|New Link of Simulation and Gaming Lab|
|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