A framework for assessing project vulnerability to crises

2019 ◽  
Vol 12 (4) ◽  
pp. 1079-1096 ◽  
Author(s):  
Aimin Wang

Purpose The purpose of this paper is to propose a framework for assessing the vulnerability of projects to crises. The study seeks to clarify the cascade effects of disruptions leading to project crises and to improve project robustness against crises from a systems perspective. Design/methodology/approach A framework for assessing project vulnerability to crises is developed using complex network theory. The framework includes network representation of project systems, analyzing project network topology, simulating the cascade of unexpected disruptions and assessing project vulnerability. Use of the framework is then illustrated by applying it to a case study of a construction project. Findings Project network topology plays a critical role in resisting crises. By increasing the resilience of the critical tasks and adjusting the structure of a project, the complexity and vulnerability of the project can be reduced, which in turn decreases the occurrence of crises. Research limitations/implications The proposed framework is used in a case study. Further studies of its application to projects in diverse industries would be beneficial to enhance the robustness of the results. Practical implications Project crises can threaten the survival of a project and endanger the organization’s security. The proposed framework helps prevent and mitigate project crises by protecting critical tasks and blocking the diffusion path from a systems perspective. Originality/value This paper presents a novel framework based on complex network theory to assess project vulnerability, which provides a systemic understanding of the cascade of disruptions that lead to project crises.

2011 ◽  
Vol 145 ◽  
pp. 224-228 ◽  
Author(s):  
Xiao Song ◽  
Bing Cheng Liu ◽  
Guang Hong Gong

Military SoS increasingly shows its relation of complex network. According to complex network theory, we construct a SoS network topology model for network warfare simulation. Analyzing statistical parameters of the model, it is concluded that the topology model has small-world, high-aggregation and scale-free properties. Based on this model we mainly simulate and analyze vulnerability of the network. And this provides basis for analysis of the robustness and vulnerability of real battle SoS network.


2016 ◽  
Vol 101 ◽  
pp. 345-351 ◽  
Author(s):  
Alberto Fichera ◽  
Mattia Frasca ◽  
Valentina Palermo ◽  
Rosaria Volpe

2020 ◽  
Vol 2 (1) ◽  
pp. 35-52
Author(s):  
Huiru Zhang ◽  
Limin Jia ◽  
Li Wang ◽  
Yong Qin

Purpose Based on complex network theory, a method for critical elements identification of China Railway High-speed 2 (CRH2) train system is introduced in this paper. Design/methodology/approach First, two methods, reliability theory and complex theory, are introduced, and the advantages and disadvantages for their application in identifying critical elements of high-speed train system are summarized. Second, a multi-layer multi-granularity network model including virtual and actual nodes is proposed, and the corresponding fusion rules for the same nodes in different layers are given. Findings Finally, taking CRH2 train system as an example, the critical elements are identified by using complex network theory, which provides a reference for train operation and maintenance. Originality/value A method of identifying key elements of CRH2 train system based on integrated importance indices is introduced, which is a meaningful extension of the application of complex network theory to identify key components.


Author(s):  
Till Becker ◽  
Mirja Meyer ◽  
Katja Windt

Purpose – The topology of manufacturing systems is specified during the design phase and can afterwards only be adjusted at high expense. The purpose of this paper is to exploit the availability of large-scale data sets in manufacturing by applying measures from complex network theory and from classical performance evaluation to investigate the relation between structure and performance. Design/methodology/approach – The paper develops a manufacturing system network model that is composed of measures from complex network theory. The analysis is based on six company data sets containing up to half a million operation records. The paper uses the network model as a straightforward approach to assess the manufacturing systems and to evaluate the impact of topological measures on fundamental performance figures, e.g., work in process or lateness. Findings – The paper able to show that the manufacturing systems network model is a low-effort approach to quickly assess a manufacturing system. Additionally, the paper demonstrates that manufacturing networks display distinct, non-random network characteristics on a network-wide scale and that the relations between topological and performance key figures are non-linear. Research limitations/implications – The sample consists of six data sets from Germany-based manufacturing companies. As the model is universal, it can easily be applied to further data sets from any industry. Practical implications – The model can be utilized to quickly analyze large data sets without employing classical methods (e.g. simulation studies) which require time-intensive modeling and execution. Originality/value – This paper explores for the first time the application of network figures in manufacturing systems in relation to performance figures by using real data from manufacturing companies.


2018 ◽  
Vol 232 ◽  
pp. 01034
Author(s):  
Shaopei Chen ◽  
Dachang Zhuang ◽  
Huixia Zhang

As urban metro network is generally referred as a significant component of the modem urban transport system, the spatiotemporal evolution of spatial layout and topology structure of the network should be investigated and evaluated in order to promote urban transport services and optimize urban spatial pattern. This paper takes a case study of the city of Guangzhou, China, and applies the complex network theory and integrates geography information system (GIS) to explore and discuss the growth and topological structure characteristics of the Guangzhou metro network. Importantly, this paper focuses on accessing the formation process of the topology structure of the Guangzhou metro network from 1997 to 2016 on the basis of spatio-temporal sequence data analysis. This aims to provide scientific references for the future development and planning of urban metro network in China.


Sign in / Sign up

Export Citation Format

Share Document