MAP/PH/1 Üretim Envanter Modeli

Author:

ÖZKAR Şerife1

Affiliation:

1. BALIKESİR ÜNİVERSİTESİ

Abstract

In this study, a production inventory model with phase type service times where customers join the system occur according to a Markovian arrival process is discussed. When the inventory level is positive, if an arriving customer finds the server idle gets into service immediately. Served customer leaves the system and the on-hand inventory is decreased one unit of item at service completion epoch. Otherwise, the customer enters into a waiting space (queue) of infinite capacity and waits for get served. The production facility produces items according to an (s,S) policy. The production is switched on when the inventory level depletes to s and the production remains on until the inventory level reaches to the maximum level S. Once the inventory level becomes S, the production process is switched off. Applying the matrix-geometric method, we carry out the steady-state analysis of the production inventory model and perform a few illustrative numerical examples includes the effect of parameters on the system performance measures and an optimization study for the inventory policy.

Publisher

Uludag University Journal of the Faculty of Engineering

Subject

General Medicine

Reference23 articles.

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2. 2. Baek, J.W. and Moon, S.K. (2014) The 𝑀/𝑀/1 queue with a production-inventory system and lost sales, Applied Mathematics and Computation, 233, 534-544. doi.org/10.1016/j.amc.2014.02.033

3. 3. Baek, J.W. and Moon, S.K. (2016) A production-inventory system with a Markovian service queue and lost sales, Journal of the Korean Statistical Society, 45, 14-24. doi.org/10.1016/j.jkss.2015.05.002

4. 4. Barron, Y. (2022) The continuous (𝑆, 𝑠, 𝑆𝑒 ) inventory model with dual sourcing and emergency orders, European Journal of Operational Research, 301, 18-38. doi.org/10.1016/j.ejor.2021.09.021

5. 5. Chakravarthy, S.R. (2001) The batch Markovian arrival process: a review and future work. In: Krishnamoorthy, A., Raju, N. and Ramaswami, V. (eds) Advances in probability and stochastic processes. Notable, New Jersey, 21-49.

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