The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Min Huang - One of the best experts on this subject based on the ideXlab platform.
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Virtual Enterprise risk management under asymmetric information
International Conference on Service Systems and Service Management, 2013Co-Authors: Min Huang, Xingwei WangAbstract:Information plays an important role in the decision process of risk management in a Virtual Enterprise (VE). The private information between owner and partners is a gap, which hinders the optimal decision of risk management for the whole VE. This paper studies the impact of asymmetric information on decision results of risk management in the VE, and gives useful advices to improve the information situation between owner and partners. More specifically, Distributed Decision Making (DDM) theory and stochastic programming theory are employed to build a significant model to describe the decision process of risk management. A Two-Level Particle Swarm Optimization (TLPSO) is then designed to solve the resulting optimization problem. The result shows that the proposed algorithm is effective and the proposed model can help to improve the description of the information situation between the owner and the partners, which is helpful to reduce the risk of the VE.
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a distributed decision making model for risk management of Virtual Enterprise
Expert Systems With Applications, 2011Co-Authors: Min Huang, Waiki Ching, Tak Kuen SiuAbstract:Risk management in a Virtual Enterprise (VE) is an important issue due to its agility and diversity of its members and its distributed characteristics. In this paper, we develop a risk management model for the VE. More specifically, we introduce a Distributed Decision Making (DDM) model for risk management of the VE. The model has two levels, namely, the top model and the base model, which describe the decision processes of the owner and the partners of the VE, respectively. It can be regarded as a combination of both the top-down and bottom-up approaches for risk management of the VE. Here we focus on the case of symmetry information between the owner and the partners. A Particle Swarm Optimization (PSO) algorithm is then designed to solve the resulting optimization problem. The result shows that the proposed algorithm is effective and the two-level model can help improve the description of the relationship between the owner and the partners, which is helpful to reduce the risk of the VE.
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principal agent theory based risk allocation model for Virtual Enterprise
Journal of Service Science and Management, 2010Co-Authors: Min Huang, Guike Chen, Waiki Ching, Tak Kuen SiuAbstract:In this paper, we consider a risk analysis model for Virtual Enterprise (VE) by exploring the state of the art of the principal-agent theory. In particular, we deal with the problem of allocating the cost of risk between two parties in a VE, namely, the owner and the partner(s). We first consider the case of a single partner of VE with symmetric information or asymmetric information and then the case of multiple partners. We also build a model for the optimal contract of the risk allocation based on the principal-agent theory and analyze it through specific example. At last we consider the case of multiple principal with potentially many partners based on common agency.
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genetic algorithm solution for a risk based partner selection problem in a Virtual Enterprise
Computers & Operations Research, 2003Co-Authors: Min Huang, Kaileung Yung, Dingwei WangAbstract:Dynamic alliance and Virtual Enterprise (VE) are essential components of global manufacturing. Minimizing risk in partner selection and ensuring the due date of a project are the key problems to overcome in VE, in order to ensure success. In this paper, a risk-based partner selection problem is described and modeled. Based on the concept of inefficient candidate, the solution space of the problem is reduced effectively. By using the characteristics of the problem considered and the knowledge of project scheduling, a rule-based genetic algorithm (R-GA) with embedded project scheduling is developed to solve the problem. The performance of this algorithm is demonstrated by a problem encountered in the construction of a stadium station and the experimental problems of different sizes. The results of this trial demonstrate the real life capability of the algorithm.
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genetic algorithm solution for a risk based partner selection problem in a Virtual Enterprise
Computers & Operations Research, 2003Co-Authors: W H Ip, Min Huang, Kaileung Yung, Dingwei WangAbstract:Dynamic alliance and Virtual Enterprise (VE) are essential components of global manufacturing. Minimizing risk in partner selection and ensuring the due date of a project are the key problems to overcome in VE, in order to ensure success. In this paper, a risk-based partner selection problem is described and modeled. Based on the concept of inefficient candidate, the solution space of the problem is reduced effectively. By using the characteristics of the problem considered and the knowledge of project scheduling, a rule-based genetic algorithm (R-GA) with embedded project scheduling is developed to solve the problem. The performance of this algorithm is demonstrated by a problem encountered in the construction of a stadium station and the experimental problems of different sizes. The results of this trial demonstrate the real life capability of the algorithm.
Tak Kuen Siu - One of the best experts on this subject based on the ideXlab platform.
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a distributed decision making model for risk management of Virtual Enterprise
Expert Systems With Applications, 2011Co-Authors: Min Huang, Waiki Ching, Tak Kuen SiuAbstract:Risk management in a Virtual Enterprise (VE) is an important issue due to its agility and diversity of its members and its distributed characteristics. In this paper, we develop a risk management model for the VE. More specifically, we introduce a Distributed Decision Making (DDM) model for risk management of the VE. The model has two levels, namely, the top model and the base model, which describe the decision processes of the owner and the partners of the VE, respectively. It can be regarded as a combination of both the top-down and bottom-up approaches for risk management of the VE. Here we focus on the case of symmetry information between the owner and the partners. A Particle Swarm Optimization (PSO) algorithm is then designed to solve the resulting optimization problem. The result shows that the proposed algorithm is effective and the two-level model can help improve the description of the relationship between the owner and the partners, which is helpful to reduce the risk of the VE.
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principal agent theory based risk allocation model for Virtual Enterprise
Journal of Service Science and Management, 2010Co-Authors: Min Huang, Guike Chen, Waiki Ching, Tak Kuen SiuAbstract:In this paper, we consider a risk analysis model for Virtual Enterprise (VE) by exploring the state of the art of the principal-agent theory. In particular, we deal with the problem of allocating the cost of risk between two parties in a VE, namely, the owner and the partner(s). We first consider the case of a single partner of VE with symmetric information or asymmetric information and then the case of multiple partners. We also build a model for the optimal contract of the risk allocation based on the principal-agent theory and analyze it through specific example. At last we consider the case of multiple principal with potentially many partners based on common agency.
Engin S Kilic - One of the best experts on this subject based on the ideXlab platform.
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an ontology based multi agent Virtual Enterprise system omave part 1 domain modelling and rule management
International Journal of Computer Integrated Manufacturing, 2017Co-Authors: Bahram Lotfi Sadigh, Shahrzad Nikghadam, Murat A Ozbayoglu, Hakki Ozgur Unver, Erdogan Dogdu, Engin S KilicAbstract:New advancements in computers and information technologies have yielded novel ideas to create more effective Virtual collaboration platforms for multiple Enterprises. Virtual Enterprise VE is a collaboration model between multiple independent business partners in a value chain and is particularly suited to small and medium-sized Enterprises SMEs. The most challenging problem in implementing VE systems is ineffcient and inflexible data storage and management techniques for VE systems. In this research, an ontology-based multi-agent Virtual Enterprise OMAVE system is proposed to help SMEs shift from the classical trend of manufacturing part pieces to producing high-value-added, high-tech, innovative products. OMAVE targets improvement in the flexibility of VE business processes in order to enhance integration with available Enterprise resource planning ERP systems. The architecture of OMAVE supports the requisite flexibility and enhances the reusability of the data and knowledge created in a VE system. In this article, a detailed description of system features along with the rule-based reasoning and decision support capabilities of OMAVE system are presented. To test and verify the functionality and operation of this system, a sample product was manufactured using OMAVE applications and tools with the contribution of three SMEs.
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an ontology based multi agent Virtual Enterprise system omave part 2 partner selection
International Journal of Computer Integrated Manufacturing, 2017Co-Authors: Bahram Lotfi Sadigh, Shahrzad Nikghadam, Murat A Ozbayoglu, Hakki Ozgur Unver, Erdogan Dogdu, Engin S KilicAbstract:A Virtual Enterprise (VE) is a collaboration model between multiple business partners in a value chain. The VE model is particularly feasible and appropriate for small- and medium-sized Enterprises (SMEs) and industrial parks containing multiple SMEs that have different vertical competencies. The VE consortium’s success highly depends on its members. Therefore, it is crucial to select the most appropriate Enterprises when forming a VE consortium. In this study, a new multi-agent hybrid partner selection algorithm is developed for application in the development of an ontology-based multi-agent Virtual Enterprise (OMAVE) system. In this platform, the agent’s interactions are supported by agent ontology, which provides concepts, properties and all message formats for the agents. Different types of agents collaborate and compete with each other so that unqualified or inefficient Enterprises are eliminated from the Enterprise pool. Only the remaining Enterprises would be allowed to enter the negotiation proces...
David Chen - One of the best experts on this subject based on the ideXlab platform.
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semantic enhanced rule driven workflow execution in collaborative Virtual Enterprise
International Conference on Control Automation Robotics and Vision, 2008Co-Authors: Gang Chen, Jing Bing Zhang, Zhonghua Yang, Junhong Zhou, David ChenAbstract:Globalization leads to an efficient new business paradigm generally known as collaborative Virtual Enterprise (CVE) which demands flexible service orchestration and robust workflow execution. As two major service orchestration strategies, OWL-S and BPEL have their own strength and deficiencies. To meet the challenge in CVE, in this paper, we propose a workflow execution system (WES) that takes advantage of the complementary strengths of these two technologies. On the one hand, having semantic support, OWL-S is used in dynamic service discovery and composition at high level. On the other hand, at the concrete level, industry-based BPEL is exploited in service execution. The description of each semantic Web service is enhanced with rule-based modeling of the essential business logic behind the service interface. In order to realize interoperability in OWL-S and BPEL without loss of semantic information, we further proposed an OWLS2BPEL Mapper to facilitate the workflow robustness and support rule evaluation to increase responsiveness to customers. A concrete scenario in PC manufacturing collaborative Virtual Enterprise is analyzed to demonstrate the effectiveness of our workflow execution system.
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dynamic Virtual Enterprise integration via business rule enhanced semantic service composition framework
Conference on Industrial Electronics and Applications, 2008Co-Authors: Gang Chen, Jing Bing Zhang, Zhonghua Yang, David ChenAbstract:Effective collaboration is crucial to the success of collaborative Virtual Enterprise (CVE), an emerging business paradigm driven by the increasing trend of globalization. In this paper, we adopt a service-oriented architecture for Enterprise integration and collaboration based on Web service standards. In order to tackle the technical challenge associated with the dynamic formation of business workflows, a service composition framework is presented and analyzed in this paper. Comparing with existing composition systems, our framework enjoys two major improvements: (1) the description of each Web service is enhanced with rule-based modeling of the essential business logic behind the service interface; and (2) the divide-and-conquer strategy is explored in our framework to handle complex service composition tasks through a hierarchical composition architecture. A PC manufacturing prototyping system further presents a concrete demonstration of our framework in practical applications.
Arturo Molina - One of the best experts on this subject based on the ideXlab platform.
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Green Virtual Enterprise Breeding Environments: A Sustainable Industrial Development Model for a Circular Economy
2012Co-Authors: David Romero, Arturo MolinaAbstract:A Green Virtual Enterprise Breeding Environment (GVBE) is a long-term strategic alliance of green Enterprises and their related support institutions aimed at offering the necessary conditions to efficiently promote the sharing and recycling of resources such as: information, materials, water, energy and/or infrastructure with the intention of achieving sustainable development in a collaborative way. A GVBE can be a three-level holistic sustainable industrial development model for achieving a Circular Economy at a micro-level with its green Enterprises development, at meso-level with green Virtual Enterprises creation and at a macro-level with the GVBE it-self as an intelligent network for competencies and resources management from different green Enterprises aiming to combine their green capabilities to develop triple top-line strategies to create sustainable value. This paper provides basic concepts and general guidelines to create sustainable industrial development models for Circular Economy based-on Collaborative Networked Organisations.
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Virtual Enterprise brokerage a structure driven strategy to achieve build to order supply chains
International Journal of Production Research, 2007Co-Authors: Arturo Molina, Marcela Velandia, Nathalie GaleanoAbstract:This paper proposes the concept of the Virtual Enterprise broker as an innovative model to design and create build to order supply chains. The build to order supply chain responds to the demands of new global manufacturing economy offering high level of customisation, high customer driven design, volume flexibility, short cycle time, no inventory costs, minimal total cost and supply chain integration. A review of different manufacturing operational models, including make to stock, make to order, assembly to order, engineer to order and configure to order, is presented to set the context for the requirements of build to order operations. The Virtual Enterprise broker is proposed as a structure driven strategy to support the creation of dynamic supply chains to satisfy build to order requirements. The Virtual Enterprise broker strategy is described in terms of core processes and competencies. We also demonstrate of how the Virtual Enterprise broker strategy has been implemented in various industrial scenari...
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Virtual Enterprise broker processes methods and tools
Working Conference on Virtual Enterprises, 2002Co-Authors: Ricardo Mejia, Arturo MolinaAbstract:The role of the broker in nowadays e-business is getting special attention. This paper presents a description of an e-broker, named Virtual Enterprise Broker (VEB). The core processes, methods and tools used by the VEB in order to fulfill the customer’s requirements are described. The four core processes of the VEB are: Analysis of Market Requirements, Project Planning, Project execution and Customer Service. All of these core processes requires the use of different methods and tools. Three proposed information systems to support the VEB activities are presented: Enterprise Core Competence Database, Enterprise Capability Broker Matrix and Broker Capacity Planning Tool. Finally, experiences in creating Integrated Supply Chains between SME, members of Virtual Industry Clusters, to OEMs (Original Equipment Manufacturers) in the Mexican Industry will be presented as case studies to demonstrate the use of the methods and tools presented in this paper.
