Chapter 4 Sreekanth BPR
Chapter 4 Sreekanth BPR
Chapter 4 Sreekanth BPR
The steps involved in BRP and how they are closely related to ERP
implementation
1. Preparation
The drive behind the need for BPR is to implement an ERP system to help
improve customer service, streamline current processes, reduce costs and address
Business
Operation
Visualize
Rule
Progress
Visualize
Result
2. Visualization of progress
To make it possible to grasp the current situation of the operations which are
being processed based on the Business process diagram or Business manuals.
Specifically, it is to be able to detect delays, mistakes and workload of staff on
each and operation in real time
3. Visualization of result
To understand the result of completed operations. Being able to review the
way past operations were processed. For example, to be able to check the number of
processes during a certain period, or the average time to carry out the process.
BPM activity includes the following three activities.
For the visualization of business process the following must be provided in order:
Visualization
of
business
rule,
Visualization
of
business
progress,
Visualization of business result. And based on the finding of these three views, each
visualization will be repeated again and again.
The cycle of the visualization of the three aspects of business, and the cycle of three
steps of BPM activity do not necessarily have a one-to-one correspondence. The
following figure shows the similarities among them.
Cycle of
Visualization of
business process
Cycle of BPM
Rule
Definition of
problem
Progress
Execution
Result
Analysis
A process approach in simulation modeling terminology relates to a timeordered sequence of interrelated events which describes the entire experience
A frame work for carrying out business process simulation consists of the
following steps;
Step 1- Defining modeling objectives
Once it has been decided to use simulation for business process modeling, it
has to be decided what the required outcome of modeling is and which information
the model should provide.
Step 2- Deciding on modeling boundaries
In this stage, it has to be decided which processes should be incorporated in
the model. This determined on the basis of the importance of certain processes or a
needed to redesign insufficient processes and on the basis of the suitability of
particular processes to be captured in a simulation.
Step 3- Data collection and analysis
Depending on the scale of modeling, a certain amount of important data about
the processes being modeled needs to be collected and analyzed in order to be
incorporated in a model. Data is usually collected through discussions with experts
and particularly with people involved in the processes and through studying
documentation about processes.
Step 4- Business process simulation model development
Once the relevant data about the business processes is collected and analyzed,
a simulation model is developed using a simulation software packages. This should be
done through an iterative process where a simple model is initially developed, which
is then expanded and redefined until an acceptable model is obtained.
Step 5- Model testing
After each iterative step in the model development, model in progress
should be thoroughly tested using as many model verification techniques as feasible.
Step 6- Model experimentation
After acceptable testing, experimentation with model can commence. Formal
experimental design seems to be appropriate where there are a number of alternative
ways of performing the same process. General rules related to the design experiments
include;
organizational units.
The experiments should be as simple as possible.
A sound statistical analysis should be applied without making unrealistic
assumptions related to the nature of business processes.
Advantages of prototyping
There are many advantages to using prototyping in business processes they
are:
Disadvantages of prototyping
Insufficient analysis
The focus on a limited prototype can distract developers from properly
analyzing the complete project. This can lead to overlooking better
solution preparation of incomplete specifications or the conversion of