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MOZART Based What-If Simulation EnvironmentMOZART WISE™
MOZART WISE provides easy way to create and simulate What-If scenarios, by editing input data of MOZART based simulation models.
Users can execute What-If Simulation to assess risks of equipment failure or PM scheduling, and effects of demand changes on due dates and bottleneck processes.
It also enables users to set factors which optimize equipment schedule, using Machine Learning and other types of heuristic methods.
Key Features
Experiment Designer
Experiment Designer is a module which enables users to define KPI and factors to create static or dynamic experiment scenarios in order to provide correlation between the factors and KPI. Users can set input data and input arguments as the factors, and define KPI, such as utilization, production and set ups. Users can use expressions to define factors, or directly edit input data on the grid.
Simulation Runner
Simulation Runner is a module which enables to execute set of simultaneous and parallel scenarios, using factors and KPI which are defined in Experiment Designer module.
Data Analyzer
Data Analyzer is a module which provides analysis view which enables users to easily understand meaningful result of simulation . Basic analysis views which the module provides are analysis for correlation betweem KPI and factors and trend of KPI for each version of simulation.
Plug-Ins
MOZART WISE supports extended functions. Based on basic Designer and Runner module, It provides What-If analysis view for special purposes and optimization module in Plug-In form, so that users can easily handle various kinds of analysis.
Practical Usage
There are two main functions of MOZART WISE. Users can analyze the result of What-If simulation with the views provided by MOZART WISE,
and user can find the optimized weight of Dispatching logic with Weight Optimizer, which is embedded as Plug-In.
Click the buttons below to find out more about each function.
What-If Simulation
All about What-If Simulation
Firstly, set input data as factors which defines production conditions (Equipment Data, Demand, PM Schedule, etc).
Next, create experiment scenarios, by defining factor parameters in a form of data table or expression.
Then, define KPI that varies depending on conditions (Utilization, WIP, Production, Lead time, etc)
You will be able to see the correlation between factors and KPI from result view, depending on pre-defined factors and KPI from the scenarios.
What What-If Simulation is for?
• To forecast delayed delivery and WIP dispribution due to PM, and analyze effect of different schedule cases to schedule acceptable PM plans.
• To predict On-Time demand and equipment utilization due to increase / decrease of demands for each product.
• To assess the effect of change or addition of dispatching rules.
System Requirements
MOZART WISE will be provided to users as a client program which can run independently.
It is necessary for users to create scenarios to define What-If Simulation.
It is required to install Compatible Dll to open MOZART models or other types of models,
since MOZART WISE is a tool for execution and analysis of MOZART models under various conditions.
Below is the system configurations of MOZART WISE.
WISE Client Configuration
System Configuration with WISE Server
System Requirements
| Mozart Component | H/W specification | Project |
|---|---|---|
| WISE Server (Application Server) |
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| Mozart Studio (Development & Validation tool) |
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