Toward a Theory of Industrial Supply Networks: A Multi-Level Perspective via Network Analysis

Zuo, Yi; Kajikawa, Yuya

doi:10.3390/e19080382

Cited by 12 publications

(9 citation statements)

References 45 publications

(121 reference statements)

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“…Third, the authors formulate a quantitative metric of entropy to measure the complexity and robustness of SNs. The results not only support a specific understanding of the structural outcomes relevant to SNs, but also deliver efficient and effective support to the management and design of SNs [ 11 ].…”

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confidence: 72%

Complex Systems and Fractional Dynamics

Lopes

Machado

2018

Entropy

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Complex systems (CS) are pervasive in many areas of science and technology, namely in financial markets, transportation, telecommunication and social networks, world and country economies, immunological systems, living organisms, computational systems, and electrical and mechanical structures. CS are often composed of a large number of interconnected and interacting entities, exhibiting a much richer global scale dynamics than their individual parts.This Special Issue focuses on original and new research results on CS and fractional dynamics. It comprises 12 selected manuscripts that address novel issues, as well as specific topics illustrating the broad impact of entropy and information theory-based techniques in complexity, nonlinearity, and fractionality. In the following, the manuscripts are presented in alphabetical order.In the paper "Analytical Approximate Solutions of (n + 1)-Dimensional Fractal Heat-Like and Wave-Like Equations", Omer Acan, Dumitru Baleanu, Maysaa Mohamed Al Qurashi, and Mehmet Giyas Sakar propose a new type of (n + 1)-dimensional reduced differential transform method (RDTM) based on a local fractional derivative (LFD) to solve (n + 1)-dimensional local fractional partial differential equations (PDEs) in Cantor sets. Firstly, the authors introduce the theoretical concepts. Afterwards, they apply the method to the (n + 1)-dimensional fractal heat-like equations (HLEs) and wave-like equations (WLEs). The authors conclude that the new technique is efficient and easy to apply [1].The paper "A Novel Numerical Approach for a Nonlinear Fractional Dynamical Model of Interpersonal and Romantic Relationships", by Jagdev Singh, Devendra Kumar, Maysaa Al Qurashi, and Dumitru Baleanu, proposes the q-homotopy analysis Sumudu transform method (q-HASTM) to obtain the approximate solution for the nonlinear fractional dynamical model of interpersonal and romantic relationships. The results obtained by employing the proposed scheme reveal good accuracy, effectiveness, flexibility, and simplicity [2].In the paper "Fractional Derivative Phenomenology of Percolative Phonon-Assisted Hopping in Two-Dimensional Disordered Systems", by Renat Sibatov, Vadim Shulezhko, and Vyacheslav Svetukhin, the anomalous advection-diffusion in two-dimensional semiconductor systems with coexisting energetic and structural disorder is described in the framework of a generalized model of multiple trapping on a comb-like structure. To validate the model, the authors compare the analytical solutions with the results of a Monte Carlo simulation of phonon-assisted tunneling in two-dimensional patterns of a porous nanoparticle agglomerate and a phase-separated bulk heterojunction. The variations of the anomalous advection-diffusion parameters as functions of the electric field intensity as well as levels of energetic and structural disorder are also presented [3].In

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mentioning

confidence: 72%

Complex Systems and Fractional Dynamics

Lopes

Machado

2018

Entropy

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“…The degree distribution measures the connectivity of nodes in the network, the average shortest path refers to the average of the shortest path lengths between any two nodes in the network, and the clustering coefficient indicates the degree of node aggregation. Some studies have shown that the supply chain network would be efficient, if the average path length is short and the clustering coefficient is high [17]. In addition, the agricultural supply chain was taken as an example to analyze the practical significance of network topology optimization.…”

Section: Simulation and Network Evaluationmentioning

confidence: 99%

Optimization of the Trust Propagation on Supply Chain Network Based on Blockchain Plus

Chen¹,

Shan²

2022

JIMD

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The decentralization of blockchain technology greatly improves the trust relationship in the supply chain network. In view of the lack of trust, uncertainty, and asymmetry in the supply chain network, this paper integrates the blockchain technology to build a network dynamics model of trust representation, calculation, and propagation, and explores how the blockchain influences the supply chain network. The result indicates that the network scale increased by 115.89%, the network connectivity increased by 60.31%, and the average shortest path decreased by 4.95%, after the blockchain trust framework had been deployed in the agricultural supply chain. Meanwhile, the network topology performance such as degree distribution and average clustering coefficient were optimized to varying degrees. Taking agricultural supply chain as an example, the practical significance of topological change was explained. Overall, the blockchain trust mechanism improves the topology of the supply chain network by affecting the trust relationship between nodes.

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“…Furthermore, due to the importance of industrial supply networks in our society, it is also very interesting to study these complex systems using techniques from complex network analysis. In this sense, the most relevant works can be found in [38][39][40].…”

Section: Applications Of Complex Network Analysismentioning

confidence: 99%

Study of the Structural and Robustness Characteristics of Madrid Metro Network

Bernal

Rey

2019

Sustainability

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A transportation service must be sustainable, respectful of the environment, and socially and economically responsible. These requirements make metro networks the ideal candidate as the most efficient mean of transport in our society. Now, a correct management of this type of infrastructures entails the analysis of the structure and robustness of these networks. This allows us to detect malfunctions and, above all, to design in the most appropriate way the expansion of subway networks. This is one of the major challenges facing the study of transport networks in sustainable smart cities. In this sense, the complex network analysis provides us with the necessary scientific tools to perform both quantitative and qualitative analysis of metro networks. This work deals with Madrid metro network, which is the largest in Spain. The main structural and topological characteristics, and robustness features of Madrid metro network were studied. The results obtained were analyzed and some conclusions were derived.

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Toward a Theory of Industrial Supply Networks: A Multi-Level Perspective via Network Analysis

Cited by 12 publications

References 45 publications

Complex Systems and Fractional Dynamics

Complex Systems and Fractional Dynamics

Optimization of the Trust Propagation on Supply Chain Network Based on Blockchain Plus

Study of the Structural and Robustness Characteristics of Madrid Metro Network

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