A Multi-objective Fuzzy Goal Programming P-hub Location and Protection Model with Back-up Hubs Considering Hubs Establishment Fixed Costs

Masoumzadeh, Sina; Solimanpur, Maghsud; Kamran, Mehdi A.

doi:10.24200/sci.2016.3939

Cited by 3 publications

(1 citation statement)

References 34 publications

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“…Given the nonlinearity of their proposed model, An et al employed Lagrangian and branch-and-bound methods in various dimensions. The study of Masoumzadeh et al [40] can serve as a guide for managers and decision-makers who are looking for optimum hub locations under budget restrictions. Concentrating on the critical role of hubs in a telecommunication network, they stressed the necessity of taking precautions to protect such networks against possible disruptions.…”

Section: Reliable Facility Locationmentioning

confidence: 99%

Reliable Hierarchical Multimodal Hub Location Problem: Models and Lagrangian Relaxation Algorithm

2018

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Hub facility location problems involve the establishment of strategic hub facilities and the allocation of demand nodes to them. Meanwhile, with the emergence of new transport and distribution networks with multi-level structures, the design of such networks has evolved. The diversity of transportation system has added multimodality to these problems. Considering the strategic nature and long-term implications of decisionmaking in this eld, the decisions shall be of high reliability. The present study is an attempt to consider the reliability of communication paths in proportion to the volume of transactions through them while covering all of the above-mentioned issues in hub location problems at the same time. Incorporating hierarchical characteristics of the problem into the model, one can obtain a signi cantly enhanced model in terms of multimodality and reliability. A Lagrangian solution method was developed considering the strategic level of the problem and the importance of the solution accuracy. The model was then validated in terms of time and quality.

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Section: Reliable Facility Locationmentioning

confidence: 99%

Reliable Hierarchical Multimodal Hub Location Problem: Models and Lagrangian Relaxation Algorithm

2018

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Solving a hub location-routing problem with a queue system under social responsibility by a fuzzy meta-heuristic algorithm

et al. 2021

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Meeting economic and social viability goals in regional airline schemes through hub-and-spoke network connectivity

Sindhwani,

Jayaram,

Ivanov

2024

Ann Oper Res

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We examine the viability of regional connectivity schemes by considering both social and economic objectives. In India the scheme is called UDAN (loosely translated affordable air travel) which is designed to include economically backward communities in India into the air travel grid. Using secondary data sources from the airline sector in India, and qualitative interviews of knowledgeable personnel in the airline industry, we demonstrate the importance of hub-and-spoke network design in comparison to point-to-point connectivity for regional connectivity networks. Specifically, we develop Viable Hub Location Problem for Regional Connectivity (VHLPRC) for resilience and sustainability through bilevel optimization with single leader and two independent followers. We test our proposed approach using datasets from USA and India. Our analyses suggest strategically choosing primary hubs and re-routing traffic through regional hubs for long-term commercial viability or survivability of regional connectivity schemes. The introduction of regional hubs had mixed effects. On the positive side, it improved reach, albeit at considerable (hidden) costs. On the negative side, several sub-programs had to be abandoned for a variety of reasons, including lack of demand traffic. The lessons learned from this study inform policy makers, academics, and practicing managers on how to remain viable and sustain operations in regional connectivity schemes. With the introduction of social variables, commercial viability has been shown to face specific real-life challenges. An attempt to help solve these problems is also presented in this paper through risk reduction, capacity augmentation, and by continuing fare subsidies.

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A Multi-objective Fuzzy Goal Programming P-hub Location and Protection Model with Back-up Hubs Considering Hubs Establishment Fixed Costs

Cited by 3 publications

References 34 publications

Reliable Hierarchical Multimodal Hub Location Problem: Models and Lagrangian Relaxation Algorithm

Reliable Hierarchical Multimodal Hub Location Problem: Models and Lagrangian Relaxation Algorithm

Solving a hub location-routing problem with a queue system under social responsibility by a fuzzy meta-heuristic algorithm

Meeting economic and social viability goals in regional airline schemes through hub-and-spoke network connectivity

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