A literature survey of HUB location problems and methods with emphasis on the marine transportations

Zabihi, Amir; Gharakhani, Mohsen

doi:10.5267/j.uscm.2017.5.003

Cited by 12 publications

(6 citation statements)

References 34 publications

(40 reference statements)

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“…p-hub center and p-hub covering) by considering other objective functions exist in the literature. For more surveys on the HLP, the interested reader may refer to review papers in the literature given by Campbell et al (2002), Alumur and Kara (2008), Zabihi and Gharakhani (2018), Contreras and O'Kelly (2019) and Basu et al (2015). Sadeghi et al (2015) presented two-stage stochastic programming for formulating stochastic incapacitated multiple allocation HLPs.…”

Section: Literature Reviewmentioning

confidence: 99%

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A multiproject scheduling and resource management model in projects construction

Cheraghi

Zohrehvandi

Vanhoucke

et al. 2022

ECAM

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PurposeThis research presents a multiproject scheduling and resource management (MPSRM) model that includes an M/M/c/n queue system, a p-hub median model, a parallel machine scheduling and a hub location problem solution method. This research aims to design a project network and then sequence raw materials delivery to hub factories.Design/methodology/approachThis research is implemented as a case study in construction and industrial company. It considers several mines to supply raw materials for production in hub factories. In the sequencing phase, a parallel mine scheduling problem specifies the delivery of raw materials to hub factories. Furthermore, a multisource project scheduling model is studied and designed for building project-oriented companies.FindingsThe results suggest that the proposed MPSRM model in this study significantly reduces project transportation costs. Therefore, creating accurate planning in projects, especially in construction projects where transportation plays an important role, can help reduce time and costs. Researchers, project managers and those dealing with projects can use this model to exploit their projects.Research limitations/implicationsWhen the number of construction projects in a construction company increases in a region, choosing an appropriate strategy to supply resources and raw materials becomes very important in terms of profit and loss and project completion as scheduled. An increase in transportation demands alongside the economic development on the one hand and providing competitive transportation services, on the other hand, have increasingly spotlighted the significance of hub networks in transportation systems. In addition, in this research, there is no suitable access road from the mines to the project sites, and considering the workload, if any of the projects become a hub, a proper road should be built.Originality/valueTo the best of the knowledge, there is no outstanding research in which a p-hub median location problem by considering queuing model and different transportation modes and a parallel machine scheduling problem are studied simultaneously.

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Section: Literature Reviewmentioning

confidence: 99%

“…For more surveys on the HLP, the interested reader may refer to review papers in the literature given by Campbell et al. (2002), Alumur and Kara (2008), Zabihi and Gharakhani (2018), Contreras and O'Kelly (2019) and Basu et al. (2015).…”

Section: Literature Reviewmentioning

confidence: 99%

A multiproject scheduling and resource management model in projects construction

Cheraghi

Zohrehvandi

Vanhoucke

et al. 2022

ECAM

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“…Several MILP models are presented in [19] for the capacitated HLP, and tight valid inequalities are identified in a B&B algorithm. A survey of HLPs is presented in [20], where some real-world applications, models and decomposition algorithms for problem solving are reviewed by considering works in the literature from 2013 to 2016. A further comprehensive review is presented in [21] for the classical HLP.…”

Section: Static Deterministic Hub Locationmentioning

confidence: 99%

“…Constraint (20) prevents the service mode between nodes i and j under an operational scenario, provided that both nodes were made hub available by the strategic node which the operational scenario belongs to. Note that the classical tight modeling object (20) since, in this case, it should only restrict the non-stop service mode to the situation where neither of the two related network nodes is a hub. Constraint (21) ensures that the overall flow originated in a node is transported by using the hub network as well as the non-stop service mode, if needed.…”

Section: Dem For Ms-hub-nepmentioning

confidence: 99%

On Multistage Multiscale Stochastic Capacitated Multiple Allocation Hub Network Expansion Planning

Escudero

Monge

2021

Mathematics

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The hub location problem (HLP) basically consists of selecting nodes from a network to act as hubs to be used for flow traffic directioning, i.e., flow collection from some origin nodes, probably transfer it to other hubs, and distributing it to destination nodes. A potential expansion on the hub building and capacitated modules increasing along a time horizon is also considered. So, uncertainty is inherent to the problem. Two types of time scaling are dealt with; specifically, a long one (viz., semesters, years), where the strategic decisions are made, and another whose timing is much shorter for the operational decisions. Thus, two types of uncertain parameters are also considered; namely, strategic and operational ones. This work focuses on the development of a stochastic mixed integer linear optimization modeling framework and a matheuristic approach for solving the multistage multiscale allocation hub location network expansion planning problem under uncertainty. Given the intrinsic difficulty of the problem and the huge dimensions of the instances (due to the network size of realistic instances as well as the cardinality of the strategic scenario tree and operational ones), it is unrealistic to seek an optimal solution. A matheuristic algorithm, so-called SFR3, is introduced, which stands for scenario variables fixing and iteratively randomizing the relaxation reduction of the constraints and variables’ integrality. It obtains a (hopefully, good) feasible solution in reasonable time and a lower bound of the optimal solution value to assess the solution quality. The performance of the overall approach is computationally assessed by using stochastic-based perturbed well-known CAB data.

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“…Since then, the problem has received much attention considering different variations and different solution approaches. The interested reader can refer to different surveys on HLP [26]- [28].…”

Section: Related Workmentioning

confidence: 99%

A New Model for the Multi-Objective Multiple Allocation Hub Network Design and Routing Problem

2019

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In this paper, we propose a new model for the multi-objective multiple allocation hub network design and routing problem which contains determining the location of hubs, the design of hub network, and the routing of commodities between source-destination pairs in the given network. The selected hubs are not assumed to be fully connected, and each node and arc in the network has capacity constraints. The multiple objectives of the problem are the minimization of total fixed and transportation costs and the minimization of the maximum travel time required for routing. We propose a mathematical formulation for the multiobjective problem and present a meta-heuristic solution based on a well-known multi-objective evolutionary algorithm. Using the proposed formulation, we are able to find the optimal solution for small networks of five nodes and seven nodes. To evaluate the performance of our heuristic approach on real data, the computational experiments are conducted on Turkish postal system data set. The results demonstrate that our heuristic approach can find feasible solutions to the problem in reasonable execution time, which is less than 10 min.INDEX TERMS Capacitated hub location problem, heuristic algorithms, mathematical model, pareto optimization, routing and network design.

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A literature survey of HUB location problems and methods with emphasis on the marine transportations

Cited by 12 publications

References 34 publications

A multiproject scheduling and resource management model in projects construction

A multiproject scheduling and resource management model in projects construction

On Multistage Multiscale Stochastic Capacitated Multiple Allocation Hub Network Expansion Planning

A New Model for the Multi-Objective Multiple Allocation Hub Network Design and Routing Problem

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