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It also helps standardize the employee's workflow through simulation builder and overcome personal limitations, bias, outdated training methods, and ineffective communication.
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What is Simulation Builder? The ETU simulation builder is a cloud-based authoring environment for custom simulation development. AI build tools ensure quality simulations every time. Measurement built-in ensures you capture the skills and behavior data you need.
Uses of Simulation Builder: Simulations can be used to tune up performance, optimise a process, improve safety, testing theories, training staff and even for entertainment in video games! Scientifically modelling systems allows a user to gain an insight into the effects of different conditions and courses of action.
Phases of Simulation Builder: Step 1: Identify the Problem : If an inventory system is being simulated, then the problem may concern the determination of the size of order (number of units to be ordered) when inventory level falls up to recorder level (point). Step 2 : i) Identify the Decision Variables ii) Decide the Performance Criterion (Objective) & Decision Rules For example, demand lead time and safety stock are identified as decision variables in inventory problem. These variables shall be liable to measure the performance of the system in terms of total inventory cost under the decision rule - when to order. Step 3 : Construct a Numerical Model : Construct a model which is possible to be analysed on the computer. Sometimes the model is written in a specific simulation language which is suitable for the given problem under analysis. Step 4 : Design the Experiments : Design the experiments with the, help of simulation builder model by listing particular values of variables to be tested (i.e. list of courses of action for testing) at each trial (run). Step 5 :Run Simulation Model : For obtaining the results in the form of operating characteristics run the model on the computer. Step 6 : Examine the Results in Terms of Problem Solution : Results are examined as well as their reliability and correctness. Best course of action is selected after completing the simulation process otherwise desired changes are done in model decision variables parameters or design, and return to step 3. Read more- Common Misconceptions About Competency Management System Software