The reliability measures model of multilayer urban distribution network

Zhang, Hao; Wang, Mingkun; Tang, Mengjiao; Yang, Haoxiong

doi:10.1007/s00500-017-2900-4

Cited by 10 publications

(2 citation statements)

References 17 publications

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“…e infrastructure construction process is often accompanied by the redistribution of many resource factors, such as capital, talent, and technology [22][23][24][25]. Infrastructure connectivity can promote trade and investment facilitation and reduce the cost of factor flow [26][27][28].…”

Section: Literature Reviewmentioning

confidence: 99%

Creating Sustainable Cultural Industries: The Perspective of Artificial Intelligence and Global Value Chain

Liu

Song

2022

Journal of Environmental and Public Health

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In the era of artificial intelligence (AI), cultural industries have introduced new development opportunities, and their global value chain (GVC) position is receiving more attention. This study uses panel data from global cross-borders from 56 countries (regions) as the research sample to empirically analyze the impact of AI on improving the GVC position of cultural industries using the double fixed effects regression model and examines the heterogeneity effect. The results confirm that there is a significant positive correlation between AI and the GVC position of cultural industries. The mechanism test shows that AI impacts the division of labor position in the GVC of cultural industries mainly through technological innovation and the industrial structure. Heterogeneity analysis shows that AI has a significant effect on promoting the cultural industry’s GVC position in high-income countries (regions) but it has no significant effect on low- and middle-income countries (regions). The results of this study can provide a useful reference for improving the division of labor positions in the GVC and better promoting the development of cultural industries.

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Section: Literature Reviewmentioning

confidence: 99%

Creating Sustainable Cultural Industries: The Perspective of Artificial Intelligence and Global Value Chain

Liu

Song

2022

Journal of Environmental and Public Health

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“…As the demand required by the base as well as the amount suppliable to the base during contingencies are not known by the certainty, the reliability of the base is modeled through the interference between demand and supply, which are assumed to have certain probability distribution. Once the demand is less than supply, the base is assumed to be capable to perform the assigned mission, hence it is reliable (Thomas, 2002;Thomas, 2004;Xiong et al, 2017;Zhang et al, 2018;Tubis et al, 2017;Wang et al, 2016;Zhang et al, 2016;Zhou et al, 2016;Benyoucef et al, 2013). Miman and Pohl (2008) extends Thomas' work considering stocks to be hold by the base before a contingency occurs.…”

Section: Introductionmentioning

confidence: 99%

A Java Application for Optimization of Stock Allocation in Contingency Logistics Networks: Colonor

Miman

Tuna

Deste

et al. 2019

Akademik Araştırmalar Ve Çalışmalar Dergisi (AKAD)

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Contingencies are unexpected events or crises that cause a major threat for security and safety of a particular population. Since they are unexpected events, the demand to perform contingency operations as well as the supply that can be provided for this can be modelled through probability distributions. Furthermore, before contingencies occur one may want to hold stocks beforehand. Based on interference theory between demand, supply and stocks, one can obtain a reliability of that site, i.e. probability that the site can perform the operations assigned based on the availability of resources for these operations. This study develops a software design as a java application, COLONOR, which optimizes the stock allocations, i.e. maximizes the reliability of contingency logistics networks with a given budget and total stocks to allocate. It assumes exponential demands and supplies, and the network structure is such that the sites are arranged either in series or parallel. The software can employ either genetic algorithm or total enumeration techniques to solve the resulting non-linear, non-separable and non-convex mathematical model and enables the users to specify the problem's parameters such as demand and supply rates, number of sites and network structure as well as the solution approach.

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A Bayesian network model for the reliability control of fresh food e-commerce logistics systems

et al. 2020

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The reliability measures model of multilayer urban distribution network

Cited by 10 publications

References 17 publications

Creating Sustainable Cultural Industries: The Perspective of Artificial Intelligence and Global Value Chain

Creating Sustainable Cultural Industries: The Perspective of Artificial Intelligence and Global Value Chain

A Java Application for Optimization of Stock Allocation in Contingency Logistics Networks: Colonor

A Bayesian network model for the reliability control of fresh food e-commerce logistics systems

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