Anbazhagan N
Stochastic Inventory Modleing Stochastic inventory modeling Decision Sciences Operations Research Management Science Methods Continuous-time Markov chain Supply Chain and Inventory Management Inventory control Stochastic control Stochastic optimization Stochastic modelling Industrial and Manufacturing Engineering Management Information Systems

Bio

Dr. N. Anbazhagan is a faculty member in the Department of Mathematics at Alagappa University, Karaikudi, Tamilnadu, India. Holding a Ph.D. in Stochastic Inventory Modeling, his research centers on inventory systems, perishable goods, and joint ordering policies within the fields of Decision Sciences and Operations Research. He has authored papers such as "Analysis of inventory system with three stages of deterioration" and "Two-Commodity Inventory System for Base-Stock Policy with Service Facility." Additionally, he serves as a reviewer for the Global Journal of Science Frontier Research, contributing his expertise to mathematical modeling in inventory management.

Educational Journey

Ph.D

Experience

0 - 0 • Mathematics

Research

Two-Commodity Inventory System for Base-Stock Policy with Service Facility

Article December 10, 2012

This article considers a two-commodity continuous review inventory system at a service facility, wherein an item demanded by a customer is issued after performing service on the item. The service facility is assumed to have a finite waiting hall. The arrival time points of customers form a Poisson process. A customer with probability p and a negative customer with probability q = ( l – p ) , ( 0 ≤ p ≤ l ) .An ordinary customer, on arrival, joins the queue and the negative customer does not join the queue and takes away one waiting customer if any. The life time of each item and service time are assumed to have independent exponential distribution. The joint probability distribution of the number of customers in the system and the inventory level is obtained in the steady state. Various system performance measures in the steady state are derived. The results are illustrated numerically.