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Simulation, capturing and analysis of human motion Seminar/Project WS15/16 Dr. Bertram Taste, Markus Metal, Dr. Gabriele Beer AG wearHEALTHOrganisational Seminar (theoretical): 4 CP 120 hours work
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How to fill out simulation capturing and analysis:

01
Begin by clearly defining the objectives and scope of the simulation. This involves identifying the specific problem or scenario you want to analyze and the desired outcome.
02
Gather all relevant data and input parameters. This may include historical data, real-time data, or expert knowledge. Ensure that the data is complete, accurate, and representative of the system or process being simulated.
03
Choose the appropriate simulation tool or software. There are various simulation software available that offer different features and capabilities. Select one that aligns with your objectives and supports the type of analysis you want to conduct.
04
Set up the simulation model by defining the system components, their behaviors, and the relationships between them. Use the software's modeling capabilities to represent the real-world system accurately.
05
Input the data collected in step 2 into the simulation model. This includes specifying the initial conditions, boundary conditions, and any external factors that may affect the simulation.
06
Run the simulation and capture the results. Monitor the simulation process to ensure it is progressing correctly and adjust any parameters if necessary. Capture relevant data, including output variables, performance metrics, and any observations during the simulation.
07
Analyze the simulation results by comparing them with the desired outcome and evaluating the system's performance. Use statistical analysis, visualization tools, and other techniques to gain insights into the system's behavior, identify bottlenecks, or test various scenarios.
08
Document the entire simulation process, including the objectives, assumptions, data sources, model setup, and analysis results. This documentation will serve as a reference for future analyses and allow for transparency and replicability.
09
Communicate the findings and insights obtained from the simulation analysis to stakeholders or decision-makers. Use clear, concise language and visualizations to present the results and support informed decision-making.

Who needs simulation capturing and analysis?

01
Engineering and manufacturing companies: Simulation capturing and analysis are crucial for designing and optimizing complex systems, such as manufacturing processes, supply chains, or transportation networks. It helps identify inefficiencies, improve performance, and reduce costs.
02
Healthcare organizations: Simulations can be used to model patient flow, emergency response, or resource allocation in hospitals. It assists healthcare providers in decision-making, capacity planning, and improving patient outcomes.
03
Government agencies: Simulation capturing and analysis play a vital role in urban planning, traffic management, disaster response, or policy-making. It enables policymakers to assess the impact of potential interventions, optimize resource allocation, and enhance public safety.
04
Research and development teams: Simulation helps researchers and scientists simulate physical phenomena, test hypotheses, and understand complex systems. It is used in fields such as physics, biology, chemistry, and social sciences.
05
Financial institutions: Simulation can be used in risk management, portfolio optimization, and predicting market behavior. It assists banks, insurance companies, and investment firms in making informed decisions and managing uncertainty.
06
Educational institutions: Simulation capturing and analysis are often part of engineering, business, or management programs. It helps students gain hands-on experience, develop critical thinking skills, and understand real-world problems.
In summary, simulation capturing and analysis can benefit a wide range of industries and sectors. It is a powerful tool for understanding complex systems, optimizing performance, and making informed decisions.
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Simulation capturing and analysis is the process of recording and studying data from simulations to analyze performance, behavior, and outcomes.
Any organization or individual who conducts simulations as part of their work or research may be required to file simulation capturing and analysis.
Simulation capturing and analysis forms can typically be filled out online or using specific software provided by the organization or institution requiring the submission.
The purpose of simulation capturing and analysis is to improve decision-making, optimize performance, and enhance understanding of complex systems through the analysis of simulation data.
Information such as simulation parameters, results, methodologies, and any relevant observations or conclusions must be reported on simulation capturing and analysis.
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