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This model of the research and development (R&D) process in a firm. Each firm’s product has its development cost, development time, sales and market lifetime as well as predictability of those characteristics. First, a product is placed into candidate pool. Firm performs products revision every month and starts new product development whenever firm’s R&D budget allows.
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Executable aircraft fleet planning simulation model created with AnyLogic. 20 aircrafts that need regular maintenance are simulated. Play with the model to see what happens if you change the maintenance policy.
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Typical call center simulation model created with AnyLogic. Three teams of staff are simulated. Vary the quantity and skill level of tellers in each group to see how the changes influence to the statistics: mean waiting time and part of successfully processed calls.
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Interactive model of multiple call centers: you can view and modify any parameter of the whole system or an individual call center and link on the fly and watch the impact immediately.
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Airport terminal simulation model can helps to improve business processes in the airport. The idea is to model airport terminal,estimate throughput of the terminal, see how number of checkpoint influence on passengers flows etc.
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Three call centers simulation model created with AnyLogic. Vary the quantity of staff and the number of links to see what happens.
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This is an Agent Based model of a sales process in a business where clients are to be reviewed by the company: e.g. this could be insurance, banking, leasing, etc. The model helps you to examine how the skill level and size of the sales force and the credit review team affect the efficiency of the whole process.
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Billing department simulation model creted with AnyLogic. A model of a simple business process in a billing department. You can play with the bill arrival rates and resource capacities on-the-fly.
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A classical system dynamics model of interaction between the populations of lynx and hares in an isolated area. All parameters can be changed on-the-fly.
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An agent based model of interaction between the populations of lynx and hares in an isolated area. Both lynx and hares are implemented as agents (active objects) that live in 2D space. You can watch the spatial dynamics of the populations and play with model parameters on-the-fly.
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