A metaheuristic for the multimodal network flow problem with product quality preservation and empty repositioning

SteadieSeifi, Maryam; Dellaert, Nico; Nuijten, Wpm Wim; Woensel, Tom Van

doi:10.1016/j.trb.2017.07.007

Cited by 21 publications

(7 citation statements)

References 51 publications

(83 reference statements)

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“…In the research stream of network flow models, a variety of models have been presented for global shipping networks or intermodal transport networks, e.g., network optimization model within a decision support system [22], container flow-balancing models [23], stochastic programming models [24,25], time-space network flow models (e.g., [26][27][28]), scenario-based linear programming or mixed-integer programming models [29,30], mixed-integer linear programming model considering purchasing [31], stochastic linear programming model [32], flow-balancing models considering foldable containers [33,34], multicommodity capacitated network flow problem considering perishable products [35], and multi-commodity network flow problem considering combinable containers [36]. In general, network flow models often produce a matrix of empty container flows between nodes (in static situations), or a time-stamped matrix of empty container flows between nodes (in time-dependent situations).…”

Section: Container Logisticsmentioning

confidence: 99%

A Literature Review, Container Shipping Supply Chain: Planning Problems and Research Opportunities

Song

2021

Logistics

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This paper provides an overview of the container shipping supply chain (CSSC) by taking a logistics perspective, covering all major value-adding segments in CSSC including freight logistics, container logistics, vessel logistics, port/terminal logistics, and inland transport logistics. The main planning problems and research opportunities in each logistics segment are reviewed and discussed to promote further research. Moreover, the two most important challenges in CSSC, digitalization and decarbonization, are explained and discussed in detail. We raise awareness of the extreme fragmentation of CSSC that causes inefficient operations. A pathway to digitalize container shipping is proposed that requires the applications of digital technologies in various business processes across five logistics segments, and change in behaviors and relationships of stakeholders in the supply chain. We recognize that shipping decarbonization is likely to take diverse pathways with different fuel/energy systems for ships and ports. This gives rise to more research and application opportunities in the highly uncertain and complex CSSC environment.

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Section: Container Logisticsmentioning

confidence: 99%

A Literature Review, Container Shipping Supply Chain: Planning Problems and Research Opportunities

Song

2021

Logistics

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“…Since many new constraints about collision avoidance are added, the problem in the paper is more complex and harder to solve. SteadieSeifi [ 34 ] studied the complexity of this kind of problem and stated that even in small instances, the number of decision variables and constraints was huge, and these numbers would grow rapidly as the scale of the instance increases. The research showed that this kind of problem was difficult to obtain the optimality with current Mixed Integer Programming (MIP) solver, and it mattered to propose an algorithm that could get a better solution in a shorter time.…”

Section: Algorithmmentioning

confidence: 99%

Modelling of integrated scheduling problem of capacitated equipment systems with a multi-lane road network

Zhao

Qing-hua

et al. 2021

PLoS ONE

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The coordination of different container-handling equipment is an important method for improving the overall efficiency of automated container terminals. In the real terminal, we should consider many real-life issues, such as the equipment capacity, the equipment collision, changing lanes in the multi-lane road, and choosing one of container-handling lanes for each container. This paper proposes the integrated scheduling problem of three container-handling equipment with the capacity constraint and the dual-cycle strategy, for simultaneously solving the equipment scheduling problem, the assignment problem of the container-handling lane and the conflict-free route planning problem of automated guided vehicles (AGVs). With the objective of minimizing the ship’s berth time, we propose a mixed-integer programming model based on the space-time network representation method and two bilevel optimization algorithms based on conflict resolution rules. Finally, numerical experiments are conducted to verify the effectiveness of the proposed model and two bilevel optimization algorithms.

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“…The vehicle fleet is often considered homogeneous; only two papers discuss a heterogeneous fleet (Dotoli and Epicoco, 2016;Pérez Rivera and Mes, 2017). Multiple vehicle depots can be included (Zhang et al, 2009(Zhang et al, , 2010Nossack and Pesch, 2013;Sterzik and Kopfer, 2013;Reinhardt et al, 2016;Shiri and Huynh, 2016). Moreover, to cope with imbalances between demand and supply of containers at different loca- tions, the allocation of empty containers can be modelled (Francis et al, 2007;Zhang et al, 2009Zhang et al, , 2010Braekers et al, 2013;Nossack and Pesch, 2013;Sterzik and Kopfer, 2013;Reinhardt et al, 2016;Shiri and Huynh, 2016;Pérez Rivera and Mes, 2017).…”

Section: Pre-and End-haulage Transportmentioning

confidence: 99%

“…Although a number of papers include multiple terminals (Francis et al, 2007;Zhang et al, 2010;Sterzik and Kopfer, 2013;Nossack and Pesch, 2013;Braekers et al, 2013;Shiri and Huynh, 2016;Pérez Rivera and Mes, 2017), it is generally assumed that the pickup location (i.e., arrival terminal) of inbound full containers and delivery location (i.e., departure terminal) of outbound full containers are known and fixed. This implies that long-haul routing decisions are assumed to be given.…”

Section: Pre-and End-haulage Transportmentioning

confidence: 99%

Optimising load planning and container routing in intermodal rail transport

Heggen¹

2019

4OR-Q J Oper Res

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A metaheuristic for the multimodal network flow problem with product quality preservation and empty repositioning

Cited by 21 publications

References 51 publications

A Literature Review, Container Shipping Supply Chain: Planning Problems and Research Opportunities

A Literature Review, Container Shipping Supply Chain: Planning Problems and Research Opportunities

Modelling of integrated scheduling problem of capacitated equipment systems with a multi-lane road network

Optimising load planning and container routing in intermodal rail transport

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