Single server queueing system in retrial is investigated, as well optional re-service,customer search and delayed repair. Furthermore, the permitted to take a vacation under Modified Bernoulli vacation. In this model, some of customer’s seek voluntary reservice for identical service taken, dissatisfied with first attempt without entering group (probability r1) or leaving area 1 – r1). The faili...

This paper considers the equilibrium balking behavior of customers in a single-server Markovian queue with variable vacation and interruption, where server can switch across four states: vacation, working idle period, busy period. Once becomes empty, commences slows down its service rate. However, this period may be interrupted anytime by interruption. Upon completion takes probability-based ma...

We consider a production control problem in a manufacturing system with failure-prone machines and a constant demand rate. The objective is to minimise a discounted inventory holding and backlog cost over an infinite planning horizon. The availability of the machines is improved through a corrective maintenance strategy. The decision variables are the production and the machine repair rates, wh...

nowadays, software cost estimation (sce) with machine learning techniques are more performance than other traditional techniques which were based on algorithmic techniques. in this paper, we present a new hybrid model of multi-layer perceptron (mlp) artificial neural network (ann) and ant colony optimization (aco) algorithm for high accuracy in sce called multilayer perceptron ant colony optimi...

This paper deals with the transient analysis of batch arrival retrial queueing system with general retrial times, priority service, balking, second optional service, Bernoulli vacation, extended vacation, breakdown, delayed repair and stand by server. Here we assume that customers arrive in batches according to compound Poisson processes, where the blocked customers either with probability p jo...

We consider a single stock point for a repairable item. The repairable item is a critical component that is used in a fleet of technical systems such as trains, planes or manufacturing equipment. A number of spare repairables is purchased at the same time as the technical systems they support. Demand for those items is a Markov modulated Poisson process of which the underlying Markov process ca...

We consider in this paper an M/G/1 type queueing system with the following extensions. First, the server is unreliable and is subject to random breakdowns. Second, the server also implements the well-knownN-policy.Third, instead of a Bernoulli vacation schedule, the more general notion of binomial schedule withK vacations is applied. A cost function with two decision variables is developed. A n...

This study derives the optimal run time for a production system with random defective rate and Poisson breakdown. In a real-life manufacturing system, generation of defective items and machine failures are inevitable. With the purpose of addressing these practical issues, this study examines a production system that has random defective items produced, and it also is subject to an equipment fai...

Condition-Based Maintenance (CBM) optimization using Proportional Hazards Model (PHM) is a kind of maintenance optimization problem in which inspections of a system relevant to its failure rate depending on the age and value of covariates are performed in time intervals. The general approach for constructing a CBM based on PHM for a system is to minimize a long run average cost per unit of time...

In this paper, the operating characteristics of an 1 / /G M X queueing system with unreliable server and single vacation are analyzed. The server is subjected to fail, while it is on, and the arrival rate depends on the up and down states of the server. The time to failure is exponentially distributed and the repair times follow general distribution. Server is assigned to a secondary job (vacat...