|
|
| |
| |
Metastorm ProVisionBPA Modelers-Process Analysis
Timing Analysis
Metastorm ProVision’s Timing Grids provide the details of the durations incurred by each activity in the scenario. This data can be analyzed to determine the steps in the process where the greatest amount of time is consumed. Also, this detailed data reveals whether the scenario's time is incurred as transit time, in-queue time, out-queue time, delay time, or productive work time.
Data in timing grids can also be shown graphically in Timing Charts. These charts provide a clear-cut view of the timing data so durational aspects of activities can be compared.
Cost Analysis
Costing Charts and Grids provide the details of the costs incurred by each activity in a business process (both the Monte Carlo and Discrete Event simulators provide these capabilities). This data can be analyzed to determine the steps in the process where the greatest amount of expense is incurred. Also, this detailed data reveals whether a majority of the cost is incurred as direct costs, indirect costs, or resource costs.
Data in the Cost Grids is also reflected graphically in the complementary cost charts. These charts provide a clear-cut view of the cost data so that the expense aspects of each activity can be compared. Analytical data from the Cost Grids can be migrated to Microsoft Excel for distribution or integration with other spreadsheet applications.
State Analysis
In addition to its timing and cost analysis capabilities, ProVision's discrete event simulator excels in spotting bottlenecks in a process scenario. These bottlenecks can be the result of a number of conditions including (but not limited to) an excessive amount of entities the scenario must process, lengthy durations to accomplish the activities, limited throughput capabilities in the workflows, and/or inadequate availability of resources and commodities. In order to recognize bottlenecks, and reveal the overall efficiency of the process, ProVision details the state durations of the major process components that occurred during the simulation run. These state durations are presented in a series of grids and charts for easy analysis.
|
|
|
|
|
