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Simulation - Coggle Diagram
Simulation
Advantages
Test new hardware designs, physical layouts, transportation systems, etc., without committing resources for acquisition
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Provide bottleneck analysis, indicating areas of excessive delays in work-in-process, information flow, and materials
Understand how the system operates, rather than an individual view of how the system operates
Useful in design of new system, with "What-if" questions being answered
Increased productivity as businesses may streamline operations, automate procedures, and cut down on job completion time by adopting simulation.
Design optimization, which helps to increase performance and reduce costs
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Disadvantages
Time consuming and expensive nature, leading to skimping acts that may result in inadequate resources to build a model capable of analyzing the task at hand
Lack of flexibility and precision for certain models such as overfitting and underfitting of empirical models during a new product development phase
May be difficult to distinguish and reason if the observation is interrelated in any aspects or just pure randomness
May be challenging to interpret the output results due to the simulation input comprising mainly of random variables
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Requires special training and accumulated experience in order to master the software to build simulation models
Areas of Applications
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Military
Modeling leadership effects and recruit type in an Army recruiting station, and military requirements for non war-fighting operations
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Health Care
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Smart thinking to verify lean improvements in hospital performance and reduce overcrowding emergency room processes
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Logistics, Transportation, and Distribution
Evaluate potential benefits and strategies to improve railroad performance with planning algorithm and plan capacities with parametric modelling
Manufacturing
Production logistics and material flow – including transportation management and facility relocations or additions
Management of inventory levels, replenishment rates, batch sizes, production planning, etc.
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When is it
Appropriate
Experiment with new designs or policies prior to implementation, to prepare for possible occurring situations
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Suitable for modern systems that have complex interactions which can only be treated through simulation
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Scenarios where the effect of information, organization and environmental changes on the model's behavior can be simulated and observed
Not Appropriate
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Insufficient human and technical resources or time to process large amount of data required for simulation
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Scenarios where system and human behaviours are too complex to model or cannot be defined by simulations
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