Business process modeling techniques are an important step in business process management. Enables mapping of workflow so you can visually understand the process, analyse weak spots and make positive changes to that workflow or process. Using diagrams to help visualise all your business processes and workflow helps make better decisions and results.
Business process modeling can be expressed in many ways like flowcharts, programs, hypertext, or even scripts. Here are some of the most common business process modeling techniques available:
Brief overview how each each Business Process Model varies:
Easy-to-understand visualisation of how people, processes, and systems should interact. It’s not about building a huge flowchart, but a hierarchical process map, where every diagram is easier to follow. The notation is a simple box for each task to be completed using an activity box or steps with inputs and output. The box should show what happens, who the task is being assigned to, and what order it should happen.
UML diagrams are flexible and powerful way to model detailed logic and visualise almost any business process.
Flowcharts are very popular diagram because of there simplicity but offering such power with such few standard symbols which are easily understood for all business processes.
Gantt charts relate a list of processes to a time scale rather than showing the steps sequentially. Main axes are ‘time taken’ so does a better job of showing the overall time scale a process will take until completion.
Coloured Petri nets (CPN) routes in different colours
Visual representation of any process graphically represent the flow of data.
Role-oriented process model. The roles that people, teams or departments play in a process. List roles, activities & interactions.
Showing the collaborations between objects.
Function Modelling IDEF0 technique uses a box to represent functions within a process.
Support the software development process.
Repeatable pattern of activity enabling analyse and improvement in a process.
Create and analyse a digital prototype of a physical model to predict its performance.