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Tandem Configurations for Automated Guided Vehicle Systems and the Analysis of Single Vehicle Loops

BOZER, YAVUZ A., SRINIVASAN, MANDYAM M.·1991·IIE Transactions

Abstract

Automated Guided Vehicle (AGV) systems continue to play a significant role in many low to medium flow manufacturing operations, including Flexible Manufacturing Systems (FMS) and other applications. The relatively inexpensive guidepath, coupled with the high degree of flexibility and control offered in vehicle routing, has made AGV systems a proven and viable handling technology for the 90's. Traditionally, AGV systems have been implemented and analyzed assuming that every vehicle is allowed to visit any pick up/deposit point in the system. We introduce a conceptually simple and intuitive approach where the system is decomposed into non-overlapping, single-vehicle loops operating in tandem. In this paper, we also develop an analytical model to study the throughput performance of a single vehicle loop. The resulting expressions are the first closed form analytical expressions that have been obtained to determine the throughput capacity of a single vehicle operating under a specific dispatching rule in a non-deterministic environment.

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Metadata

Authors
BOZER, Y. A., & SRINIVASAN, M. M.
Venue
IIE Transactions
Published
1991-03
Volume
23
Issue
1
Pages
72-82
ISSN
  • 0740-817X (ISSN-L)
  • 1545-8830
OpenAlex
W2059878106
Cited by
173
References
0
FWCI
17.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Tandem Configurations for Automated Guided Vehicle Systems and the Analysis of Single Vehicle Loops. https://app.cochat.ai/papers/10.1080/07408179108963842
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BOZER, Y. A., & SRINIVASAN, M. M. (1991). Tandem Configurations for Automated Guided Vehicle Systems and the Analysis of Single Vehicle Loops. IIE Transactions. https://doi.org/10.1080/07408179108963842

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.