Abstract:
Consider an inventoried item for which reduction in sales price is declared as the age of the item increases.
Decision to maintain sales price at the same level/reduce, is taken at stages 2, ··· , k − 1, k. On the
items attaining CLT, they are sold at scrap value, provided items are still left in stock. Customer arrival
forms a non-homogenous Poisson process, with rate increasing with each sales price reduction. Service
time follows exponential distribution.The items are replenished according to (S, s) policy with positive
lead time. Each stage of CLT is iid which follows a Phase type distribution with representation(α, S) of
order m. The k-fold convolution of this distribution is the CLT of the inventoried items. The problem
is modelled as a queueing-inventory problem which is a continuous time Markov chain (CTMC). The
stationary distribution of this CTMC is computed and various performance measures are discussed.
A cost function is constructed to compute the optimal order quantity and reorder level.The model is
compared with queueing inventory model in which the CLT follows Erlang Distribution of order k.