Professional Risk Assessment Using Virtual Enterprise Network Support for Knowledge Bases Development

Author(s):  
George Dragoi ◽  
Anca Draghici ◽  
Sebastian Marius Rosu ◽  
Alexandru Radovici ◽  
Costel Emil Cotet
Author(s):  
George Dragoi ◽  
Anca Draghici ◽  
Sebastian Marius Rosu ◽  
Alexandru Radovici ◽  
Costel Emil Cotet

The article presents research results based on the concept of collaborative infrastructure (as the virtual enterprise network PREMINV e-platform from “Politehnica” University of Bucharest, Romania), in order to unify existing standards for supply chain management and to provide support in various decision making processes in manufacturing supply networks. The intent is to facilitate and enhance the required knowledge management processes linked with the business process management. The virtual enterprise network expects to reduce small and medium-sized enterprises involvement in networking efforts, enable better and faster decision processes and promote the development of the business services. In addition, the new product development paradigm requires software tools for risk estimation and assessment. For this purpose, the authors describe a knowledge bases method build and use for the professional risk assessment as part of risk management process. The risk level is established based on the probability and severity of its consequences.


Author(s):  
George Dragoi ◽  
Anca Draghici ◽  
Sebastian Marius Rosu ◽  
Alexandru Radovici ◽  
Costel Emil Cotet

The article presents research results based on the concept of collaborative infrastructure (as the virtual enterprise network PREMINV e-platform from “Politehnica” University of Bucharest, Romania), in order to unify existing standards for supply chain management and to provide support in various decision making processes in manufacturing supply networks. The intent is to facilitate and enhance the required knowledge management processes linked with the business process management. The virtual enterprise network expects to reduce small and medium-sized enterprises involvement in networking efforts, enable better and faster decision processes and promote the development of the business services. In addition, the new product development paradigm requires software tools for risk estimation and assessment. For this purpose, the authors describe a knowledge bases method build and use for the professional risk assessment as part of risk management process. The risk level is established based on the probability and severity of its consequences.


Author(s):  
Nikolaos A. Panayiotou ◽  
Stylianos Oikonomitsios ◽  
Christina Athanasiadou ◽  
Sotiris P. Gayialis

In today’s business environment, supply chains involve a number of autonomous organizations. Agility, effectiveness and efficiency of these supply chains can be achieved by forming virtual enterprise networks. The nature of supply chain processes with inter-organizational activities, involving different enterprises in a virtual enterprise network, increases the need for control in a well-designed and structured manner. Internal Audit activities and controls can help virtual organizations to improve and operate in a more efficient manner. This chapter proposes a methodological approach for the design of the Internal Audit function for risk assessment and control identification of inter-organizational supply chain processes, using business process modelling techniques and an internal audit–oriented enterprise modelling tool. A case study in the auditing of the supply chain processes in a virtual enterprise network demonstrates the application of the suggested methodology and tool.


2011 ◽  
pp. 888-910 ◽  
Author(s):  
Nikolaos A. Panayiotou ◽  
Stylianos Oikonomitsios ◽  
Christina Athanasiadou ◽  
Sotiris P. Gayialis

In today’s business environment, supply chains involve a number of autonomous organizations. Agility, effectiveness and efficiency of these supply chains can be achieved by forming virtual enterprise networks. The nature of supply chain processes with inter-organizational activities, involving different enterprises in a virtual enterprise network, increases the need for control in a well-designed and structured manner. Internal Audit activities and controls can help virtual organizations to improve and operate in a more efficient manner. This chapter proposes a methodological approach for the design of the Internal Audit function for risk assessment and control identification of inter-organizational supply chain processes, using business process modelling techniques and an internal audit–oriented enterprise modelling tool. A case study in the auditing of the supply chain processes in a virtual enterprise network demonstrates the application of the suggested methodology and tool.


2010 ◽  
Vol 9 (4) ◽  
pp. 489-493 ◽  
Author(s):  
Sebastian Marius Rosu ◽  
George Dragoi ◽  
Costel Emil Cotet ◽  
Luminita Rosu

2003 ◽  
Vol 13 (4) ◽  
pp. 300-309 ◽  
Author(s):  
H.C.W. Lau ◽  
Christina W.Y. Wong ◽  
Eric W.T. Ngai ◽  
I.K. Hui

Globalization and the borderless marketplace have created an opportunity for companies to come together to work on projects that could otherwise not be completed through the efforts of one or two companies acting independently. The formation of virtual enterprise networks combines the advantages of the various core competencies of members of the network to deliver customer satisfaction. Virtual enterprise networks consist of several firms that can be geographically dispersed, and that might be technically disparate in terms of system platforms. Coordination among members of the network and the the transfer of quality products and services among members of the network are the key factors in achieving success. The proposed framework presented in this paper utilizes a multi‐agent model to monitor quality within a virtual enterprise network to ensure that the processes among members run smoothly and efficiently.


Author(s):  
THOMAS WHALEN ◽  
GWANGYONG GIM

Modern financial institutions require sophisticated risk assessment tools to integrate human expertise and historical data in a market that is changing and broadening qualitatively, quantitatively, and geographically. The need is especially acute in newly developed countries where expertise and data are scarce, and knowledge bases and assumptions imported from the West may be of limited applicability. Second order logical models can be a valuable tool in such situations. They integrate the robustness of neural or statistical modeling of data, the perspicuity of logical rule induction, and the experience and understanding of skilled human experts. The approach is illustrated in the context of risk assessment in the Korean surety insurance industry.


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