Container movement by trucks in metropolitan networks: modeling and optimization

Jula, Hossein; Dessouky, Maged; Ioannou, Pétros; Chassiakos, Anastasios

doi:10.1016/j.tre.2004.03.003

Cited by 114 publications

(61 citation statements)

References 20 publications

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“…This may be contrasted with previous methodological approaches to problems of a similar structure in freight transport, which are limited by the fact that they aim to incorporate conflicting objectives of the actors into a single level optimization problem, either by constraints (e.g. Hu et al, 2002;Nozick, 2001;Jula et al, 2005), weighted optimization (e.g. Korpela et al, 2001), or a (single-level) multiobjective optimization (Tzeng et al, 2007).…”

Section: Discussionmentioning

confidence: 99%

“…Likewise, Jula et al (2005) considered optimal routing of container lorries including so-called 'social constraints', which are enforced by the carriers to ensure that drivers do not work beyond a certain amount of hours per shift. Chang et al (2007) proposed a stochastic programming problem with capacity constraints for emergency logistics planning.…”

Section: Problem Formulationmentioning

confidence: 99%

See 1 more Smart Citation

Modelling planner–carrier interactions in road freight transport: Optimisation of road maintenance costs via overloading control

Moreno-Quintero

Fowkes

Watling

2013

Transportation Research Part E: Logistics and Transportation Re

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-A bi-level modelling approach is proposed to represent the interaction between the vehicle loading practices of road freight transport carriers, and the decisions of a road planning authority responsible both for road maintenance and for the enforcement of overloading control. At the lower (reactive) level, the overloading decisions of the carriers impact on road maintenance expenditure, while at the upper (anticipatory) level the planner decides fine and enforcement levels by anticipating the responses of the carriers. A case study using data from Mexico is used to illustrate the method.

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Section: Discussionmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

Modelling planner–carrier interactions in road freight transport: Optimisation of road maintenance costs via overloading control

Moreno-Quintero

Fowkes

Watling

2013

Transportation Research Part E: Logistics and Transportation Re

View full text Add to dashboard Cite

show abstract

“…Mes et al (2007; propose an agent-based approach for a dynamic version of the FT-PDPTW. Jula et al (2005) and Wang and Regan (2002) show that a FT-PDPTW may be transformed to an asymmetric multiple vehicle Travelling Salesman Problem with Time Windows (am-TSPTW) by collapsing each transport request into a single node. Wang and Regan (2002) use a time window partitioning method to solve the problem.…”

Section: Full Truckload Routingmentioning

confidence: 99%

Integrated planning of loaded and empty container movements

2012

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Efficiently planning drayage operations is an important task for transportation companies since these operations constitute a large part of the cost of an intermodal transport. In this paper a full truckload vehicle routing problem for transporting loaded and empty containers in drayage operations is studied. For empty container transports either the origin or the destination is not predefined. The problem is formulated as an asymmetric multiple vehicle Travelling Salesman Problem with Time Windows (am-TSPTW). Two solution approaches are proposed: a sequential and an integrated approach. For both approaches, a single and a two-phase deterministic annealing algorithm are presented. Results show that the proposed algorithms are able to find good quality solutions in a small amount of computation time. The integrated approach clearly outperforms the sequential one and the results confirm the advantage of using a two-phase algorithm for vehicle routing problems with hierarchical objectives. Finally, it is shown that the proposed integrated solution method improves previous results on a similar problem.

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“…First, in most of the related studies containers are supposed to be left at customer locations, and drivers can move to other customers, thereby bypassing packing and unpacking operations (Wang et al 2002;Jula et al 2005;Chung et al 2007;Zhang et al 2010Zhang et al , 2011Vidovic et al 2011;Braekers et al 2013;Nossack and Pesch 2013). Conversely, in this case study trucks move loaded containers to import customers and drivers wait for the empty containers, while unpacking operations are performed.…”

Section: Introductionmentioning

confidence: 99%

“…Second, in this case study routes are performed by two types of trucks carrying one or two containers, respectively, whereas most of the related literature concerns one container per truck (Wang et al 2002;Jula et al 2005;Zhang et al 2011Zhang et al , 2010Braekers et al 2013;Nossack and Pesch 2013). The case more than one container has been dealt with only recently (Vidovic et al 2017;Funke and Kopfer 2016).…”

Section: Introductionmentioning

confidence: 99%

A set-covering formulation for a drayage problem with single and double container loads

et al. 2018

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This paper addresses a drayage problem, which is motivated by the case study of a real carrier. Its trucks carry one or two containers from a port to importers and from exporters to the port. Since up to four customers can be served in each route, we propose a set-covering formulation for this problem where all possible routes are enumerated. This model can be efficiently solved to optimality by a commercial solver, significantly outperforming a previously proposed node-arc formulation. Moreover, the model can be effectively used to evaluate a new distribution policy, which results in an enlarged set of feasible routes and can increase savings w.r.t. the policy currently employed by the carrier.

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Container movement by trucks in metropolitan networks: modeling and optimization

Cited by 114 publications

References 20 publications

Modelling planner–carrier interactions in road freight transport: Optimisation of road maintenance costs via overloading control

Modelling planner–carrier interactions in road freight transport: Optimisation of road maintenance costs via overloading control

Integrated planning of loaded and empty container movements

A set-covering formulation for a drayage problem with single and double container loads

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