Virtual Laboratory for Simulation and Gaming

Developed by : Dr. B. Mahanty, Institute : Indian Institute of Technology Kharagpur

New Link of Simulation and Gaming Lab
http://vlabs.iitkgp.ernet.in/gs/
Dynamics of quality fluctuations of an electronic product in a buyer's market
This simulation experiment is developed as a learning tool with the help of a System Dynamics based Game. Explanatory power of system dynamics is demonstrated in this game.
Simulation of auction markets
This simulation experiment is developed to describe the purpose and importance of auctions in real life and to understand the phenomena of winner's curse, risk-reward dependence, and bidder competition.
An illustration of Monte-Carlo Simulation in project invesments
Monte Carlo simulation is a form of simulation that randomly generates values for uncertain variables over and over to simulate a model. It is a problem solving technique used to approximate the probability of certain outcomes by running multiple trial.
Decision making in Production Distribution Systems using simulation
This simulation experiment is developed to explore the Success of the companies depends upon how efficiently the production and the distribution are integrated to pursue the final goal.
Simulation of organizational procurement
This simulation experiment is developed to describe the policy of desired SERVICE LEVEL, policy of MAXIMUM TOTAL PURCHASE COST, policy of MINIMUM ORDER ALLOCATION in the field of organizational procurement.
Modeling inventory decisions through simulation
This simulation experiment is developed to understand the purpose and importance of Inventory decision making and the trade-offs in the "News-vendor" inventory model.
Supply chain coordination through contracts
Supply chain coordination
Demonstration of bullwhip effect in multi-echelon supply chain
Bullwhip effect using system dynamic model is basically discrete and dynamic simulation.
A simulation model to illustrate limits to growth system archetype
Limits to growth system archetype
Modeling supply chain risks using simulation
supply chain risks using simulation
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