spanning the wide field from mostly theoretical analyses, focusing on specific methodological tools, all the way to applied studies, focusing on specific real-world applications. The basic hypothesis of this paper is that we are increasingly seeing papers that are more of theoretical than practical value, and in fact some of them often place the solution approach before real problem definition. As a result of this approach, the connection between these papers and reality is sometimes distant or elusive. To investigate this hypothesis, this paper tries to explain some misconceptions, refers to a limited sample of such papers, and suggests possible ways to rectify this situation in the future.

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Section: Role Of Demand Functions In Liner Problemsmentioning

confidence: 99%

Ship routing and scheduling: the cart before the horse conjecture

Psaraftis

2017

Marit Econ Logist

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“…There are few studies related to the port rotation directions of liner shipping services (Christiansen et al, 2004;Meng et al, 2013). Although the importance of the first and last ports of call in a region has been realized by researchers and practitioners (Lago et al, 2001;Notteboom, 2006), no quantitative analysis models are reported.…”

Section: Literature Reviewmentioning

confidence: 99%

Reversing port rotation directions in a container liner shipping network

Wang

Meng

2013

Transportation Research Part B: Methodological

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Reversing port rotation directions of ship routes is a practical alteration of container liner shipping networks. The port rotation directions of ship routes not only affect the transit time of containers, as has been recognized by the literature, but also the shipping capacity and transshipment cost. This paper aims to obtain the optimal port rotation directions that minimize the generalized network-wide cost including transshipment cost, slotpurchasing cost and inventory cost. A mixed-integer linear programming model is proposed for the optimal port rotation direction optimization problem and it nests a minimum cost multi-commodity network flow model. The proposed model is applied to a liner shipping network operated by a global liner shipping company. Results demonstrate that real-case instances could be efficiently solved and significant cost reductions are gained by optimization of port rotation directions. AbstractReversing port rotation directions of ship routes is a practical alteration of container liner shipping networks. The port rotation directions of ship routes not only affect the transit time of containers, as has been recognized by the literature, but also the shipping capacity and transshipment cost. This paper aims to obtain the optimal port rotation directions that minimize the generalized network-wide cost including transshipment cost, slot-purchasing cost and inventory cost. A mixed-integer linear programming model is proposed for the optimal port rotation direction optimization problem and it nests a minimum cost multicommodity network flow model. The proposed model is applied to a liner shipping network operated by a global liner shipping company. Results demonstrate that real-case instances could be efficiently solved and significant cost reductions are gained by optimization of port rotation directions.

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“…In their study, they considered a situation in which the actual container transport volume of a trade lane might be higher or lower than the shipping liner on board container volume and pointed out that the booking orders should be self-running or outsourced to other service providers on the market, so as to improve the imbalance between supply and demand at a certain level [26][27][28][29]. Especially, in the actual operational process, container shipping service providers might receive a variety of booking orders, which might be away from or beyond their self-running trade lanes.…”

Section: Introductionmentioning

confidence: 99%

Liner Shipping Fleet Deployment with Sustainable Collaborative Transportation

Sun

Weng

2016

Sustainability

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Facing sharp competition in the market for shipping companies, it is necessary to make reasonable and efficient decisions to optimize the container shipping line network so as to improve the shipping efficiency and reduce the transportation cost, as well as to realize the transportation sustainability. Therefore, the liner ship fleet deployment problem with collaborative transportation is proposed in this paper. This problem is formulated as a mixed-integer linear programming model that takes collaborative transportation into consideration. The model includes fixed cost, variable cost, berth cost, transport cost, penalty, compensation cost, and so on. To achieve the sustainable development of collaborative transportation, the shipping companies could make a selection between the internal routes and the external routes to serve each task by comparing the distance between the above routes. A real Asia-Europe-Oceania numerical experiment shows that the proposed sustainable collaborative transportation model can be efficiently solved by C++ calling ILOG CPLEX. Results demonstrate that the optimized shipping line network with sustainable collaborative transportation can improve the service efficiency, as well as the service level of shipping companies.

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Containership Routing and Scheduling in Liner Shipping: Overview and Future Research Directions

Cited by 361 publications

References 90 publications

Ship routing and scheduling: the cart before the horse conjecture

Ship routing and scheduling: the cart before the horse conjecture

Reversing port rotation directions in a container liner shipping network

Liner Shipping Fleet Deployment with Sustainable Collaborative Transportation

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