Ran Sun
8 Papers
Ran Sun is an academic researcher. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 1, co-authored 2 publications.
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Papers
Bivariate integer-autoregressive process with an application to mutual fund flows
TL;DR: In this article, the authors proposed a new family of bivariate nonnegative integer-autoregressive (BINAR) models for count process data, which allows for intuitive interpretation, as well as tractable aggregation and stationarity properties.
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Research on the Risk-Inducing Factors of Prefabricated Building Design Change Based on Improved DEMATEL-ISM
Ran Sun,Xiao Wei Geng,Yingchen Wang,Ruifang Guo +3 more
TL;DR: The risk-inducing factors of prefab building design change are identified and analyzed based on improved DEMATEL-ISM model. Poor organizational ability, design errors, time lag, immature component splitting, low standardization, and low technical level are the key factors.
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Research on Cooperative Evolutionary Game of Design and Construction Consortium of Green Building Project under Design Change
Yingchen Wang,Lingxue Lv,Xiaoxiao Geng,L. Ren,Ran Sun +4 more
TL;DR: In this article , a three-party evolutionary game model, based on evolutionary game theory, comprising the developer unit, design unit, and construction unit, is constructed, and strategies for ensuring evolutionary stability under different design modalities are discussed.
Evolutionary Game Research on Green Construction Considering Consumers’ Preference under Government Supervision
Xiaoxiao Geng,Lingxue Lv,Yingchen Wang,Ran Sun,Xiangmei Wang +4 more
TL;DR: In this article , an evolutionary game model of developers, general contractors, and the government was constructed to study the free-riders behavior in the construction industry and the influence of relevant parameters on the evolution path of the game model.
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Analysis of Key Risks in Fresh Products Supply Chain Logistics Based on the N-K/SNA Model
Yingchen Wang,Xiangmei Wang,Xiaoxiao Geng,Lingxue Lv,Ran Sun +4 more
TL;DR: Wang et al. as discussed by the authors sort out the direct and indirect risk factors and their relationship, identifies related risk factors using the cause and effect feedback chart, and constructs a risk factor analysis model by combining the coupling value of the N-K model, the 1-mode network block model of the social network analysis (SNA) model, and the centrality analysis of the 2mode network, and comprehensively studies the key risk factors for fresh product supply chain logistics.
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