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As
one of the leading simulation companies in Germany we apply Discrete Event Simulation, System Dynamics, and Agent-Based Modeling
as a decision support tool to a wide variety of industrial fields. More and more
companies are recognizing that only the stringent application of simulation will
be able to efficiently support the planning and operations of their production
and logistics systems. And here a one-time modeling and simulation effort is not
the solution to complicated and urgent problems. The simulation model should rather
be utilized along the complete life cycle of the system and be used on a regular
basis to be available at any time as a decision support tool for planning, operations
and control. Only within this approach simulation will deliver it's added value.
Due to ongoing globalization, companies in all industrial branches today
have to focus on the following requirements:
The benefits that will be shown through the systematic application
of Discrete Event Simulation as a decision support tool can, for example, have
the following features:
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| Maximization of throughput | | Reduction
of cycle times | | Optimization
of product mix | | Reduction
of operator headcount | | Improvement
of delivery performance | | Maximization
of equipment utilization | | Accurate
dimensioning of buffer sizes | | Optimization
of production control strategies (Push versus Pull) | | Risk-reduction
and justification of capital investment |
| Evaluation of Business Stratgies |
| R&D Project Management and Optimization of Project Planing |
| Customer Relationship Management and Portfolio Optimisation |
| Risk Assessment and Quantification and Predictive Analysis |
| Urban and Population Dynamics and Financial Market Simulation |
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The success of any simulation project strongly depends on a stringent
project management. The typical phases of a simulation project are as follows:
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| Discussion and project definition with our
customerobjectives/targets) | | Compiling
basic data essential to defining the functional specifications of the simulation
project | | Extensive
data collection | | Model
development | | Model
verification | | Model
validation | | Computer
experiments and "What-if" scenarios | | Recommendations
and final report | | If
required, system integration of the Discrete Event Simulator and model into the
customer's IT landscape | | |
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SAT Simulations- und Automations-Technologie AG has a broad and
successful record in the efficient and successful modeling, simulation and optimization
of complex systems. Our aim is to improve the overall performance of our customer's
business processes by increasing productivity, reducing costs and improving the
overall efficiency of the system being simulated and analysed.
At SAT
Simulations- und Automations-Technologie AG we want to make our customers more
competitive by providing the systematic application of the most advanced simulation
and automation technologies for decision support in design, production, logistics,
and business processes.
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