tailieunhanh - Stochastic inventory models with reworks

In this paper, two stocks, for fresh and the returned things, are considered for the efficient stock management. Hence, we give two models: The first is for nonperishable and the second for perishable things. In addition, inventories kept in the stock may lose their fairly estimated worth, which we additionally viewed in model-II, for example, PC and versatile embellishments, or most current engine autos. | Yugoslav Journal of Operations Research 28 (2018), Number 4, 567–578 DOI: STOCHASTIC INVENTORY MODELS WITH REWORKS Mohammad EKRAMOL ISLAM Professor, Northurn Univesity Bangladesh, Dhaka-1209, Bangladesh meislam2008@ M. Sharif UDDIN Professor, Department of Mathematics, Jahangirnagar University, Saver,Dhaka-1342, Bangladesh msharifju@ Mohammad ATAULLAH Assistant Professor of Mathematics, DSHE,Ministry of Education,Dhaka-1000, Bangladesh ataul26@ Received: September 2017 / Accepted: October 2018 Abstract: In this paper, two stocks, for fresh and the returned things, are considered for the efficient stock management. Hence, we give two models: the first is for nonperishable and the second for perishable addition, inventories kept in the stock may lose their fairly estimated worth, which we additionally viewed in model-II, for example, PC and versatile embellishments, or most current engine autos. In model-II, the stock decay (a loss of significant worth) in a steady rate θ is chosen arbitrarily. Though the models are more fitting where guarantees are accommodated to a settled time length after the deal for new things was made, they can be used to separate characteristics of a stock system for a broad scale production is expected that the stock level for both new and the returned things are pre-decided. When the stock level scopes at the re-order point s, a request for renewal is put with parameter γ for new things. The requests for both new and the returned things take after the Poisson process with parameter λ & δ, respectively. Service will be given according to Poisson process for returned things with parameter µ. The joint probability distribution for both returned and new things are derived in the steady state examination. A few system characteristics of two models are inferred here and the outcomes are outlined, based on some numerical cases. 568 , , .