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Online Catalogue > Free Demonstrators


	Aircraft Assembly Line Demo (Std) [ Ref: BSIM-DEM-001A ] This Demonstration Model introduces some of the baseSim Simulation Components and the basic concepts underpinning their use and represents a small flow line manufacturing system; the process times etc. reflect a typical 'Aerospace Production Facility'. Uses the Standard User Interface.


Aircraft Assembly Line Demo (App) [ Ref: BSIM-DEM-001B ] This Demonstration Model introduces some of the baseSim Simulation Components and the basic concepts underpinning their use and represents a small flow line manufacturing system; the process times etc. reflect a typical 'Aerospace Production Facility'. Uses the Application User Interface.


	Automotive Supplier Demo [ Ref: BSIM-DEM-002 ] This baseSim Demonstration Model is of a two stage manufacturing process, in which different products are made-to-stock. The first stage is common to all product variants, and feeds a base stock buffer. The second stage processes are product specific; in particular, the process times for the second stage processes are independent, all being normally distributed. Product waits in the finished product buffers until a customer demand for that product is received. The primary motivation behind the model is to show how an inventory system can be rapidly modelled, predominantly using default component behaviours.


Customer Services Demo [ Ref: BSIM-DEM-003 ] This baseSim Demonstration Model is of a Customer Services Department of a High Street shop (such as a Bank). The question for the Customer Services Manager is how many staff members (service counters) does he/she need in order to serve the most number of Customers. Obviously, simply increasing the staffing level indefinitely is impractical because of high staffing costs and the constant pressure to decrease staff numbers. An other option left open to him/her is to reduce the time it takes to open a New Account. This model will allow the Customer Services Manager to simply, quickly and easily try out various staffing/process time configurations in order to help him/her with their business decisions.


	Travelling Salesman Demo [ Ref: BSIM-DEM-004 ] This baseSim Demonstration Model represents a number of cities that a Travelling Salesman must visit, in order to carry out his job. The Salesman must visit each city just once and the question is 'what is the most efficient order for visiting, in order to minimise the total distance travelled?' This model demonstrates how, using Getenetic Algorithms, a good (or perfect) solution may be found. It also highlights what effect each of the GA parameters has on solving the problem (and in what timeframe).


PC Manufacturer 3D Demo [ Ref: BSIM-DEM-005 ] This baseSim Demonstration Model represents a PC Manufacturing Unit. The Unit has 3 main processes, namely... Loading the Operating System System Burn in test Final Testing Also, the model represents 3 workers who are operating on a simple shift mechansim. This demonstration highlights a key benefit of the 3D interface over the 2D equivalent i.e. clearly display the 'height' dimension. The PC's are stacked 4 high on the testing 'racks', which is more difficult to represent using 2D alone.


	Call Handling Centre Demo (Pro) [ Ref: BSIM-DEM-006A ] This Demonstration Model represents a simplified and generic Call Handling Centre. Calls, of different types (complexities) arrive at the ACR (Automated Call Router) based on an arrival profile schedule. These calls are then routed to an appropriate Operator who can answer calls of that type. One of the key metrics examined by the Model is the 'Cumulative Time to Answer' percentage e.g. a call Centre may require that 95% of calls are answered within 1 minute. The Model allows experimentation by changing the number of Operators, Shift Patterns etc. in order to examine the effect on this metric. Uses the Professional User Interface.


Call Handling Centre Demo (App) [ Ref: BSIM-DEM-006B ] This Demonstration Model represents a simplified and generic Call Handling Centre. Calls, of different types (complexities) arrive at the ACR (Automated Call Router) based on an arrival profile schedule. These calls are then routed to an appropriate Operator who can answer calls of that type. One of the key metrics examined by the Model is the 'Cumulative Time to Answer' percentage e.g. a call Centre may require that 95% of calls are answered within 1 minute. The Model allows experimentation by changing the number of Operators, Shift Patterns etc. in order to examine the effect on this metric. Uses the Application User Interface.

Online Catalogue > Free Demonstrators

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