Any product or service is delivered by processes, therefore documenting and improving your processes are critical susses factors to positively impact the bottom-line performance.
Business process management (BPM) is a discipline in operations management in which various methods are used to discover, model, analyze, measure, improve, optimize, and automate business processes in order to align companies around their own targets.
The power of the Digital Twins:
“Process mining is a relatively young research discipline that sits between machine learning and data mining on the one hand and process modelling and analysis on the other hand. The idea of process mining is to discover, monitor and improve real processes (i.e., not assumed processes) by extracting knowledge from event logs readily available in today’s systems.”
source: van der Aalst, Wil M. P. Process Mining Springer Berlin Heidelberg
WHY IT’S POWERFUL
The traditional method of Business Process Analysis relies on subjective information gathered through workshops and interviews. Process Mining delivers objective insights based on accurate data (event logs).
TYPICAL ANALYSIS BY PROCESS MINING
- Order to Cash
- E-2-E Operations
- Accounts Payable
- Accounts Receivable
- IT Service Management
- Customer Service
- Quote to Order
- Procure to Pay
- Application to Approval
- Fault to Resolution (Issue to Resolutions)
- Claim to Settlement…
- Prepare the data
- Scope the analysis
- Execute the mining
- Validate the discovery
- Analyse the result
- Derive the conclusion
- Improve the process
Validate the As-Is process and process performance during the discovery, identify the focus fields of improvement actions and monitor the process performance after the improvements.
Understand the impact of influencing factors on the system performance considering potential solutions in combinations with “What If…” scenarios
WHY IT’S POWERFUL
Simple and easy are not synonymous!
Multiple routes, multiple products, shared assets, different resource types, different process performances and variations, different assets’ capacities, resources’ dependency, etc… are only some of the factors to consider in order to properly analyze and improve our processes’ performances.
The discrete simulation engine behind dynamic process modelling is capable to:
- consider all the above factors
- simulate the process flow with its performance
- identify the system’s constraints
- validate solutions considering different “What if…” scenarios
- Agree upon the scope
- Understand the current reality
- Simulate the future reality
- Optimize the system
- Establish the new system
- Execute the new process
Validate the future processes, performances and assumptions meanwhile reducing the risk of failure before the real implementation at the shop floor.
The Theory of Constraints (TOC) developed by Dr. Goldratt, is a pool of Technical and Managerial techniques based on the principle that in order to improve a system, you must be focused on the governing elements – the constraint(s).
TOC adopts the common idiom “a chain is no stronger than its weakest link”
The implementation road-map – the five focusing steps:
- Identify the system’s constraint(s)
- Decide how Exploit the system’s constraint(s)
- Subordinate everything else to the above decision
- Elevate the system’s constraint(s)
- If in the previous steps a constraint has been broken, go back to step 1, but do not allow Inertia to cause a system’s constraint
We support our customers to apply the TOC in order to Be Focused, Fast and Effective!