A risk assessment based optimization method for route selection of hazardous liquid railway network

Zhang, Haoran; Yuan, Meng; Wang, Bohong; Zhang, Wan; Zheng, Jianqin

doi:10.1016/j.ssci.2018.04.003

Cited by 32 publications

(15 citation statements)

References 23 publications

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“…The problem is formulated by using Eqs. (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18). The significant weights obtained using the AHP method in the previous phase are added into the objective function of ZOGP.…”

Section: Zero-one Goal Programingmentioning

confidence: 99%

See 1 more Smart Citation

Multi-objective Optimization of Freight Route Choices in Multimodal Transportation

Kaewfak¹,

Ammarapala²,

Huynh³

2021

IJCIS

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Route selection strategy has become the main aspect in the multimodal transportation system. The transport cost and time as well as the inherent risks must be considered when determining a corrective design plan. The selection of a multimodal transportation network route is a complex multi-objective decision problem. Therefore, considering the impact factors such as the transport cost, time, and comprehensive risk assessment model were further created. This paper develops a decision support model using an analytic hierarchy process (AHP) and zero-one goal programing (ZOGP) to determine an optimal multimodal transportation route. AHP is employed to determine weights of each factor, which rely on expert judgments. The significant weights of criteria obtained from AHP can be integrated in the objective function of ZOGP which is used to generate the optimal route. The empirical case study of coal manufacturing is conducted to demonstrate the proposed model. This methodology can provide a guidance for effectively determining the multimodal transportation routes to improve performance of logistics systems.

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Section: Zero-one Goal Programingmentioning

confidence: 99%

“…established a multi-objective optimization model for railway route selection in China. Zhang et al [12]. proposed a multi-objective optimisation model for route selection of hazardous liquid on the railway network.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective Optimization of Freight Route Choices in Multimodal Transportation

Kaewfak¹,

Ammarapala²,

Huynh³

2021

IJCIS

View full text Add to dashboard Cite

show abstract

“…The first distribution of fossil fuel, a process of transporting oil products from refineries to depots through pipelines [1], railways [2], highways [3], waterways [4], etc., plays a significant role in national energy supply and has been focused by researchers for decades. Sales enterprises provide purchasing schemes of each depot center for scheduling control department [5], [6].…”

Section: Introduction a Backgroundmentioning

confidence: 99%

A Stochastic Linear Programming Method for the Reliable Oil Products Supply Chain System With Hub Disruption

Zhang

Liao

et al. 2019

IEEE Access

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This paper focuses on a reliable design of oil products supply chain system, which is conductive to promote the sales of oil products. A multi-scenario MILP (Mixed Integer Linear Programming) model coupled with Monte Carlo sampling is employed for optimizing the supply chain system with considering the transportation process of oil products, the stochastic hub disruption and the demand uncertainty. A real-world case is presented to illustrate the accuracy, applicability and efficiency of the proposed model. High-quality solutions are obtained successfully under deterministic conditions as well as uncertain conditions. Then, the effect of uncertainties on the supply chain system design is also analyzed. Finally, the results demonstrate that the stability and flexibility of the designed supply chain system could be substantially improved with less extra costs. INDEX TERMS Oil products supply chain system, reliable deign, multiple transportation modes, stochastic hub disruption, demand uncertainty, Monte Carlo sampling.

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“…UAV inspection paths of pipeline networks should be optimized to reduce manpower and to use material resources effectively. Previous research on optimization of inspection path focused on power grids, railway networks (Zhang et al 2018b) and other networks. However, oil and gas pipeline network topology is more complicated (Wang et al 2018a, b;Zhang et al 2017b, d) and difficult to work out.…”

Section: Introductionmentioning

confidence: 99%

A two-stage optimization method for unmanned aerial vehicle inspection of an oil and gas pipeline network

et al. 2019

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Oil and gas pipeline networks are a key link in the coordinated development of oil and gas both upstream and downstream. To improve the reliability and safety of the oil and gas pipeline network, inspections are implemented to minimize the risk of leakage, spill and theft, as well as documenting actual incidents. In recent years, unmanned aerial vehicles have been recognized as a promising option for inspection due to their high efficiency. However, the integrated optimization of unmanned aerial vehicle inspection for oil and gas pipeline networks, including physical feasibility, the performance of mission, cooperation, real-time implementation and three-dimensional (3-D) space, is a strategic problem due to its large-scale, complexity as well as the need for efficiency. In this work, a novel mixed-integer nonlinear programming model is proposed that takes into account the constraints of the mission scenario and the safety performance of unmanned aerial vehicles. To minimize the total length of the inspection path, the model is solved by a two-stage solution method. Finally, a virtual pipeline network and a practical pipeline network are set as two examples to demonstrate the performance of the optimization schemes. Moreover, compared with the traditional genetic algorithm and simulated annealing algorithm, the self-adaptive genetic simulated annealing algorithm proposed in this paper provides strong stability.

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A risk assessment based optimization method for route selection of hazardous liquid railway network

Cited by 32 publications

References 23 publications

Multi-objective Optimization of Freight Route Choices in Multimodal Transportation

Multi-objective Optimization of Freight Route Choices in Multimodal Transportation

A Stochastic Linear Programming Method for the Reliable Oil Products Supply Chain System With Hub Disruption

A two-stage optimization method for unmanned aerial vehicle inspection of an oil and gas pipeline network

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