Abstract
Risk-Based Minimum Cost Flow Model for AGVs Path Planning
Highlights
AND LITERATURE REVIEWAn Autonomous Guided Vehicle (AGV) is a driverless device being controlled by computer for handling materials and transportation for a wide range of industries
The main contribution of the paper is to consider risk cost integrated with operation time in AGVs path planning
This research proposes a framework of an AGV- based station control system, which consists of a manufacturing system for decisions of AGV dispatching selection
Summary
An Autonomous Guided Vehicle (AGV) is a driverless device being controlled by computer for handling materials and transportation for a wide range of industries. Fazlollahtabar et al [12] developed a scheduling problem of several AGVs in a manufacturing system considering the concepts of earliness and tardiness Their problem and solution approach were significant for satisfying the production/delivery cycle time. Fazlollahtabar et al [13] considered a complex problem of path planning for multiple AGVs in which a new concept of turning point was presented as a deadlock resolution approach. They showed the applicability and effectiveness of the model in a real industrial case. Due to stochastic nature of operational parameters a stochastic programming mathematical model was proposed to optimize production time and material handling cost. Reliability was included in the model as a cost function
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