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Research on location-inventory-routing optimization of emergency logistics based on multiple reliability under uncertainty SCIE
期刊论文 | 2025 , 200 | COMPUTERS & INDUSTRIAL ENGINEERING
WoS CC Cited Count: 1
Abstract&Keyword Cite Version(2)

Abstract :

Earthquakes, floods and other types of natural disasters are frequent and bring many devastating effects. The research related to emergency logistics has received much attention in recent years. In order to further improve the rescue efficiency and reduce disaster losses, a multi-objective two-stage stochastic programming model of location-inventory-routing of emergency logistics based on multiple reliability under uncertainty is addressed. The proposed model includes three types of uncertainty as demand, supply and transportation time, and two kinds of reliability as distribution center facilities and road access. It is used for integrated decision making in disaster preparedness and response stages. Factors such as material bulk procurement discount, pre-disaster budget, multiple transportation modes, capacity constraints, and disaster scenarios are considered comprehensively. Then, an algorithm was developed. A non-dominated ranking genetic algorithm (NSGA-II) is used to solve the developed model according to its characteristics. The validity of the model and algorithm is verified by conducting a case study on an earthquake in Sichuan, China, and the Pareto optimal solution set is obtained. Finally, sensitivity analysis of the parameters is performed to investigate the effect of changes in key parameters on the model solutions. Thus, some relevant management insights are provided. The results show that an appropriate increase in the pre-disaster budget can substantially reduce the response cost in the post-disaster period. In addition, increasing the number of resident helicopters within the material inventory by a certain amount can help reduce the total distribution time.

Keyword :

Location-inventory-routing Location-inventory-routing Multi-objective Optimization Multi-objective Optimization Reliability Reliability Stochastic Programming Stochastic Programming

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GB/T 7714 Zhang, Ling , Yuan, Na , Wang, Jing et al. Research on location-inventory-routing optimization of emergency logistics based on multiple reliability under uncertainty [J]. | COMPUTERS & INDUSTRIAL ENGINEERING , 2025 , 200 .
MLA Zhang, Ling et al. "Research on location-inventory-routing optimization of emergency logistics based on multiple reliability under uncertainty" . | COMPUTERS & INDUSTRIAL ENGINEERING 200 (2025) .
APA Zhang, Ling , Yuan, Na , Wang, Jing , Li, Jizhao . Research on location-inventory-routing optimization of emergency logistics based on multiple reliability under uncertainty . | COMPUTERS & INDUSTRIAL ENGINEERING , 2025 , 200 .
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Research on location-inventory-routing optimization of emergency logistics based on multiple reliability under uncertainty Scopus
期刊论文 | 2025 , 200 | Computers and Industrial Engineering
Research on location-inventory-routing optimization of emergency logistics based on multiple reliability under uncertainty EI
期刊论文 | 2025 , 200 | Computers and Industrial Engineering
基于数据驱动的应急血液供应网络配置分布式鲁棒优化方案研究
期刊论文 | 2025 , 33 (2) , 131-140 | 中国管理科学
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Abstract :

地震等突发事件发生后,需要血液等应急医疗资源对伤员进行救治,合理的血液配置是开展医疗救治工作的前提和保障.在血液供应网络配置中,不仅要提高日常供血效率,避免过量采血,还需要考虑灾后突发事件的影响,减少人员因供血不足而导致的伤亡.为了保障灾前运营成本最小化和灾后安全救援能够顺利进行,本文在考虑灾前和灾后具有两种不同血液需求特性的情况下,建立基于数据驱动的应急血液供应网络与配置的多周期分布式鲁棒优化模型.寻找过去灾害发生时需求的历史数据,将突发事件中的血液需求表示成模糊集形式,并利用python中基于数据驱动的Rsome鲁棒优化第三方库求解模型.最终通过实际案例分析,验证了该决策模式的适用性,表明所建立的模型能够为决策者在考虑突发事件的应急血液供应网络与配置过程中提供决策支持.

Keyword :

不确定需求 不确定需求 分布式鲁棒优化 分布式鲁棒优化 应急医疗资源 应急医疗资源 血液供应网络 血液供应网络

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GB/T 7714 张玲 , 李锦棚 , 陈圣群 . 基于数据驱动的应急血液供应网络配置分布式鲁棒优化方案研究 [J]. | 中国管理科学 , 2025 , 33 (2) : 131-140 .
MLA 张玲 et al. "基于数据驱动的应急血液供应网络配置分布式鲁棒优化方案研究" . | 中国管理科学 33 . 2 (2025) : 131-140 .
APA 张玲 , 李锦棚 , 陈圣群 . 基于数据驱动的应急血液供应网络配置分布式鲁棒优化方案研究 . | 中国管理科学 , 2025 , 33 (2) , 131-140 .
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基于剥夺成本的应急疏散与物资调配问题研究 CSCD CSSCI PKU
期刊论文 | 2024 , 32 (05) , 187-195 | 中国管理科学
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Abstract :

大规模灾害救援初期,应急物资供应不及时和分配不均的状况会使灾民产生一定的负面心理情绪,影响灾后救援效率。针对该问题,本文构造绝对剥夺成本函数和相对剥夺成本函数衡量灾民的负面心理情绪,并利用总剥夺成本表征应急物资调配的公平性,以救援总成本最小为决策目标,构建兼顾效率和公平的灾民应急疏散、临时避难所选址和应急物资调配的集成优化模型,并设计一种分阶段解码的遗传算法进行求解。最后,以易受台风侵袭的广东省东莞市与汕尾市的19个城镇作为受灾点进行算例分析,验证了模型与算法的有效性和可行性,以期为灾后应急救援提供有益参考。

Keyword :

剥夺成本 剥夺成本 应急物资调配 应急物资调配 应急疏散 应急疏散 遗传算法 遗传算法 集成优化 集成优化

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GB/T 7714 张玲 , 高鹏飞 , 张琳 . 基于剥夺成本的应急疏散与物资调配问题研究 [J]. | 中国管理科学 , 2024 , 32 (05) : 187-195 .
MLA 张玲 et al. "基于剥夺成本的应急疏散与物资调配问题研究" . | 中国管理科学 32 . 05 (2024) : 187-195 .
APA 张玲 , 高鹏飞 , 张琳 . 基于剥夺成本的应急疏散与物资调配问题研究 . | 中国管理科学 , 2024 , 32 (05) , 187-195 .
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基于剥夺成本的应急疏散与物资调配问题研究 CSCD CSSCI PKU
期刊论文 | 2024 , 32 (5) , 187-195 | 中国管理科学
How Does Industrial Agglomeration Affect Total Factor Energy Efficiency in China? Perspectives on the Collision of Digital and Green Scopus
期刊论文 | 2024 , 113 , 61-66 | Chemical Engineering Transactions
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Abstract :

Industrial agglomeration is an important way to affect total factor energy efficiency (TFEE), and digitalization level (DL) and green technology innovation (GTI) can help improve the effect of industrial agglomeration. This research examines the impact of specialized industrial agglomeration (SIA) and diversified industrial agglomeration (DIA), the two main forms of industrial agglomeration, on TFEE under the mediating role of GTI and the moderating role of DL. Three main results were obtained based on the China's provincial data from 2010 to 2021. (1) Both SIA and DIA can significantly promote TFEE, but their effects are different. (2) GTI plays a mediating role in the positive promotion effect of DIA and SIA on TFEE. In addition, GTI not only has obvious inertial effects in time, but also has significant spillover effects in space. (3) DL not only strengthens the impact of SIA or DIA on TFEE, but also enhances the impact of SIA or DIA on GTI. The results show that DL and GTI are effective ways for industrial agglomeration to build a sustainable economy. The article finally puts forward policy recommendations, emphasizing accelerating digital transformation, strengthening industrial agglomeration planning, promoting green technology innovation, and adopting a multi-path development model. Copyright © 2024, AIDIC Servizi S.r.l.

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GB/T 7714 Shen, N. , Zhang, L. . How Does Industrial Agglomeration Affect Total Factor Energy Efficiency in China? Perspectives on the Collision of Digital and Green [J]. | Chemical Engineering Transactions , 2024 , 113 : 61-66 .
MLA Shen, N. et al. "How Does Industrial Agglomeration Affect Total Factor Energy Efficiency in China? Perspectives on the Collision of Digital and Green" . | Chemical Engineering Transactions 113 (2024) : 61-66 .
APA Shen, N. , Zhang, L. . How Does Industrial Agglomeration Affect Total Factor Energy Efficiency in China? Perspectives on the Collision of Digital and Green . | Chemical Engineering Transactions , 2024 , 113 , 61-66 .
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环境规制对碳交易价格波动的影响分析 PKU
期刊论文 | 2023 , (1) , 1-7 | 价格月刊
Abstract&Keyword Cite Version(2)

Abstract :

环境规制对绿色生产具有重要的积极意义,区域环境规制水平与碳交易价格波动之间存在密不可分的关系.以国内4个碳交易试点为研究对象,选取了 2013-2020年不同区域环境规制的相关指标和碳交易价格数据进行实证分析,深入探讨环境规制对碳交易价格波动的作用机制.同时采用滞后一期的方法解决内生性问题可能会对分析结果带来的影响.研究发现:环境规制水平对碳交易价格具有抑制作用,地理距离的变化会改善环境规制水平对碳交易价格的抑制效应.

Keyword :

环境规制 环境规制 碳交易价格 碳交易价格 绿色生产 绿色生产

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GB/T 7714 张玲 , 曹峰 . 环境规制对碳交易价格波动的影响分析 [J]. | 价格月刊 , 2023 , (1) : 1-7 .
MLA 张玲 et al. "环境规制对碳交易价格波动的影响分析" . | 价格月刊 1 (2023) : 1-7 .
APA 张玲 , 曹峰 . 环境规制对碳交易价格波动的影响分析 . | 价格月刊 , 2023 , (1) , 1-7 .
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环境规制对碳交易价格波动的影响分析 PKU
期刊论文 | 2023 , 7 (01) , 1-7 | 价格月刊
环境规制对碳交易价格波动的影响分析 PKU
期刊论文 | 2023 , 7 (01) , 1-7 | 价格月刊
基于道路可靠性的应急救灾选址-路径随机优化问题研究 CSCD PKU
期刊论文 | 2023 , 43 (10) , 2480-2502 | 系统科学与数学
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Abstract :

灾后应急物资的分配与调度是救援工作开展的关键任务.为保障灾后物资配送活动的顺利进行,对应急配送中心的选址-路径问题展开研究,构建一个物资储备库-应急配送中心-需求点的多级配送网络.在考虑灾区道路可靠性状况的条件下,综合考虑供给物资有限、物资分配的公平性、需求的不确定性等因素,以应急物资总配送时间最小化、系统总成本最小化以及车辆行驶路线的总连通可靠性最大化三者为目标函数,采用随机机会约束规划方法,建立了一个震后应急物资配送的多目标选址-路径问题优化模型.考虑到问题的复杂性,文章利用基于蒙特卡洛仿真模拟的非支配排序遗传算法对所提出的问题进行求解.通过测试算例,证实了文章所提出的模型和算法能有效求解灾后应急配送中心多目标选址-路径优化问题,为决策者选择适合的方案提供一定参考.

Keyword :

多目标优化 多目标优化 应急物流 应急物流 机会约束 机会约束 选址-路径 选址-路径 道路状况可靠性 道路状况可靠性

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GB/T 7714 张玲 , 李继昭 . 基于道路可靠性的应急救灾选址-路径随机优化问题研究 [J]. | 系统科学与数学 , 2023 , 43 (10) : 2480-2502 .
MLA 张玲 et al. "基于道路可靠性的应急救灾选址-路径随机优化问题研究" . | 系统科学与数学 43 . 10 (2023) : 2480-2502 .
APA 张玲 , 李继昭 . 基于道路可靠性的应急救灾选址-路径随机优化问题研究 . | 系统科学与数学 , 2023 , 43 (10) , 2480-2502 .
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基于道路可靠性的应急救灾选址-路径随机优化问题研究 CSCD PKU
期刊论文 | 2023 , 43 (10) , 2480-2502 | 系统科学与数学
Research on the Evolutionary Game Model of Railway Cold Chain Logistics between Cargo Owners and Transport Enterprises Scopus
期刊论文 | 2023 , 2023 | Mathematical Problems in Engineering
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The transportation mode of the railway cold chain has an essential impact on operational efficiency and cost. Under the uncertainty of demand and limited transportation capacity, an evolutionary game model of railway cold chain logistics is constructed to explain and analyze the dynamic decision-making processes and mechanisms between cargo owners and railway transport enterprises. The results show that the evolutionary path and convergence speed of the model are influenced by the initial value and its allocation coefficient, cargo volume, additional benefit, and default cost. By using Matlab, numerical simulation is conducted to verify the theoretical assumptions and results. The conclusion provides a basis for studying and managing railway cold chain logistics. © 2023 Ling Zhang et al.

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GB/T 7714 Zhang, L. , Cao, F. , Wu, Y. . Research on the Evolutionary Game Model of Railway Cold Chain Logistics between Cargo Owners and Transport Enterprises [J]. | Mathematical Problems in Engineering , 2023 , 2023 .
MLA Zhang, L. et al. "Research on the Evolutionary Game Model of Railway Cold Chain Logistics between Cargo Owners and Transport Enterprises" . | Mathematical Problems in Engineering 2023 (2023) .
APA Zhang, L. , Cao, F. , Wu, Y. . Research on the Evolutionary Game Model of Railway Cold Chain Logistics between Cargo Owners and Transport Enterprises . | Mathematical Problems in Engineering , 2023 , 2023 .
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Research on the Evolutionary Game Model of Railway Cold Chain Logistics between Cargo Owners and Transport Enterprises EI
期刊论文 | 2023 , 2023 | Mathematical Problems in Engineering
Challenging the nexus of power: The gaming dilemma of collaboration between government and enterprises in environmental management SCIE
期刊论文 | 2023 , 10 (1) | HELIYON
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Abstract :

This study presents a novel approach to analysing environmental governance by Chinese governments through the lens of a tripartite evolutionary game model. The key novelty of our research lies in the explicit incorporation of a reputation mechanism into the evolutionary game analysis, which significantly influences government decision-making, environmental governance strategies, and the dynamics of the relationship between government and polluting enterprises. By assessing the marginal effects of conventional governance and mobilization-based governance on the environmental mechanism, as well as the collusion behaviours between government and polluting enterprises, our study sheds light on previously unexplored aspects of environmental governance. Our findings indicate that the reputation mechanism plays a crucial role within the evolutionary game system of environmental governance, exerting a substantial impact on government decision-making. Furthermore, we demonstrate that policy interventions, such as increasing the cost of penalties under regulatory policies, can encourage compliance strategies among enterprises. Additionally, our research highlights the high sensitivity of reputation signals towards local government's environmental governance strategies, directly impacting their credibility and influencing the adoption of proactive environmental governance strategies. Moreover, we emphasize the role of the central environmental inspection system as a means to facilitate the transmission of environmental governance pressures between central and local governments, ultimately fostering a green development concept and promoting coordinated development between the economy and ecological civilization. Overall, this study provides valuable insights into the intricacies of environmental governance in China and underscores the importance of reputation mechanisms and policy interventions in promoting sustainable development.

Keyword :

Environmental governance Environmental governance Evolutionary game Evolutionary game Government -enterprise collusion Government -enterprise collusion Mobilized governance Mobilized governance

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GB/T 7714 Cao, Feng , Zhang, Ling , Wu, Weiyun et al. Challenging the nexus of power: The gaming dilemma of collaboration between government and enterprises in environmental management [J]. | HELIYON , 2023 , 10 (1) .
MLA Cao, Feng et al. "Challenging the nexus of power: The gaming dilemma of collaboration between government and enterprises in environmental management" . | HELIYON 10 . 1 (2023) .
APA Cao, Feng , Zhang, Ling , Wu, Weiyun , Han, Sijia , Wu, Zhaocheng , Wu, Yihan . Challenging the nexus of power: The gaming dilemma of collaboration between government and enterprises in environmental management . | HELIYON , 2023 , 10 (1) .
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Challenging the nexus of power: The gaming dilemma of collaboration between government and enterprises in environmental management Scopus
期刊论文 | 2024 , 10 (1) | Heliyon
基于均值-CVaR的灾后临时献血点选址分布式鲁棒优化方案研究
期刊论文 | 2022 , 36 (04) , 63-71 | 福州大学学报(哲学社会科学版)
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Abstract :

地震等突发事件发生后需要血液等挽救生命的重要应急医疗资源对伤员进行救治,然而灾后对于血液的需求通常是不确定的,考虑到无法提前获取不确定性信息完整分布情况,因此在设计应急血液网络时应使其具有鲁棒性。为了保障灾后安全救援能够顺利进行,提出一种分布式鲁棒优化框架,结合使用均值-CVaR方法来有效地度量决策者的风险规避特征,建立临时献血点选址分布式鲁棒优化模型,目的是解决血液供应不足时候选地的选址问题。通过寻找过去灾害发生时需求的历史数据,将突发事件中的血液需求表示成模糊集形式,并利用python中的Rsome鲁棒优化第三方库求解模型。通过实际案例分析,验证了该决策模式的适用性,表明所建立的模型能够为...

Keyword :

不确定需求 不确定需求 分布式鲁棒优化 分布式鲁棒优化 应急医疗资源 应急医疗资源 血液供应网络 血液供应网络

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GB/T 7714 张玲 , 李锦棚 , 高妙仙 . 基于均值-CVaR的灾后临时献血点选址分布式鲁棒优化方案研究 [J]. | 福州大学学报(哲学社会科学版) , 2022 , 36 (04) : 63-71 .
MLA 张玲 et al. "基于均值-CVaR的灾后临时献血点选址分布式鲁棒优化方案研究" . | 福州大学学报(哲学社会科学版) 36 . 04 (2022) : 63-71 .
APA 张玲 , 李锦棚 , 高妙仙 . 基于均值-CVaR的灾后临时献血点选址分布式鲁棒优化方案研究 . | 福州大学学报(哲学社会科学版) , 2022 , 36 (04) , 63-71 .
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基于均值-CVaR的灾后临时献血点选址分布式鲁棒优化方案研究
期刊论文 | 2022 , 36 (4) , 63-71 | 福州大学学报(哲学社会科学版)
基于均值-CVaR的灾后临时献血点选址分布式鲁棒优化方案研究
期刊论文 | 2022 , 36 (04) , 63-71 | 福州大学学报(哲学社会科学版)
The Whistleblower's Dilemma: An Evolutionary Game Analysis of the Public Health Early Warning System SCIE
期刊论文 | 2022 , 2022 | DISCRETE DYNAMICS IN NATURE AND SOCIETY
WoS CC Cited Count: 1
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Although the ability to manage public health emergencies in China has improved signicantly, there are still many challenges to the existing information transmission mechanism in pandemic early warning systems. In this context, a tripartite evolutionary game model composed of the local government, the whistleblower, and the public is formulated. By using Matlab, the dynamic evolution path of the game model is stimulated under different conditions. Stable strategies for an early warning system for public health emergencies are also explored. e results indicate that the cost of whistleblowing, the cost of response, and the benet of attention signicantly influence strategic decisions among three parties. is study highlights the importance of whistleblowing in managing public health emergencies. Yet, our ndings provide theoretical support for policy recommendations for promoting public health emergency preparedness.

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GB/T 7714 Cao, Feng , Zhang, Ling , Wu, Yihan . The Whistleblower's Dilemma: An Evolutionary Game Analysis of the Public Health Early Warning System [J]. | DISCRETE DYNAMICS IN NATURE AND SOCIETY , 2022 , 2022 .
MLA Cao, Feng et al. "The Whistleblower's Dilemma: An Evolutionary Game Analysis of the Public Health Early Warning System" . | DISCRETE DYNAMICS IN NATURE AND SOCIETY 2022 (2022) .
APA Cao, Feng , Zhang, Ling , Wu, Yihan . The Whistleblower's Dilemma: An Evolutionary Game Analysis of the Public Health Early Warning System . | DISCRETE DYNAMICS IN NATURE AND SOCIETY , 2022 , 2022 .
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The Whistleblower's Dilemma: An Evolutionary Game Analysis of the Public Health Early Warning System SCIE
期刊论文 | 2022 , 2022 | DISCRETE DYNAMICS IN NATURE AND SOCIETY
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