This paper provides an overview of the historical evolution of reliability in the scientific area
of operations research. Historical views and future perspectives are specifically offered with …

Motivated by a real failure dataset in a two-dimensional context, this paper presents an
extension of the Markov modulated Poisson process (MMPP) to two dimensions. The one …

In this paper we analyze the well-known 'Anonymous bank'call center dataset from a
queueing science viewpoint. For this purpose, fitted distributions for both the inter-arrival and …

Abstract The Batch Markov Modulated Poisson Process (BMMPP) is a subclass of the
versatile Batch Markovian Arrival Process (BMAP) which has been proposed for the …

We consider a Markovian queueing model with abandonment where customer arrival,
service and abandonment processes are all modulated by an external environmental …

In this article we consider an aggregate loss model with dependent losses. The loss
occurrence process is governed by a two-state Markovian arrival process (MAP 2), a Markov …

This paper studies in detail different problems concerning the identifiability of the non-
stationary version of the MAP 2. First, a matrix-based methodology to build equivalent …

In this paper we analyze the well-known “Anonymous bank” call center dataset from a
queueing science viewpoint. For this purpose, fitted distributions for both the inter-arrival and …

Abstract The Batch Markov Modulated Poisson Process (BMMPP) is a subclass of the
versatile Batch Markovian Arrival process (BMAP) which have been widely used for the …

The batch Markov‐modulated Poisson process (BMMPP) is a subclass of the versatile batch
Markovian arrival process (BMAP), which has been widely used for the modeling of …