scholarly journals Research on Self-Organization in Resilient Recovery of Cluster Supply Chains

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Liang Geng ◽  
Renbin Xiao ◽  
Shanshan Xie

An effective way to deal with high-risk and low-probability disruptions is to create a resilient cluster supply chain, in which the study of resilience lies in its recovery mechanism when failures occur. First, the paper describes the representation method of cluster supply chain resilience. Second, a cluster supply chain network structure generation model is proposed. And based on cascading effect model, it makes analysis of dynamic evolution process when cluster supply chain failure happens. Then it focuses on the self-organization characteristic, which contributes to cluster supply chain emergence overall resilient recovery through local self-organization reconstruction behavior. We also make theoretical analysis of cluster supply chain network characteristics and its effect on the resilience, which helps to illustrate that the root of vulnerability lies in cascading failure while self-organization is the key to resilient recovery. Besides, with the study of self-organization characteristic, it provides theoretical guidance for local control and further achievement of overall resilient optimization.

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Liang Geng ◽  
Renbin Xiao ◽  
Xing Xu

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.


2013 ◽  
Vol 694-697 ◽  
pp. 3575-3578
Author(s):  
Wei Ge ◽  
Xiao Hong Qin

Failure of supply is typical phenomenon of cascading effect in complex supply chain network, in order to ensure the safe operation of supply chain network we should strengthen the management and protection important nodes. Based on this, the paper has proposed a evaluation methods of node importance to measure the size of the largest connected sub-graph node failure caused devastating consequences in complex supply chain network, and by example to verify the effectiveness and practicality of the evaluation methods.


2012 ◽  
Vol 28 (5) ◽  
pp. 921 ◽  
Author(s):  
Stavros T. Ponis ◽  
Epaminondas Koronis

The objective of this paper is to conceptualize Supply Chain Resilience (SCRes) and identify which supply chain capabilities can support the containment of disruptions and how these capabilities affect SCRes. Through a systematic and structured review of literature, this paper provides insights into the conceptualization and research methodological background of the SCM field. A total of one hundred and thirty four carefully selected refereed journal articles were systematically analyzed leading to the introduction of a novel definition for SCRes, which the authors view as the as the ability to proactively plan and design the Supply Chain network for anticipating unexpected disruptive (negative) events, respond adaptively to disruptions while maintaining control over structure and function and transcending to a post-event robust state of operations, if possible, more favorable than the one prior to the event, thus gaining competitive advantage. Finally, a critical examination of existing conceptual frameworks for understanding the relationships between the SCRes concept and its identified formative elements, is taking place.


2020 ◽  
Vol 223 ◽  
pp. 107529 ◽  
Author(s):  
Yuhong Li ◽  
Christopher W. Zobel ◽  
Onur Seref ◽  
Dean Chatfield

2021 ◽  
Author(s):  
Joachim Lindquist ◽  
Henning de Haas

This book focusses on the concept of supply chain disruptions and how supply chain resilience can contribute to both preparing for and reacting to the event causing disruption. For building a digital twin of a supply chain, a software named Supply Chain Guru has been used. The software is a supply chain design tool which can be used for different kinds of supply chain network optimisation. The book outlines four scenarios: Covid-19 lockdown, Brexit without deal, Conflagration at a dairy and Political regulations on transport. The scenarios all contain a problem that needs to be solved. This problem is considered as the main disruption for the supply chain. Running the scenario in Supply Chain Guru, constraints are added to the AS-IS model. The constraints are identified as implications of the event in the scenarios. By adding the constraints and running the model, Supply Chain Guru identifies suggestions to solve the problems which were described. The solutions within the scenarios are held up against the theory of supply chain resilience, to describe how the scenario planning can be used to enhance supply chain resilience. Finally, the book discuss how scenario planning can be related to supply chain resilience as well as how scenario planning can be used to increase supply chain resilience.


Author(s):  
Araceli Zavala ◽  
David Nowicki ◽  
Jose Emmanuel Ramirez-Marquez

The growth of global supply chains has allowed trading partners to experience synergistic, economic expansion and increase their competitive success. At the same time, reliance on global supply chains exposes its trading partners to unforeseen disruptions. While the economic benefits are tremendous, they are not without risk as global supply chains are by their very nature susceptible to a wide array of disruptions. Methods that mitigate the effect of disruption directly contribute to the competitive success of global supply chain networks. One approach for mitigating the effects of disruption is to increase resilience. Thus, this research focuses on understanding supply chain vulnerability and how to return the supply chain to its desirable performance level after a disruptive event by reconfiguring the supply chain network. This article frames this foundational work in the context of systems theory to add to the body of resilience research by providing a time-dependent definition of supply chain resilience. This article then provides a mathematical model, based on inventory theory that operationalizes that definition. The model is presented in the context of a multi-echelon, post-production support network of a sustainment-dominated system such as those found in the aerospace, defense, utilities, and construction industries. The model demonstrates the post-disruption resilience at each supply chain network node along with the investment necessary to restore the network.


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