![](bg5.png)
4 BPR CASE RETRIEVAL
The retrieval algorithm relies on the indices set in
the previous section to direct the search to
potentially useful cases. As shown in the case
indexing, the current process and the problems those
need to be addressed (reducing costs, improving the
quality, etc.) are known, a consultant might whish to
know whether similar processes with similar
problems have been already redesigned. He might
wish to find out which best practices rules have been
applied to solve that problem and the technical and
organisational solutions adopted in that previous
case. In this instance, the inductive algorithm with
BPR solution as its and business context (business,
are, business sub area) and goals and targets indices
are used to retrieve the rules as shown in Figure 5
below. However, in the situation where the
consultant has already an idea about some rules he
wished to apply but he is not sure about the impact
of applying them, or he wants ideas about possible
adopted solutions. The nearest neighbour algorithm
uses the best practice rules and the context of the
business process as indexes to retrieve business
process solution applied in similar business
processes, with a similar problem and similar rules
applied.
Figure 5: Retrieval process and the explanation path
5 CONCLUSION
In this paper we have presented the use of case-
based reasoning for the reuse of previous business
process redesign to design or improve an existing
business process (sharing and adapting previous
practices). This includes collecting the knowledge
and storing it into the case base and making it
available do that knowledge about BPR is shared,
adapted and applied to new situations. This is a
novel approach to BPR and has not been explored
before. We have demonstrated through case
representation, case indexing and retrieval that
applying CBR is possible for BPR implementation
and would benefit business process re-designers.
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