The Study on Partners Relationship for Virtual Enterprises Risk Management Based on Distributed Decision

2010 ◽  
Vol 439-440 ◽  
pp. 1024-1029
Author(s):  
Neng Wang
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Virtual Enterprise ◽  
Risk Control ◽  
Search Space ◽  
Decision Processes ◽  
Virtual Enterprises ◽  
Distributed Decision Making ◽  
Control Actions ◽  
Distributed Decision

To reduce risks of Virtual Enterprise （VE）, a novel Distributed Decision Making （DDM） model for VE risk management was presented. This model had two levels, namely, the top-model and the base-model, which described the decision processes of the owner and the partners, respectively. The owner allocated funds to each member of the VE, the partners then selected their own optimal risk control actions to reduce their risks with the constraint given by the allocated budget. When number of members in VE, the number of risk factors and the number of actions increased, the size of the search space would be very huge, the brief solutions of the models are also discussed.

scholarly journals Risk Control of Virtual Enterprise Based on Distributed Decision-Making Model

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Zhaoying Ouyang
Keyword(s):  
Decision Making ◽  
New Technologies ◽  
Virtual Enterprise ◽  
Risk Control ◽  
Current Status ◽  
Distributed Decision Making ◽  
Study Results ◽  
Decision Making Model ◽  
The Relationship ◽  
Distributed Decision

Virtual enterprise is a dynamic alliance of businesses, in which multiple members undertake joint research, development, manufacturing, operation, etc. The complexity of the relationship between business members, coupled with many new technologies or methods applied in the alliance operation, leads to more uncertain factors and difficulties in the operation and risk management of the virtual enterprise. The distributed decision-making model is a fast and effective decision-making model, in which dispersed intellectual resources and information resources are dynamically integrated through virtual organization forms and operating mechanisms, and the dynamic reorganization, result evaluation, and synthesis of the decision-making system are realized by certain control rules. On the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of the risk control of virtual enterprise; elaborated the development background, current status, and future challenges of distributed decision-making model; introduced the related works of decision-making variable calculation and constraint determination; constructed a risk control model for virtual enterprise based on distributed decision-making model; analyzed the multiobjective model and interval programming model of risk control; established a risk control approach for virtual enterprise based on distributed decision-making model; performed the optimal allocation of risk control funds and the selective optimization of backup allies; and finally conducted a case analysis. The study results show that, in view of the diversity of relationships between alliance businesses and the complexity of the distribution of cooperative areas, the distributed decision-making model can more reasonably describe the relationship between alliance members and accurately control the risks of virtual enterprise from multiple angles, which can effectively manage the risks of virtual enterprise. The study results of this paper provide a reference for further research on the risk control of virtual enterprise based on distributed decision-making model.

scholarly journals Virtual Enterprise Risk Management Using Artificial Intelligence

2010 ◽  
Vol 2010 ◽  
pp. 1-20 ◽  
Author(s):  
Hanning Chen ◽  
Yunlong Zhu ◽  
Kunyuan Hu ◽  
Xuhui Li
Keyword(s):  
Artificial Intelligence ◽  
Risk Management ◽  
Optimization Model ◽  
Virtual Enterprise ◽  
Optimization Techniques ◽  
Management Problem ◽  
Test Scenario ◽  
Distributed Decision Making ◽  
Enterprise Risk ◽  
Decision Making Model

Virtual enterprise (VE) has to manage its risk effectively in order to guarantee the profit. However, restricting the risk in a VE to the acceptable level is considered difficult due to the agility and diversity of its distributed characteristics. First, in this paper, an optimization model for VE risk management based on distributed decision making model is introduced. This optimization 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. In order to solve the proposed model effectively, this work then applies two powerful artificial intelligence optimization techniques known as evolutionary algorithms (EA) and swarm intelligence (SI). Experiments present comparative studies on the VE risk management problem for one EA and three state-of-the-art SI algorithms. All of the algorithms are evaluated against a test scenario, in which the VE is constructed by one owner and different partners. The simulation results show that thePS2Oalgorithm, which is a recently developed SI paradigm simulating symbiotic coevolution behavior in nature, obtains the superior solution for VE risk management problem than the other algorithms in terms of optimization accuracy and computation robustness.

The Risk Management of the Owner in the Bidding Process under the 2013 Edition of the Valuation Mode of Bill of Engineering Quantity

2014 ◽  
Vol 687-691 ◽  
pp. 4670-4673
Author(s):  
Zhang Lin Guo ◽  
Rui Hong Jia
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Theoretical Basis ◽  
Building Materials ◽  
Risk Control ◽  
Project Risk ◽  
Rates Of Change ◽  
The Cost ◽  
Bidding Process ◽  
Construction Works

Taking the perspective of the owners,we analyze the major valuation risk which is based on the theory of the project risk management under the version of 2013 code of valuation with bill quantity of construction works when the owner want to bid to identify the possible risk factors. And in this article we propose some specific measures of the risk control about the imperfect of construction drawing design,the quatity problems of tender documents,unbalanced quote of the bidders,the price changing of the building materials and equipments and various rates of change in order to achieve active control risk and avoid exceeding the cost and provide a theoretical basis for the owner (or the tender agent) to bid.

scholarly journals A Coordination of Risk Management for Supply Chains Organized as Virtual Enterprises

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Min Huang ◽  
Xingwei Wang ◽  
Fu-Qiang Lu ◽  
Hua-Ling Bi
Keyword(s):  
Risk Management ◽  
Optimization Problems ◽  
Virtual Enterprise ◽  
Pso Algorithm ◽  
Strategic Partnership ◽  
Base Case ◽  
Virtual Enterprises ◽  
Management Problem ◽  
Incentive Scheme ◽  
Relationship Performance

As a new management mode, great attention has been paid to virtual enterprise (VE). While there is much research material on risk management of VE, a relationship perspective on owner and partner performance assessment and management can bring an added dimension. The coordination of risk management in fashion and textiles (FTs) supply chain organized as a VE is studied in this paper. The aim of this study is to find proper decision mechanisms that can improve the overall performance of risk management for the whole VE as well as each member. For the risk management problem in VE, a centralized mechanism is given as the base case, and then a distributed decision-making (DDM) mechanism with incentive scheme is introduced to establish a practicable strategic partnership. Under the DDM mechanism, a relationship performance definition that incorporates the financial dimension is investigated. For the two resulting optimization problems, a particle swarm optimization (PSO) algorithm is designed. In the numerical examples, the study shows that the DDM mechanism with incentive scheme can improve the overall benefit of risk management beyond the centralized one. Additionally, sensitivity analysis is conducted with respect to the bonus parameter, and suggestions are made for further research.

RISK MANAGEMENT OF TERMINAL ON-SITE OPERATIONS FOR SPECIAL BULK CARGOS IN TAIWAN

2021 ◽  
Vol 161 (A2) ◽  
Author(s):  
Wen-Jui Tseng ◽  
Ji-Feng Ding ◽  
Shing-Hua Hung ◽  
Worawut Poma
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Control Strategies ◽  
Risk Control ◽  
Benefit Analysis ◽  
Risk Area ◽  
Related Risk ◽  
Formal Safety Assessment ◽  
Assessment Approach ◽  
Hierarchy Process

The main purpose of this article was to study the risk management of terminal on-site operations for special bulk cargos in Taiwan. This study applied the concept of Formal Safety Assessment approach as the foundation of risk management assessment. At first, a total of four risk aspects with eighteen preliminary risk factors were generated from literature and experts interviews. Three methods – namely analytical hierarchy process (AHP), risk matrix model (RMM), and costs and benefit analysis (CBA) methods – were employed to perform an empirical study in Taiwan. The empirical results showed: (1) The most severe risk factor found using the AHP method was ‘failure to perform periodic machinery maintenance and examination.’ (2) Ten risk factors placed in the highest-risk area via the RMM method. (3) All risk control strategies were evaluated for applicability by using the CBA method. This study recommended that improvement and reinforcement of the staff aspect and the related risk factors for the on-site operation of special bulk cargos. Through implementation of risk control strategies, the risks of accidents can be controlled.

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