Decision of Multimodal Transportation Scheme Based on Swarm Intelligence

Lei, Kai; Zhu, Xiaoning; Hou, Jianfei; Wei-liang, Huang

doi:10.1155/2014/932832

Cited by 20 publications

(28 citation statements)

References 2 publications

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“…Models whose optimization object is one commodity concentrate on the multi-modal transportation freight routing planning for a specific customer with transportation demand, e.g. Barnhart and Ratliff [22], Xiong and Wang [18] and Lei et al [23]. In these studies, an optimal route is needed to move the commodity from its origin to its destination through the multi-modal transportation network.…”

Section: Optimization Object: Single Commodity Vs Multiple Commoditiesmentioning

confidence: 99%

“…Many studies by Sun et al [36], Xiong and Wang [18] and Lei et al [23] etc., considered all the transportation modes adopted the time-flexible service pattern, and the main procedure of the commodities at the terminals can be simply summarized as "arrival → transshipment → departure". In fact, apart from the time-flexible service pattern, there also exists scheduled service pattern in the multi-modal transportation network.…”

Section: Transportation Service Pattern: Single Pattern Vs Multiple mentioning

confidence: 99%

“…Thus many studies established multiobjective optimization models to identify rational routes that can make a tradeoff between costs optimum and transportation efficiency optimum (e.g. Chang [12], Xiong and Wang [18] and Lei et al [23]) or between costs optimum and carbon emissions optimum (e.g. Sun and Chen [41]).…”

Section: Optimization Criterion: Single Objective Vs Multiple Objectmentioning

confidence: 99%

“…The multiobjective optimization is converted into a single objective one. Chang [12] and Lei et al [23] adopted this method in their studies.…”

Section: Optimization Criterion: Single Objective Vs Multiple Objectmentioning

confidence: 99%

“…In the relevant studies, following parameters are all set as fixed values: Transportation demand; travel time (e.g. Chang [12] and Lei et al [23]) or travel speed (e.g. Xiong and Wang [18]) on tracks; transshipping time at terminals.…”

Section: Transportation Case: Deterministic Case Vs Stochastic Casementioning

confidence: 99%

See 4 more Smart Citations

Optimization Models and Solution Algorithms for Freight Routing Planning Problem in the Multi-Modal Transportation Networks: A Review of the State-of-the-Art

Sun¹,

Lang²,

Wang³

2015

TOCIEJ

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Abstract:With the remarkable development of international trade, global commodity circulation has grown significantly. To accomplish commodity circulation among various regions and countries, multi-modal transportation scheme has been widely adopted by a large number of companies. Meanwhile, according to the relevant statistics, the international logistics costs reach up to approximate 30-50% of the total production cost of the companies 1 . Lowering the transportation costs has become one of the most important sources for a company to raise profits and maintain competitiveness in the global market. Thus, how to optimize freight routes selection to move commodities through the multi-modal transportation network has gained great concern of both the decision makers of the companies and the multi-modal transport operators. In this study, we present a systematical review on the multi-modal transportation freight routing planning problem from the aspects of model formulation and algorithm design. Following contents are covered in this review: (1) distinguishing the formulation characteristics of various optimization models; (2) identifying the optimization models in recent studies according to the formulation characteristics; and (3) discussing the solution approaches that are developed to solve the optimization models, especially the heuristic algorithms.

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Section: Optimization Object: Single Commodity Vs Multiple Commoditiesmentioning

confidence: 99%

Section: Transportation Service Pattern: Single Pattern Vs Multiple mentioning

confidence: 99%

Section: Optimization Criterion: Single Objective Vs Multiple Objectmentioning

confidence: 99%

“…The multiobjective optimization is converted into a single objective one. Chang [12] and Lei et al [23] adopted this method in their studies.…”

Section: Optimization Criterion: Single Objective Vs Multiple Objectmentioning

confidence: 99%

Section: Transportation Case: Deterministic Case Vs Stochastic Casementioning

confidence: 99%

See 3 more Smart Citations

Optimization Models and Solution Algorithms for Freight Routing Planning Problem in the Multi-Modal Transportation Networks: A Review of the State-of-the-Art

Sun¹,

Lang²,

Wang³

2015

TOCIEJ

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Multimodal Freight Transport Optimization Based on Economic and Ecological Constraint

Rejeb,

Chaabani,

Safi

et al. 2023

Unsupervised and Semi-Supervised Learning

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Opportunities and Challenges in the Design and Analysis of Biomass Supply Chains

Lautala

Hilliard

Webb

et al. 2015

Environmental Management

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The biomass supply chain is one of the most critical elements of large-scale bioenergy production and in many cases a key barrier for procuring initial funding for new developments on specific energy crops. Most productions rely on complex transforming chains linked to feed and food markets. The term 'supply chain' covers various aspects from cultivation and harvesting of the biomass, to treatment, transportation, and storage. After energy conversion, the product must be delivered to final consumption, whether it is in the form of electricity, heat, or more tangible products, such as pellets and biofuels. Effective supply chains are of utmost importance for bioenergy production, as biomass tends to possess challenging seasonal production cycles and low mass, energy and bulk densities. Additionally, the demand for final products is often also dispersed, further complicating the supply chain. The goal of this paper is to introduce key components of biomass supply chains, examples of related modeling applications, and if/how they address aspects related to environmental metrics and management. The paper will introduce a concept of integrated supply systems for sustainable biomass trade and the factors influencing the bioenergy supply chain landscape, including models that can be used to investigate the factors. The paper will also cover various aspects of transportation logistics, ranging from alternative modal and multi-modal alternatives to introduction of support tools for transportation analysis. Finally gaps and challenges in supply chain research are identified and used to outline research recommendations for the future direction in this area of study.

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Decision of Multimodal Transportation Scheme Based on Swarm Intelligence

Cited by 20 publications

References 2 publications

Optimization Models and Solution Algorithms for Freight Routing Planning Problem in the Multi-Modal Transportation Networks: A Review of the State-of-the-Art

Optimization Models and Solution Algorithms for Freight Routing Planning Problem in the Multi-Modal Transportation Networks: A Review of the State-of-the-Art

Multimodal Freight Transport Optimization Based on Economic and Ecological Constraint

Opportunities and Challenges in the Design and Analysis of Biomass Supply Chains

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