scholarly journals Research on MAS-Based Supply Chain Resilience and Its Self-Organized Criticality

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Liang Geng ◽  
Renbin Xiao ◽  
Xing Xu
Keyword(s):  
Supply Chain ◽  
Fitness Function ◽  
The Self ◽  
Self Organization ◽  
Neighborhood Structure ◽  
Supply Chain System ◽  
Supply Chain Resilience ◽  
Self Organized ◽  
Agglomeration Effect ◽  
Self Organized Criticality

Building resilient supply chain is an effective way to deal with uncertain risks. First, by analyzing the self-organization of supply chain, the supply chain resilience is described as a macroscopic property that generates from self-organizing behavior of each enterprise on the microlevel. Second, a MAS-based supply chain resilience model is established and its local fitness function, neighborhood structure, and interaction rules that are applicable to supply chain system are designed through viewing the enterprise as an agent. Finally, with the help of a case, we find that there is an agglomeration effect and a SOC characteristic in supply chain and the evolution of supply chain is controlled by parameters of MAS. Managers can control the supply chain within the resilient range and choose a good balance between interest and risk by controlling enterprises’ behavior.

scholarly journals Transition from Self-Organized Criticality into Self-Organization during Sliding Si3N4 Balls against Nanocrystalline Diamond Films

Entropy ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. 1055
Author(s):  
Bogatov ◽  
Podgursky ◽  
Vagiström ◽  
Yashin ◽  
Shaikh ◽  
...  
Keyword(s):  
Friction Force ◽  
Power Law ◽  
Early Stage ◽  
Nanocrystalline Diamond ◽  
The Self ◽  
Self Organization ◽  
Power Law Distribution ◽  
Reciprocating Sliding ◽  
Self Organized ◽  
Self Organized Criticality

The paper investigates the variation of friction force (Fx) during reciprocating sliding tests on nanocrystalline diamond (NCD) films. The analysis of the friction behavior during the run-in period is the focus of the study. The NCD films were grown using microwave plasma-enhanced chemical vapor deposition (MW-PECVD) on single-crystalline diamond SCD(110) substrates. Reciprocating sliding tests were conducted under 500 and 2000 g of normal load using Si3N4 balls as a counter body. The friction force permanently varies during the test, namely Fx value can locally increase or decrease in each cycle of sliding. The distribution of friction force drops (dFx) was extracted from the experimental data using a specially developed program. The analysis revealed a power-law distribution f-µ of dFx for the early stage of the run-in with the exponent value (µ) in the range from 0.6 to 2.9. In addition, the frequency power spectrum of Fx time series follows power-law distribution f-α with α value in the range of 1.0–2.0, with the highest values (1.6–2.0) for the initial stage of the run-in. No power-law distribution of dFx was found for the later stage of the run-in and the steady-state periods of sliding with the exception for periods where a relatively extended decrease of coefficient of friction (COF) was observed. The asperity interlocking leads to the stick-slip like sliding at the early stage of the run-in. This tribological behavior can be related to the self-organized criticality (SOC). The emergence of dissipative structures at the later stages of the run-in, namely the formation of ripples, carbonaceous tribolayer, etc., can be associated with the self-organization (SO).

A Supply Chain Collaboration Model Based on System Dynamics

2012 ◽  
Vol 490-495 ◽  
pp. 1997-2001 ◽  
Author(s):  
Wei Peng Wang
Keyword(s):  
Supply Chain ◽  
System Dynamics ◽  
Critical Region ◽  
Evolutionary Model ◽  
The Self ◽  
Self Organization ◽  
Supply Chain Collaboration ◽  
System Parameters ◽  
Self Organized ◽  
Random Fluctuations

This paper used the tool of system dynamics to build an evolutionary model of self-organization for the supply chain collaboration. By solving and the analysis of applications, we know that the two order parameters of supply chain collaboration and profitability determine the self-organized evolution of the system. If the supply chain collaboration has not reached the critical region, the deviation caused by random fluctuations will continue to decay until it disappears, and finally return to the original state. When the system parameters meet to the conditions of non-stability, random fluctuations will lead to the changes of the orderly structure of the system. The model reveals the evolutionary processes and nature of supply chain collaboration, and provides a basis for the development of the supply chain enterprises

Problem behavior in autism spectrum disorders: A paradigmatic self-organized perspective of network structures

2019 ◽  
Vol 42 ◽  
Author(s):  
Lucio Tonello ◽  
Luca Giacobbi ◽  
Alberto Pettenon ◽  
Alessandro Scuotto ◽  
Massimo Cocchi ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Problem Behaviors ◽  
Autism Spectrum ◽  
The Self ◽  
Network Structures ◽  
Self Organized ◽  
Critical Equilibrium ◽  
Self Organized Criticality ◽  
Acute Agitation ◽  
Spectrum Disorders

AbstractAutism spectrum disorder (ASD) subjects can present temporary behaviors of acute agitation and aggressiveness, named problem behaviors. They have been shown to be consistent with the self-organized criticality (SOC), a model wherein occasionally occurring “catastrophic events” are necessary in order to maintain a self-organized “critical equilibrium.” The SOC can represent the psychopathology network structures and additionally suggests that they can be considered as self-organized systems.

scholarly journals Self-Organized Criticality on Twitter: Phenomenological Theory and Empirical Investigation Based on Data Analysis Results

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Andrey Dmitriev ◽  
Victor Dmitriev ◽  
Stepan Balybin
Keyword(s):  
Time Series ◽  
Critical State ◽  
Empirical Investigation ◽  
Phenomenological Theory ◽  
Self Organization ◽  
Protest Movements ◽  
Self Organized ◽  
Self Organized Criticality ◽  
Stochastic Sources ◽  
Adiabatic Mode

Recently, there has been an increasing number of empirical evidence supporting the hypothesis that spread of avalanches of microposts on social networks, such as Twitter, is associated with some sociopolitical events. Typical examples of such events are political elections and protest movements. Inspired by this phenomenon, we built a phenomenological model that describes Twitter’s self-organization in a critical state. An external manifestation of this condition is the spread of avalanches of microposts on the network. The model is based on a fractional three-parameter self-organization scheme with stochastic sources. It is shown that the adiabatic mode of self-organization in a critical state is determined by the intensive coordinated action of a relatively small number of network users. To identify the critical states of the network and to verify the model, we have proposed a spectrum of three scaling indicators of the observed time series of microposts.

scholarly journals Topology assisted self-organization of colloidal nanoparticles: application to 2D large-scale nanomastering

2014 ◽  
Vol 5 ◽  
pp. 1203-1209 ◽  
Author(s):  
Hind Kadiri ◽  
Serguei Kostcheev ◽  
Daniel Turover ◽  
Rafael Salas-Montiel ◽  
Komla Nomenyo ◽  
...  
Keyword(s):  
Large Scale ◽  
The Self ◽  
Surface Topology ◽  
Self Organization ◽  
Hydrogen Silsesquioxane ◽  
Polystyrene Beads ◽  
Structure Topology ◽  
Self Organized ◽  
Novel Method ◽  
Long Range Ordering

Our aim was to elaborate a novel method for fully controllable large-scale nanopatterning. We investigated the influence of the surface topology, i.e., a pre-pattern of hydrogen silsesquioxane (HSQ) posts, on the self-organization of polystyrene beads (PS) dispersed over a large surface. Depending on the post size and spacing, long-range ordering of self-organized polystyrene beads is observed wherein guide posts were used leading to single crystal structure. Topology assisted self-organization has proved to be one of the solutions to obtain large-scale ordering. Besides post size and spacing, the colloidal concentration and the nature of solvent were found to have a significant effect on the self-organization of the PS beads. Scanning electron microscope and associated Fourier transform analysis were used to characterize the morphology of the ordered surfaces. Finally, the production of silicon molds is demonstrated by using the beads as a template for dry etching.

Self-Organization and Trade Union Democracy

2000 ◽  
Vol 48 (2) ◽  
pp. 262-282 ◽  
Author(s):  
Jill C. Humphrey
Keyword(s):  
Trade Union ◽  
The Self ◽  
Self Organization ◽  
Public Sector Union ◽  
Self Organized ◽  
Union Democracy ◽  
Democratic Polity ◽  
Late Twentieth ◽  
Three Stages ◽  
Late Twentieth Century

This article is an offshoot of a three year study into the self-organized groups for women, black members, disabled members and lesbians and gay men which have been enshrined in the constitution of the UK's public sector union UNISON. The argument is that self-organization has become a significant axis around which trade union democracy is being reconstituted in the late twentieth century. However, our understanding of this phenomenon has been obscured by the ascendancy of mainstream union perspectives over self-organized perspectives, which has unfortunately been compounded by academic researchers. A re-conceptualization of self-organization proceeds in three stages. First, it is contextualized politically and theoretically in terms of trade union histories, new social movements and models of a diversified democratic polity. Second, it is re-signified by attending to its actual unfolding over the past two decades and the self-understandings of its activists. Third, is problematized with reference to exogenous pressures towards bureaucracy and oligarchy, and endogenous pressures towards essentialisms and exclusions.

scholarly journals Resilience Design of Healthcare Resources Supply Network Based on Self-Organized Criticality

Healthcare ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 245
Author(s):  
Liang Geng ◽  
Renbin Xiao ◽  
Jie Chen
Keyword(s):  
Absorptive Capacity ◽  
Structural Design ◽  
Performance Indicator ◽  
Self Organization ◽  
Supply Network ◽  
Healthcare Resources ◽  
Extremal Optimization ◽  
Self Organized ◽  
Self Organized Criticality ◽  
Micro Level

The healthcare resources supply network design for resilience is an effective way to deal with uncertainty disruption. In this article we propose a model of supply network self-organization evolution, and establish self-organized criticality as a cause of cascade failure. Our main purpose is to keep the system in a resilient range, i.e., critical state. A network structural design with smaller degree distribution exponent can achieve better absorptive capacity at macro level. An interactive rule design with extremal optimization has better adaptive capacity at micro level. Using macro statistic and indicator micro performance indicator, we demonstrate that our design can slow the development to a supercritical state and can improve the resilience of the supply network.

Influence of Resin Viscosity and Filler Volume on Self-Organized Micro Interconnection

2006 ◽  
Vol 512 ◽  
pp. 367-372 ◽  
Author(s):  
Kiyokazu Yasuda ◽  
Koushi Ohta ◽  
Kozo Fujimoto
Keyword(s):  
Dispersion Model ◽  
Volume Ratio ◽  
The Self ◽  
Self Organization ◽  
The Novel ◽  
Self Organized ◽  
Assembly Method ◽  
Real Process ◽  
Optimal Value ◽  
Filler Dispersion

The novel selective interconnection using the resin containing low-melting-point-alloy fillers was developed as a high density assembly method of a low-temperature and highly reliable electronic interconnection. By means of the coalescence of fillers and wetting onto the terminal material due to the Laplace pressure of the fillers, self-organization onto the terminals was formed. The influence of the filler volume ratio and resin viscosity on the self-organized interconnecting was investigated by the numerical analysis with a multi-filler dispersion model corresponding to a real process, and was evaluated by using the normalized parameter (self-organization ratio). We clarified the existence of the optimal value of the filler volume ratio. The rate controlling factor transferred from the filler volume to the inflow velocity by the increase of the viscosity.

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