The simulation model you are going to create would be a 'what-if' sort of experiment of the process that you will perform before it goes live into production. With the outcome of simulation results, you can analyze the different bottlenecks and can perform certain measures to reduce process cost to the business.
With a process simulation model, you can configure process settings. You will first create a table specifying what the process settings for different activities of the SalesToContract process would be.
Duration defines the time an activity takes to complete. It defines the distribution type, say constant, uniform, exponential, normal, and real. You will use normal distribution, which uses Gauss Bell distribution. This determines how long an activity takes to complete. You have to enter mean period and standard deviation when prompted.
Cost specifies the cost of processing the activity. For User tasks, it also specifies the cost of the resources assigned to the User task. Cost could be fixed base cost or fixed base cost with resource cost added into it. This is calculated based on the defined cost per hour and the time it takes for the resource to execute that task. Generally, this is enabled for User task.
Resources specify the number of participants assigned to a particular role. You can define this parameter in the simulation model or at a global project level in the project simulation definition.
Queue defines the simulated behavior of how process instances are queued for a given activity. It defines the Queue Size, which is the number of instances that can wait for an activity simultaneously, and Queue Info, which enables you to configure the simulated behavior of how the process instances are picked from the queue FICO, LIFO, by priority, or randomly.
Sequence flows determine the probability percentage of instances routed through the different outgoing sequence flows. Move the slider to specify the probability of occurrence of each outgoing sequence flow.
In this section, you will define a simulation model:
SalesToContractSM
as Model name.100
, as you assume that 100 Quote requests will get generated on every working day.5
minutes as the frequency of process instance creation.
Activity |
Duration |
Resources |
Cost |
Queue |
Flow |
---|---|---|---|---|---|
Initialize Quote |
Normal-10 sec, 3 sec |
- |
Fixed - $0 |
1 |
- |
Enter Quote |
Normal-30 min, 3 sec |
5 |
Fixed + Resource - $50 |
2 |
- |
CustomerCheck |
Normal- 3 sec, 3 sec |
- |
Fixed - $0 |
1 |
- |
CheckCustomer Type
|
Management Approval Flow - 0.2 DiscountCheck - 0.8 (You can assume that the probability of a 'New' Customer is 0.2.) | ||||
Management Approval |
Normal- 30 min, 3 sec |
6 |
Fixed + Resource - $300 |
1 |
- |
CustomerCheck Outcome |
Enter Quote - 0.2 DiscountCheck - 0.8 (Assuming only 20 percent of the cases go back for Reviews.) | ||||
DiscountCheck |
Normal- 3 sec, 3 sec |
- |
Fixed - $0 |
1 |
- |
IsBusinessAnalyst ReviewRequired |
Business AnalystReview - 0.3 Approvers - 0.7 (Assuming 30 percent of the cases need Business Analyst Review) | ||||
BusinessAnalyst Review |
Normal- 30 min, 3 sec |
2 |
Fixed + Resource - $100 |
- | |
BusinessAnalyst Outcome |
|
EnterQuote - 0.3 Approvals - 0.7 (Assuming only 30 percent get rejected.) | |||
ApproveDeal |
Normal- 10 min, 3 sec |
1 |
Fixed + Resource - $50 | ||
ApproveTerms |
Normal- 10 min, 3 sec |
1 |
Fixed + Resource - $50 |
- |
- |
ApproversOutcome |
- |
- |
- |
- |
EnterQuote - 0.3 Finalize Contract - .7 (Assuming 70 percent of the quotes move for finalization.) |
Contract Finalize |
Normal- 20 min, 3 sec |
1 |
Fixed + Resource - $100 | ||
Save Quote |
Normal- 5 min, 3 sec |
1 |
Fixed + Resource - $50 |
You have assumed that this is the Cost meant for 1 day for the process.
Simulation models allow you to simulate the behavior of an individual process. Here, you have defined the activities parameters. They enable you to define how a process behaves as part of a simulation definition. You can define multiple simulation models for each process, creating different simulations based on different combinations of resource allocation and activity behavior.
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