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Stochastic Optimization of Local Purchase Quantities in a Geo/Geo/1 Production Inventory System

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Distributed Computer and Communication Networks: Control, Computation, Communications (DCCN 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1337))

Abstract

We consider an (sS) production inventory system in which demand occurs according to a Bernoulli process and service time follows a geometric distribution. The maximum inventory that can be accommodated in the system is S. When the on-hand inventory is reduced to a preassigned level of s due to service completion (and consequent purchase of exactly one item by each customer), production is started. The production time for each item (inter-production time) follows a geometric distribution. When the inventory level becomes zero, an instantaneous local purchase of one/s/S units is made to meet the demand. These three types of local purchases are discussed as three separate models. Using the closed-form solution obtained for the steady-state probability vector and by constructing an appropriate cost function, we compare these models with the help of a few numerical work.

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Jose, K.P., Anilkumar, M.P. (2020). Stochastic Optimization of Local Purchase Quantities in a Geo/Geo/1 Production Inventory System. In: Vishnevskiy, V.M., Samouylov, K.E., Kozyrev, D.V. (eds) Distributed Computer and Communication Networks: Control, Computation, Communications. DCCN 2020. Communications in Computer and Information Science, vol 1337. Springer, Cham. https://doi.org/10.1007/978-3-030-66242-4_17

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  • DOI: https://doi.org/10.1007/978-3-030-66242-4_17

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