Available online at www.sciencedirect.com
Systems Engineering Procedia 5 (2012) 93 – 98
International Symposium on Emergency Management 2011
Two-Layer Fuzzy Comprehensive RSA-ANP-DSS Evaluation Model of Emergency Management Capacity about Enterprise Value Network Bu Huabaia,b *,Bu Shizhena b
a Hengyang Normal University, Hengyang, Hunan 421008,China School of Business, Central South University, Changsha, Hunan, 410083,China
Abstract The enterprise value network engineering is an effective social business carrier, but the “sudden adversity” or “sudden disaster” often occurs to every internal enterprise in the value network engineering system or outside, which makes the enterprise have to have a good emergency management ability in order to avoid the final crisis. The article uses a system analysis approach to construct a two-layer fuzzy comprehensive evaluation model of emergency management capacity about enterprise value network engineering based on RSA-ANP-DSS research methods, which can provide a decision-making theory foundation for emergency management and improve emergency management capabilities to the “sudden adversity” or “sudden disaster” in the value network engineering. © 2011 Elsevier Ltd.Ltd. Selection and peer-review under responsibility of Desheng Wu Dash Wu. © 2012Published Publishedbyby Elsevier Selection and peer-review under responsibility of Dash Desheng Open access under CC BY-NC-ND license. Keywords: value network engineering; emergency management capability; evaluation model; RSA-ANP-DSS method
1. Introduction Emergency management issues are growing concern in the entire world since “9.11” terrorist attacks in the United States, but so far, “emergency management” is not a unified concept, George D. Haddow and Jane A. Bullock[1] considered that Emergency Management is a science processing to avoid the risk, including pre-disaster preparedness, disaster response, support and social reconstruction after the occurrence of natural or man-made disasters. Lei Ji etal[2] considered that emergency management is a process of emergency in order to reduce incidents of harm and optimize decision-making, analyze the reasons for unexpected events, processes and consequences, effectively integrate all social aspects related resources for effective early warning of emergencies, control and treatment. Currently, the object of emergency management capacity assessment is the disaster emergency management system[3] ,it is defined as a comprehensive emergency management to construct evaluation indicators system by scientific method and an assessment model and then do a comprehensive assessment in order to find the problem and lack, then do continuous refinement and improvement. The concept of value network[4] was firstly proposed in 2001 by David. Value Network Engineering theory considered enterprise Value Network Engineering
* Corresponding author: Bu Huabai Tel.:13974790273; fax: 0734-8484913 E-mail:
[email protected].
2211-3819 © 2012 Published by Elsevier Ltd. Selection and peer-review under responsibility of Desheng Dash Wu. Open access under CC BY-NC-ND license. doi:10.1016/j.sepro.2012.04.015
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system is made of “vendor system”, the “Company”, “customer system”, “replacement system”, “complements those systems”, each subsystem has its inherent vulnerability, and they are affected by their different fragile factors. The enterprise Value Network Engineering as a purpose engineering system is a social cost-effective business carrier, but every enterprise in in-house Value Network Engineering or outside, often occur “sudden adversity” or “sudden disaster”, and then they stimulated local enterprise vulnerability [5], which makes the enterprise have to a good emergency management ability in order to avoid final crisis in the enterprises, such as the U.S. Leiman Brothers, the Chinese Sanlu milk powder, and so on. The article uses a systems analysis approach to construct a two-layer fuzzy comprehensive evaluation model of enterprise Value Network Engineering emergency management capacity based on RSA-ANP-DSS research methods, which can provide a decision-making theory foundation for emergency management and improve emergency management capabilities. 2. Assessment model
2.1 Determining the weight based on RSA-ANP-SSD method RSA-ANP-SSD is a method combining subjective and objective weight, its basic idea is: determining the objective indicators and subjective weights according to the Method of RSA and ANP, respectively, and then using minimum variance as the objective function to combine subjective with objective weight. RSA˄Rough Set Analysis˅method. Supposing s (U , A, V , f ) is an information system by collecting a large number of the historical average samples,
P A, U / IND ( P ) n
¦
I ( P)
i 1
Xi ª Xi º «1 » U ¬ U ¼
X
is set the base; Where indicators is as follows:
S gi C ^c` (c)
^ x1 , x2 ,..., xn ` , p is defined as the amount of information:
Xi U
n
1
1
U
2
¦
Xi
2
i 1
is equivalence class Xi probability in U., the importance of Index c C in
I (C ) I (C ^c`)
^c1 , c2 ,..., cn ` , in indicators can be measured by removing c from C after the change in size due to the amount of information. As a result, index weight of c C can be found. Therefore, the importance of Index c C ,
wi
Sig C ^ci ` (c ) n
¦ Sig j 1
C
I (C ) I (C ^ci`) n
^ `
C cj
(c j )
nI (C ) ¦ I (C ^c j `) j 1
Analysis Network Process Assuming determining matrix is A,
A (aij ) mun Testing its consistency, and calculating random consistency ratio CR: CR
CI RI
If CR b1 , b2 ,..., bn @
Where bk= V [ai䌻rik], (k= 1, 2, 3, 4, 5) Obtaining the results of the emergency management capacity about the enterprise value network engineering. 1. 3 Empirical evaluation In order to scientifically assess the level of emergency management capacity about enterprise Value Network Engineering, the research group selected 10 people, calculating the index weight by the use of RSA-ANP-SSD method; the data is in Table 1. And then Re-evaluating, obtaining membership rijk (where k = 1, 2, 3, 4, 5) by using the Delphi, the specific data see also table 1.
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Bu Huabai and Bu Shizhen / Systems Engineering Procedia 5 (2012) 93 – 98 Table 1 the data sheet of emergency management capacity about enterprise value network engineering Target
Firstly
layer
Indicators Monitoring
A
Secondary indicators
Ai
r1
r2
r3
r4
r5
0.26
Monitoring-forecasting capabilities unexpected crisis
0.35
0.1
0.3
0.4
0.1
0.1
There may be sudden crisis on the ability to monitor
0.36
0.2
0.1
0.4
0.3
0.0
Predicting sudden crisis situation improved facilities
0.14
0.2
0.4
0.2
0.1
0.1
The level of forecast accuracy
0.15
0.2
0.3
0.3
0.1
0.1
And forecasting capabilities The
Network
Disaster the size of the carrying capacity of enterprises
025
0.1
0.2
0.3
0.3
0.1
Evalu-
Defense
Monitoring and prevention
0.20
0.1
0.3
0.3
0.2
0.1
ation
capability
Popularity of business disaster preparedness
0.20
0.1
0.3
0.3
0.2
0.1
Of
businesses
Participation of employees into the disaster exercise
0.20
0.2
0.3
0.3
0.1
0.1
Emer-
sudden crisis
the situation of disaster plan understood by Employees
0.15
0.2
0.2
0.3
0.2
0.1
Whether the preparation of contingency plans for sudden crisis
0.40
0.4
0.2
0.1
0.0
0.3
Corporate management decision-making capacity
0.35
0.3
0.3
0.1
0.1
0.2
Ability to interact with corporate strategy
0.25
0.1
0.3
0.3
0.2
0.1
gency management
Emergency
0.19
0.20
response
capacity
capacity
about enterp-
Networks
command Department speed
0.27
0.2
0.2
0.3
0.2
0.1
rise
Enterprises
To direct disaster relief
0.22
0.1
0.2
0.4
0.3
0.0
value
rapid
Sudden crisis information dissemination capabilities
0.23
0.1
0.3
0.3
0.2
0.1
network
response
Coordination of logistics system
0.28
0.2
0.4
0.2
0.1
0.1
system
capability Network
0.18
Corporate self-help capabilities
0.15
0.3
0.3
0.2
0.0
0.2
Emergency
0.17
Ability of medical assistance
0.15
0.3
0.3
0.2
0.1
0.1
rescue
Human rescue teams into
0.21
0.3
0.3
0.2
0.1
0.1
Reserves of relief funds
0.18
0.3
0.3
0.2
0.1
0.1
supplies
0.11
0.2
0.2
0.1
0.2
0.4
Information platform for coordination
0.10
0.3
0.3
0.2
0.3
0.2
Inventory replenishment capability
0.10
0.3
0.3
0.2
0.0
0.2
Corresponding to the above data, there are: A= (0.26ˈ0.19ˈ0.20ˈ0.18, 0.17), A1= (0.35ˈ0.36ˈ0.14ˈ0.15), A2= (0.25ˈ0.20ˈ0.20ˈ0.20ˈ0.15), A3= (0.4ˈ0.35, 0.25), A4= (0.27ˈ0.22ˈ0.23ˈ0.28), A5= (0.15ˈ015ˈ0.21ˈ0.18, 0.11, 0.10, 0.10) We get R1, R2, R3, R4 and R5 in the above formula, R can be obtained, and the specific calculation process is as follows:
R
> Am Rm @5u5
m = 1, 2, 3, 4, 5. So the first set of fuzzy comprehensive evaluation is: B = A. R = [0.1483, 0.1554, 0.1664, 0.3161, 0.1958]
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Bu Huabai and Bu Shizhen / Systems Engineering Procedia 5 (2012) 93 – 98
B is the evaluation results of emergency management capability level about the enterprise, in order to quantify the elements, Assuming set V1 = 10, V2 = 20, V3 = 30, V4 = 40, V5 = 50, V = (10,20 , 30,40,50), then: V = 0.1483 × 10 +0.1554 × 20 +0.1664 × 30 +0.3161 × 40 +0.1958 × 50 = 32.017 .We can see from the above data, V >30, which shows that the enterprises is the middle level of emergency management capabilities.
Conclusion The paper presents a “RSA-ANP-SSD” combination weighting pattern, which takes into account the properties of decision-makers preferences, and also reduces the subjective and arbitrary, thereby improves the accuracy of weighting. The paper establishes an evaluation index system and a two-layer fuzzy comprehensive evaluation model of the emergency management capacity about enterprise value network engineering based on RSA-ANP-DSS research methods, which can provide a decision-making theory foundation for emergency management and provides a useful analytical tool and decision supporting for the formulation and implementation strategy about the enterprise value network engineering.
Acknowledgements 2012 Humanities and Social Sciences Foundation of the Education Ministry :“Embedding, the consequences of strategic positioning and growth-----based on intelligent network of logistics companies”; 2011 Social Science Foundation of Hunan Province----- “the impact of the competitiveness of enterprises value network capabilities embedded and different strategy positioning”.
References 1.George D Haddow, Jane A Bullock. Introduce to Emergency Management, TX: Butterworth-Heinemann, 2010. 2.Ji Lei, Chi Hong, Chen An, etc. Emergency Management,Beijing: Higher Education Press, 2011. 3.Qiming Liang, Chi Honng, Xu Baoguang, etc. Public Emergency Management, .2007-2008 management science and engineering development report, 2011: 108-123. 4.David • Bo Weite, Value Network Engineering, Beijing: People's Posts and Telecommunications Press, 2001. 5. Bu Huabai. Enterprise vulnerability management..Enterprise Management, ,No.5,23(2011)
