Titlebook: Information Technologies and Mathematical Modelling. Queueing Theory and Applications; 22nd International C Alexander Dudin,Anatoly Nazarov

STING

On Estimation of Structural Parameters in Q-Processtinction of its trajectory in the remote future. This work is devoted to a statistical investigation of the properties of Q-processes. The purpose of our paper is to estimate the main parameter – an average number of offspring of one particle and structural parameter. Thus, we find an unbiased estim

Override

Cost Analysis in a Production Inventory System: Managing Varied Production Rates, Service Interruptiomer lost permanently. Retrial attempts for service can be made from the orbit. The system’s stability is assessed and key performance measures are defined. A relevant cost function is formulated and subjected to numerical and graphical analysis.

雪上轻舟飞过

myopia

Conference proceedings 2024ialists in probabilistic theory, random processes, and mathematical modeling as well as engineers engaged in logical and technical design and operational management of data processing systems, communication, and computer networks..

江湖郎中

assent

Conference proceedings 2024k, Russia, during December 4–9, 2023...The 23 full papers included in this book were carefully reviewed and selected from 96 submissions. The papers are devoted to new results in queueing theory and its applications, and also related areas of probabilistic analysis. Its target audience includes spec

allergen

职业拳击手

书法

A Semi-Markovian Analysis of an Inventory Model with Inventory-Level Dependent Arrival and Service Pstem are derived. The impact of interdependence between service and arrival processes, along with inventory level on the system is examined. Furthermore, a numerical analysis is also done to explain the consequences of this dependency on steady-state system characteristics.

提炼

Stochastic Analysis of a Discrete-Time Production Inventory Model Incorporating Perishable Items anddel is examined as a level independent quasi-birth-death process.We investigate the model using the Matrix Analytic Method. Furthermore, we use numerical experiments to determine the optimal (s, S) pair for the model across a range of parameter values.