![](bg4.png)
machine defined on the knowledge set
and
)(PL
is the language generated by the product, in
other words, a sequence of elements in
, noted as:
⎪
⎭
⎪
⎬
⎫
⎪
⎩
⎪
⎨
⎧
==
∈∧∈
=
njni
QEKkkkk
PL
P
j
P
i
P
n
PP
,..,2,1,0;,..,2,1
);()(|...
)(
21
where
T
j
E
is the state in the evolution process of the
product
P .
We have
PT ⇔
, that is to say, each general
task
links to a product development process of
product
. For example, the task of “design a
chair”, means to realize a product design process,
from the initial state “an idea” to the final state
“details of the chair”.
3.3 The Application Process of the
OFCK Model
Thanks to the OFCK model, some issues in
knowledge management can be simplified to the
problem of seeking solutions from a knowledge base
when the general object and constraints are given
(shown in Figure 2). For example, in a case of
designing a chair, the OFCK model can be applied
to seek the knowledge required.
1. Decomposition. The general task of
“designing a chair” can be decomposed into
sub-tasks such as considering the architecture,
considering the cost, considering the recycle
possibilities, considering aesthetics, etc.
2. Mapping. Once the atomic tasks are clarified
in the design process, the atomic knowledge
can be found by the use of the FCK map.
3. Retrieving. The required knowledge can be
retrieved through the ILK or imported from
the extern.
4 CONCLUSIONS AND
PERSPECTIVES
This paper has proposed the OFCK model to
describe the relationship of objects, constraints and
knowledge, which helps to find the appropriate
knowledge to a given general object in the context of
certain constraints. The main idea of the paper is to
find the appropriate knowledge to a given task.
Further studies may aims at the optimization
procedure of the product design process, in other
words, how to accomplish the tasks in a more
efficient way. Another research opportunity is about
the improvement of the characterization of the
product design process. When some processes have
recursions, the task decomposition process will be
much more complicated and the mapping process
should be reconsidered.
REFERENCES
Bernard, A., Tichkiewitch, S., 2008. Methods and tools for
effective knowledge life-cycle-management. Springer:
Berlin.
Doumeingts, G., Ducq, Y., Vallespir, B., Kleinhans, S.,
2000. Production management and enterprise
modeling. Computers in Industry 42(2-3): 245-263.
Gravemeier, V., Wall, W. A., 2008. A space–time
formulation and improved spatial reconstruction for
the “divide-and-conquer” multiscale method.
Computer Methods in Applied Mechanics and
Engineering 197(6-8): 678-692.
Labrousse, M., 2004. Proposition of a unified conceptual
model for the dunamic enterprise knowledge
management. PhD. thesis, Ecole Centrale de Nantes,
France .
Lester, N., Zobel, J., Williams, H., 2006. Efficient online
index maintenance for contiguous inverted lists.
Information Processing & Management 42(4): 916-
933.
Merlo, C., Girard, P., 2004. Information system modelling
for engineering design co-ordination. Computers in
Industry 55(3): 317-334.
Nagalingam, S. V., Lin, G. C. I., 2008. CIM—still the
solution for manufacturing industry. Robotics and
Computer-Integrated Manufacturing 24(3): 332-344.
INTEGRATION OF KNOWLEDGE MANAGEMENT IN PRODUCT DESIGN PROCESS
341