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PLANET is a game developed par the Centre International de la Pédagogie d'Entreprise. Planet, the Supply Chain game, is a game for knowledge development. The participants, divided into 4 competing teams, must conquer the six areas of Supply Chain: Product, Purchasing, Planning, Production, Distribution and Sales, by answering questions. Each area can be improved by putting in place "progress": there are 5 fields. They are thus aware of the magnitude of a Supply Chain approach. Each team plays in turn, and a "wheel of fortune" controlled by the software is launched. Depending on the position of the wheel, the team has the opportunity to acquire a "progress" if it answer correctly a question relating to this progress. The standard course of the game takes 3 hours. The duration of its debriefing is approximately 2 hours.
PLANET is a game developed par the Centre International de la Pédagogie d'Entreprise.
Planet, the Supply Chain game, is a game for knowledge development.
The participants, divided into 4 competing teams, must conquer the six areas of Supply Chain: Product, Purchasing, Planning, Production, Distribution and Sales, by answering questions. Each area can be improved by putting in place "progress": there are 5 fields.
They are thus aware of the magnitude of a Supply Chain approach.
Each team plays in turn, and a "wheel of fortune" controlled by the software is launched.
Depending on the position of the wheel, the team has the opportunity to acquire a "progress" if it answer correctly a question relating to this progress.
The standard course of the game takes 3 hours. The duration of its debriefing is approximately 2 hours.
The aim of this game is to put players in a supply chain in a position of making replenishment decisions. Zach company in the chain receives orders from its customer and must replenish goods from its supplier. This game demonstrates the "Bullwhip" effect in a supply chain. Four shifts take place every day on the supply chain. There is often a phenomenon of amplification of fluctuations. The game requires no knowledge of the manipulations of the ERP and no particular teaching material. It can be implemented very simply for any audience within a limited time (3 hours). It is possible to operate up to 4 "tables" of 4 companies simultaneously (up to 48 participants). See detailled documentation
The aim of this game is to put players in a supply chain in a position of making replenishment decisions. Zach company in the chain receives orders from its customer and must replenish goods from its supplier.
This game demonstrates the "Bullwhip" effect in a supply chain.
Four shifts take place every day on the supply chain.
There is often a phenomenon of amplification of fluctuations.
The game requires no knowledge of the manipulations of the ERP and no particular teaching material. It can be implemented very simply for any audience within a limited time (3 hours).
It is possible to operate up to 4 "tables" of 4 companies simultaneously (up to 48 participants).
See detailled documentation
The stock management simulator allows to test the effect of various parameters on inventory management. The purpose of the stock simulator is to illustrate the implementation of stock management methods taught theoretically. The system simulates the (random) demand for a stock-managed item over a large number of periods. It applies the management rules whose parameters are specified. It calculates performance in terms of - Average Inventory - Stock out - Total management cost See detailled documentation The objective of the forecasting simulator is to illustrate the implementation of the predictive methods taught theoretically. The system calculates forecasts from past time series of sales. It can be used either on weekly periods or on monthly periods. The methods applied are: - Moving Average - Exponential smoothing - with trend adjustment and sesonnality adjustment. Demand history has to be entered. It calculates Mean Forecast Error, Mean Absolute Deviation and Mean Squared Error. See detailled documentation
The stock management simulator allows to test the effect of various parameters on inventory management.
The purpose of the stock simulator is to illustrate the implementation of stock management methods taught theoretically.
The system simulates the (random) demand for a stock-managed item over a large number of periods. It applies the management rules whose parameters are specified. It calculates performance in terms of - Average Inventory - Stock out - Total management cost
The objective of the forecasting simulator is to illustrate the implementation of the predictive methods taught theoretically.
The system calculates forecasts from past time series of sales.
It can be used either on weekly periods or on monthly periods.
The methods applied are: - Moving Average - Exponential smoothing - with trend adjustment and sesonnality adjustment.
Demand history has to be entered.
It calculates Mean Forecast Error, Mean Absolute Deviation and Mean Squared Error.