Application of Simulation Techniques

In the present work, we provide a simulated inventory model incorporating multiple stochastic factors affecting an inventory model. This can provide solutions to managerial problems faced by retailers that have been addressed through the Single period problem (SPP) models. For a time dependent SPP with multiple discounts of random amounts at random time points, we consider a model wherein the factors demand rate, lead-time, number of discounts during a season, discount rates, time epoch at which a new discount rate is offered are stochastic. We provide solution procedures as pseudo algorithms for simulating near optimal order quantity and estimate of rate of price decline as well as optimal values of order quantity and total expected profit for a given value of initial selling price. Illustrative examples are presented in order to enable the researchers to be able to apply the methodology explained. The technique for estimating the probability that a business system shall be profitable or be a loss venture is demonstrated using numerical example.