Optimization of Vehicle Routing Problem with Time Windows for Cold Chain Logistics Based on Carbon Tax

Wang, Songyi; Tao, Fengming; Shi, Yuhe; Wen, Haolin

doi:10.3390/su9050694

Cited by 127 publications

(141 citation statements)

References 34 publications

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“…We set the value of carbon tax C 0 (unit: CNY/kg) from 0 to 25 in the model with referring to the literatures [5,36]. Each C 0 value is taken into the model to solve 10 times and the numerical value of the scheme with the optimal objective function is recorded, and then results can be obtained, as in Figures 2-4.…”

Section: Results With Different Carbon Tax Valuesmentioning

confidence: 99%

“…There are six test examples listed in the test question database (that is, R1, C1, RC1, R2, C2, and RC2), and this paper randomly selects two problems from each type of examples to form test data sets, which are solved by the traditional genetic algorithm (GA), the cycle evolutionary genetic algorithm (CEGA) [5], and HGA proposed in this paper. The results are shown in Table 2.…”

Section: Algorithm Experimentsmentioning

confidence: 99%

“…The transportation of petrochemical products will generate a large amount of carbon emissions, which will lead to the increase of greenhouse gases, exacerbating air pollution and the greenhouse effect [3,4]. With the continuous promulgation of the carbon tax and other regulatory policies, the low-carbon transportation is imperative [5]. Therefore, it is necessary to optimize the design of the refined oil distribution network while considering the constraints of efficiency and environment, thus reaching a balanced state of economic efficiency and environmental benefits to achieve a win-win situation.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Inventory Routing Problem in Refined Oil Logistics with the Perspective of Carbon Tax

2018

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Abstract:In order to solve the optimization problem of the refined oil distribution system from the perspectives of low-carbon and environmental protection, this paper focuses on the characteristics of the secondary distribution of refined oil and combines it with the integrated optimization concept of refined oil distribution network, where a low-carbon inventory routing problem (LCIRP) model is constructed with the minimum total costs as the objective function on the basis of considering carbon emissions. An adaptive genetic algorithm combined with greedy algorithm is designed to solve the model, and an example is given to verify the effectiveness of the algorithm. Then, this paper solves the model with two parts by introducing a practical numerical example: in the first part, the LCIRP models with different carbon tax values are solved, which verifies the effectiveness of the model and proves that carbon tax policies can effectively reduce the carbon emissions in the secondary distribution network of refined oil; in the second part, the LCIRP models with the different maximum load capacity of oil tank trucks are solved, which provides the economic and environmentally friendly distribution schemes for refined oil distribution enterprises under the premise of carbon tax policies and load limitation. Finally, the emission reduction proposals that take into account both economic and environmental benefits are given respectively from the aspect of government environmental protection agencies and from the aspect of refined oil distribution enterprises.

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Section: Results With Different Carbon Tax Valuesmentioning

confidence: 99%

Section: Algorithm Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimization of Inventory Routing Problem in Refined Oil Logistics with the Perspective of Carbon Tax

2018

Self Cite

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“…Secondly, in general, since most of measurements of carbon emissions derived from different types of energy or fields is commonly known [34], carbon emissions produced by unit energy-consumed to accomplish each ET can be naturally obtained. Thirdly, energy-consumed in unit is always directly or indirectly related to distance, time and others [35]. To a large extent, other dimensions are able to be replaced by time through some transformations [36,37].…”

Section: Problem Definitionmentioning

confidence: 99%

Multi-Objective Optimization Model of Emergency Organization Allocation for Sustainable Disaster Supply Chain

Cao

Qin

et al. 2017

Sustainability

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Abstract:To mitigate or reduce various losses and improve efficiency of disaster response, the focus of this paper is to design optimized strategies of emergency organization allocation regarding sustainability. Firstly, an integrated framework including several elements such as emergency organization, task, decision-agents, environment and their relations is developed from a systematic perspective. Then, this problem is formulated as a novel multi-objective 0-1 integer programming model to minimize total weighted completion times, total carbon emissions and total emergency costs. Next, branch and bound approach and handling strategies for multiple objectives are designed to solve this model. Finally, a case study from the Wenchuan earthquake is presented to illustrate the proposed model and solution strategies. Computational results demonstrate their significant potential advantages on allocating emergency organization from the perspectives of best practice, objective functions, preferences of decision-agents, and problem size.

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“…In this paper, the emissions from an empty truck is assumed to be a part of the emission factor in warehousing because of their structural similarity as defined in [10,11]. For simplicity, an average load factor is assumed to be a part of the emission factors, which means we consider homogeneous trucks similar to [27]. Furthermore, the weight of a load is ignored when calculating the amount of carbon emission.…”

Section: Modeling Of the Direct Shipment Strategymentioning

confidence: 99%

A Joint Optimal Decision on Shipment Size and Carbon Reduction under Direct Shipment and Peddling Distribution Strategies

Min

Chung

2017

Sustainability

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Abstract:Recently, much research has focused on lowering carbon emissions in logistics. This paper attempts to contribute to the literature on the joint shipment size and carbon reduction decisions by developing novel models for distribution systems under direct shipment and peddling distribution strategies. Unlike the literature that has simply investigated the effects of carbon costs on operational decisions, we address how to reduce carbon emissions and logistics costs by adjusting shipment size and making an optimal decision on carbon reduction investment. An optimal decision is made by analyzing the distribution cost including not only logistics and carbon trading costs but also the cost for adjusting carbon emission factors. No research has explicitly considered the two sources of carbon emissions, but we develop a model covering the difference in managing carbon emissions from transportation and storage. Structural analysis guides how to determine an optimal shipment size and emission factors in a closed form. Moreover, we analytically prove the possibility of reducing the distribution cost and carbon emissions at the same time. Numerical analysis follows validation of the results and demonstrates some interesting findings on carbon and distribution cost reduction.

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Optimization of Vehicle Routing Problem with Time Windows for Cold Chain Logistics Based on Carbon Tax

Cited by 127 publications

References 34 publications

Optimization of Inventory Routing Problem in Refined Oil Logistics with the Perspective of Carbon Tax

Optimization of Inventory Routing Problem in Refined Oil Logistics with the Perspective of Carbon Tax

Multi-Objective Optimization Model of Emergency Organization Allocation for Sustainable Disaster Supply Chain

A Joint Optimal Decision on Shipment Size and Carbon Reduction under Direct Shipment and Peddling Distribution Strategies

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