Abstract: In this paper, we consider a single-server infinite(finite-) buffer bulk-service queues. The interarrival and service times are respectively, arbitrarily and exponentially distributed. The customers are served by a single server in accessible or non-accessible batches of maximum size ‘ b ’ with a minimum threshold value ‘ ’. We provide a recursive method, using the supplementary varia...

This paper presents the analysis of a finite buffer renewal input queue wherein the customers can decide either to join the queue with a probability or to balk. The service process is Markovian service process (MSP ) governed by an underlyingm-state Markov chain. Employing the supplementary variable and embedded Markov chain techniques, the steadystate system length distributions at pre-arrival...

Consider the GI/GI/1 queue with the Last-Come First-Served Preemptive-Resume service discipline. We give intuitive explanations for (i) the geometric nature of the stationary queue length distribution and (ii) the mutual independence of the residual service requirements of the customers in the queue, both considered at arbitrary time points. These distributions have previously been established ...

nowadays a growing number of implementing informationtechnology service management (itsm) frameworks proves the trends toimprove the it services and processes in organizations. in order toimplement an itsm projects successfully in an organization, it isessential to select a suitable itsm solution. evaluation and selection ofthe itsm software packages is complicated and time consuming decisionma...

The rationale behind service oriented computing is to lift inter-organisational integration on a higher level of effectiveness and efficiency. E-services promise to offer means for floating modularisation of arbitrary organisational assets into components that can be dynamically offered, discovered, negotiated, accessed and composed in an open environment. From a technical point of view electro...

In this paper we develop a multi-objective model to optimally control the lead time of a multistage assembly system. The multistage assembly system is modeled as an open queueing network, whose service stations represent manufacturing or assembly operations. The arrival processes of the individual parts of the product, which should be assembled to each other in assembly stations, are assumed to...