Modeling Automated Warehouses Using Semi-Open Queueing Networks

Xiao Cai (), Sunderesh S. Heragu () and Yang Liu ()
Additional contact information
Xiao Cai: FedEx Corporation
Sunderesh S. Heragu: University of Louisville
Yang Liu: Chrysler Group LLC

Chapter Chapter 2 in Handbook of Stochastic Models and Analysis of Manufacturing System Operations, 2013, pp 29-71 from Springer

Abstract: Abstract We use semi-open queueing networks (SOQN) to model and analyze the autonomous vehicle storage and retrieval system (AVS/RS). Analyzing a complicated SOQN via computer simulation is time-consuming. Thus in this chapter, we propose two analytical methods – the state space method and the matrix geometric method (MGM), to evaluate the performance of such automated warehouses. We begin with single-class, two-stage SOQN with Poisson arrivals and exponentially distributed service times. Then, we extend the methods to single-class, multi-stage SOQN with general arrivals and service times. At the end, we discuss how to analyze multi-class, multi-stage SOQN with general arrivals and service times.

Keywords: Service Time; Arrival Process; Service Process; Interarrival Time; Parallel Server (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/978-1-4614-6777-9_2

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