Change is costly, especially if you are using assumptions that cannot be accurately tested prior to implementation. You may use multidisciplinary teams with subject matter experts to produce process changes, but even these experts cannot produce mistake-proof results. These shortcomings can lead to quasi-effective pilot programs and shifting of roadblocks upstream or downstream in the overall process. These trial-and-error tactics can lead to customer/patient dissatisfaction, staff dissatisfaction, and change fatigue.
Healthcare needs an easier, more quantifiable, and reusable way of visualizing current practices, analyzing potential process & policy changes, and planning the patient experience, future service lines, and new strategic directions.
Our highly skilled Lean Six Sigma trained engineers and Data Scientists can assist your healthcare organizations by dynamically testing your ideas and scenarios for cost reduction or other performance objectives in a virtual environment BEFORE they are implemented, reducing the risks of implementing costly and ineffective initiatives.
What is productive process simulation?
In general terms, the discrete event simulation of productive processes has been used in other businesses for years and have allowed complex calculations using a monte carlo method to predict the probability of outcomes without physical implementation. The complex computer simulations are a virtual representation of your current processes enabling identification of failure points and allows for proposed changes to be made in the computer simulation to forecast change outcomes.
These simulations are a faithful and dynamic copy of your system, implemented in a risk-free environment, in which different experiments can be carried out to provide an analysis of the production process. The result provides accurate predictions avoiding wasting time and resources.
How does the simulation of production processes work?
The production process simulation system works through software that digitally reproduces the existing processes for any workflow. Through high-end technologies allows designing, configuring, validating, and simulating production performance, before being put into practice in a real life.
The difference is that the impacts caused by any changes in simulated production environment will not be felt in the actual operation: it is the digital transformation of information into action. The simulation model is used to predict the probability of different outcomes when the system has random variables present.
Through the data collected, the simulation can be tuned for maximum efficiency and effectiveness. This eliminates the need for a dynamic trial and error in the physical process, improving efficiency at the lowest possible cost. In other words, simulating production processes allows evaluating the impact of changes in the real system, collaborating with decision-making, and bringing a series of benefits to organizations.
Advantages of adopting the simulation of production processes
With the adoption of the simulation of production processes, it is possible to obtain a series of advantages, such as:
- Resource optimization
- Increased productivity
- Increased customer/patient satisfaction
- Decreased change fatigue
- More accurate forecasting
- Reduction of system interruptions
- Enhanced long-term planning
- Smart innovations
- Increased asset life