1999•International Journal of Production ResearchRequires access

A process modelling framework for AGV control

Soumitra. Basu, S. P. Dutta, Walter P. T. North

Open publisher page 2 citations

Abstract

The control of handling equipment in a distribution centre is vital to overall control of the material handling process. A unified equipment and process modelling approach is adopted in this paper. The influence of automated guided vehicle (AGV) velocity and positioning control on the time needed to perform a material handling task, and the AGV service time are investigated. The salient features of this research are: modelling intelligent material handling in a distribution centre considering the effect of dynamic constraints on the velocity profiles of an automated handling equipment (a sideload forklift AGV); modelling and simulating controlled vision-based positioning of an AGV; and simulating the process model and drawing conclusions about the possible benefits of autonomous material handling.

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What this paper is about

The control of handling equipment in a distribution centre is vital to overall control of the material handling process. A unified equipment and process modelling approach is adopted in this paper. The influence of automated guided vehicle (AGV) velocity and positioning control on the time needed to perform a material handling task, and the AGV service time are investigated. The salient features of this research are: modelling intelligent material handling in a distribution centre considering the effect of dynamic constraints on the velocity profiles of an automated handling equipment (a sideload forklift AGV); modelling and simulating controlled vision-based positioning of an AGV; and simulating the process model and drawing conclusions about the possible benefits of autonomous material handling.

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Available abstract

The control of handling equipment in a distribution centre is vital to overall control of the material handling process. A unified equipment and process modelling approach is adopted in this paper. The influence of automated guided vehicle (AGV) velocity and positioning control on the time needed to perform a material handling task, and the AGV service time are investigated. The salient features of this research are: modelling intelligent material handling in a distribution centre considering the effect of dynamic constraints on the velocity profiles of an automated handling equipment (a sideload forklift AGV); modelling and simulating controlled vision-based positioning of an AGV; and simulating the process model and drawing conclusions about the possible benefits of autonomous material handling.

Key concepts: Automated guided vehicle, Material handling, Process (computing), Engineering, Task (project management), Salient, Control (management), Control engineering

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