Research on Risk Evaluation in Supply Chain ... - ResearchGate
Research on Risk Evaluation in Supply Chain ... - ResearchGate
Research on Risk Evaluation in Supply Chain ... - ResearchGate
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30 JOURNAL OF COMPUTERS, VOL. 3, NO. 10, OCTOBER 2008<br />
disrupti<strong>on</strong> of the whole supply cha<strong>in</strong>. In a geographical<br />
area where natural disasters are comm<strong>on</strong>, most of<br />
companies c<strong>on</strong>fessed that if a natural disaster occurred<br />
they probably can not ma<strong>in</strong>ta<strong>in</strong> bus<strong>in</strong>ess operati<strong>on</strong>s and<br />
supply obligati<strong>on</strong>s.<br />
Cooperative risk(C 6 ): Cooperative risk means the loss<br />
result from the cooperati<strong>on</strong> breakdown or changes am<strong>on</strong>g<br />
the participants <strong>in</strong> the supply cha<strong>in</strong>. This may lead to bad<br />
results, such as supply cha<strong>in</strong> disrupti<strong>on</strong> or failure. And<br />
the distrust between the copartners <strong>in</strong> the supply cha<strong>in</strong> is<br />
supported to be the most important factor to br<strong>in</strong>g about<br />
such results.<br />
Management decisi<strong>on</strong> risk(C 7 ): As the bus<strong>in</strong>ess world<br />
becomes more complex, the decisi<strong>on</strong> envir<strong>on</strong>ment turn to<br />
be vague and uncerta<strong>in</strong>. So to make a right decisi<strong>on</strong> more<br />
depend <strong>on</strong> the understand<strong>in</strong>g of decisi<strong>on</strong> <strong>in</strong>formati<strong>on</strong> and<br />
the decisi<strong>on</strong> experience <strong>in</strong> the same circumstance. And<br />
for those who have a bad sense and are <strong>in</strong>experienced,<br />
this would be a missi<strong>on</strong> impossible.<br />
Informati<strong>on</strong> shar<strong>in</strong>g risk(C 8 ): The central purpose of<br />
<strong>in</strong>formati<strong>on</strong> shar<strong>in</strong>g is to assist <strong>in</strong> m<strong>in</strong>imiz<strong>in</strong>g the risk of<br />
harm to supply cha<strong>in</strong>. But the fact is <strong>in</strong>formati<strong>on</strong> shar<strong>in</strong>g<br />
accompanies greater risk. Sensitive <strong>in</strong>formati<strong>on</strong> revealed<br />
might result <strong>in</strong> loss of an advantage or level of security<br />
and may lead to the disrupti<strong>on</strong> of supply cha<strong>in</strong>. So to be<br />
clear with what <strong>in</strong>formati<strong>on</strong> can be shared and what can<br />
not will help the companies ma<strong>in</strong>ta<strong>in</strong> an efficient but<br />
secure supply cha<strong>in</strong>.<br />
Operati<strong>on</strong> schedule risk(C 9 ): Operati<strong>on</strong> schedule risk<br />
is the danger of loss <strong>in</strong> fail<strong>in</strong>g to meet schedule plans.<br />
S<strong>in</strong>ce uncerta<strong>in</strong>ly exists <strong>in</strong> every schedule. So it is<br />
impossible to predict, with complete c<strong>on</strong>fidence, the<br />
length of time necessary to produce the product, to<br />
deliver the product etc. And Schedule delay often results<br />
<strong>in</strong> loss of revenue, costs <strong>in</strong>creas<strong>in</strong>g and reputati<strong>on</strong><br />
damage.<br />
F<strong>in</strong>ancial risk(C 10 ): F<strong>in</strong>ancial risk is normally any risk<br />
associated with any form of f<strong>in</strong>anc<strong>in</strong>g. Fac<strong>in</strong>g f<strong>in</strong>ancial<br />
risk, the company <strong>in</strong> today’s bus<strong>in</strong>ess world need take<br />
TABLE I.<br />
INDICATOR SYSTEM FOR SUPPLY CHAIN RISK EVALUATION<br />
<strong>Risk</strong> category<br />
External risk<br />
Internal risk<br />
Political risk(C 1 )<br />
Ec<strong>on</strong>omic risk(C 2 )<br />
Technology risk(C 3 )<br />
Market risk(C 4 )<br />
Nature hazard(C 5 )<br />
Cooperative risk(C 6 )<br />
Criteria<br />
Management decisi<strong>on</strong> risk(C 7 )<br />
Informati<strong>on</strong> shar<strong>in</strong>g risk(C 8 )<br />
Operati<strong>on</strong> schedule risk(C 9 )<br />
F<strong>in</strong>ancial risk(C 10 )<br />
Human resource risk(C 11 )<br />
acti<strong>on</strong>s to mitigate the risk and create ec<strong>on</strong>omic value by<br />
us<strong>in</strong>g f<strong>in</strong>ancial <strong>in</strong>struments to manage exposure to risk.<br />
Human resource risk(C 11 ): Human resource risks are<br />
events that prevent employees from fulfill<strong>in</strong>g their<br />
resp<strong>on</strong>sibilities and thus keep the supply cha<strong>in</strong> from<br />
operat<strong>in</strong>g at full efficiency. Human resource risks<br />
<strong>in</strong>cludes death, disability, divorce, employee turnover etc.<br />
The ideal way to deal with human resource risk is to keep<br />
a c<strong>on</strong>t<strong>in</strong>gency plan <strong>in</strong> case of the available of key<br />
pers<strong>on</strong>nel.<br />
III. THE PROPOSED MODEL<br />
Suppose D is the decisi<strong>on</strong> matrix, A 1 , A 2 , … , A m are<br />
the alternatives to be chosen, C 1 , C 2 , …, C n denote the<br />
evaluati<strong>on</strong> criteria, x ij represents the rat<strong>in</strong>g of alternative<br />
A i with respect to criteri<strong>on</strong> C j .<br />
So a typical fuzzy multi-criteria decisi<strong>on</strong>-mak<strong>in</strong>g<br />
problem can be expressed <strong>in</strong> matrix format as<br />
C1<br />
C2<br />
L Cn<br />
A1<br />
⎡ x11<br />
x12<br />
L x1n<br />
⎤<br />
⎢<br />
⎥<br />
D = A2<br />
⎢<br />
x21<br />
x22<br />
L x2n<br />
⎥ ,<br />
M ⎢ M M M M ⎥<br />
⎢<br />
⎥<br />
Am<br />
⎣xm1<br />
xm2<br />
L xmn<br />
⎦<br />
where, i =1, 2, …, m, j=1, 2, …, n, x ij is denoted by<br />
l<strong>in</strong>guistic term.<br />
T<br />
Let ϖ = w , w , ) be weight vector, w j be<br />
(<br />
1 2<br />
Lw n<br />
n<br />
∑ i = 1<br />
the weight of criteri<strong>on</strong> C j , and w = 1 .<br />
Ow<strong>in</strong>g to the complexity of evaluati<strong>on</strong> object, the<br />
evaluators usually just give partial weight <strong>in</strong>formati<strong>on</strong>.<br />
And there are 6 forms of partial weight <strong>in</strong>formati<strong>on</strong><br />
usually given by evaluators:<br />
wi ≥ w j<br />
,<br />
wi<br />
≥ ∂ijw<br />
j<br />
,<br />
wi − w j<br />
≥ βij<br />
,<br />
γ<br />
j<br />
≤ w<br />
j<br />
≤ η<br />
j<br />
,<br />
σ<br />
ij<br />
≤ wi<br />
/ w<br />
j<br />
≤ ζ<br />
ij<br />
,<br />
w + w ≤ 2w<br />
( i ≠ j ≠ k)<br />
,<br />
where<br />
ij<br />
i<br />
j<br />
j<br />
j<br />
∂ β , γ , η , σ , ζ are n<strong>on</strong>negative<br />
,<br />
ij<br />
c<strong>on</strong>stant numbers. For dem<strong>on</strong>strat<strong>in</strong>g the steps of the<br />
method, let Q be the set of above 6 forms.<br />
A. Normalize the Decisi<strong>on</strong> Matrix<br />
x ij is represented by l<strong>in</strong>guistic term, and x<br />
ij<br />
∈ S , S =<br />
{S1=EL, S2=VL, S3=L, S4=M, S5=H, S6=VH, S7=EH}.<br />
The exact mean<strong>in</strong>g of the elements <strong>in</strong> S is given <strong>in</strong><br />
Table II.<br />
Generally criteria can be classified <strong>in</strong>to two types:<br />
benefit criteria and cost criteria.<br />
For benefit criteria, the normalized formula is:<br />
ij<br />
ij<br />
k<br />
j<br />
© 2008 ACADEMY PUBLISHER