PHASE TYPE SERVICE WITH DIFFERENT SERVICE RATES.

Abstract

Customers arrive in a Poisson process at a single-server queuing system and demand a fixed number of phases of service, each phase requiring a negative exponentially distributed time with different parameters. This system is analyzed by considering the bivariate Markov process (Q(t), R(t)) where Q(t) is the queue-length and R(t) the number of residual service phases of the customer at time t. The non-Markovian process (Q(t)) is the marginal of this bivariate process.

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1966
Accession Number
AD0652396

Entities

People

  • Atma P. Lalchandani

Organizations

  • Cornell University College of Engineering

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Markov Processes
  • Mathematics
  • Residuals

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Powder metallurgy of Titanium alloys.