![](bg5.png)
Figure 4: Alternation curve with
50=n
.
The value of each index of current enterprise’s
performance is the initial value. Through optimized,
each index can obtain its relative optimum value in
the strategic systems. When the time f alternation is
50, the optimization curve is what’s shown in Figure
4. When the initial function value is 3.106, the
corresponding value of the strategic performance is
0.322. After iterations, the optimal function value is
1.145, the corresponding optimal value is 0.873.
That’s optimal value is the theoretical value, the state
it corresponds to is ideal, which may have got some
difference with the reality. For example, the optimal
value which corresponds to the management ability
6
x and the corporate learning
12
x is too small. The
deviation with the actual situation is the result of the
constraint set. The relative optimal value is
theoretical. In practice, there may be a variety of
uncontrollable factors. In theory, if we can express
each influential factor by function scientifically and
reasonably, and set the corresponding constraints,
then the method can offer useful ideas for enterprise
strategy collaborative optimization.
6 CONCLUSIONS
This paper designs principle and structure about
strategic performance collaborative optimization the
bases on the concept of collaborative optimization,
composes operation collaborative optimization model
combined with chaos optimization method and makes
numerical simulation. Taking strategic system as the
optimization system-level, analyzing strategic
elements from dimensions of structure, capability and
cultural, the coupling relationship between
subsystems is determined by the system-level
optimization. Strategy system calculates and balances
the internal and external environment status and the
development trend comprehensively. On one hand it
will pass the amended information to the strategic
business units, on the other hand it will export the
strategic performance. The strategic business unit
adjusts the coupling relationship between each other
according on the instruction passed by the strategic
layer, so that to achieve a dynamic optimization
strategy, which reflects the consistency and
collaboration of the internal and external environment.
The model is feasible in theory proved by numerical
simulations, in practice, it still needs to set more
comprehensive and specific data conditions.
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A COLLABORATIVE OPTIMIZATION MODEL FOR STRATEGIC PERFORMANCE
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