chandra putra, handi (2008) Using Intelligent Vehicle Control Rules to Improve AMHS Performance in Highly Dynamic Manufacturing Environments. Masters thesis, Texas State University.

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Abstract

Automated Material Handling System (AMHS) is crucial for a 300-mm
manufacturing fab as to reduce ergonomic related problems, wafer contamination, and
wafer damage. The main purpose of the AMHS is to optimize the fabrication process by
reducing the manufacturing cycle time, and increasing equipment utilization. Researchers
have experimented with dispatching rules in order to optimize the wafers delivery in the
AMHS. However, many proposed dispatching rules cannot anticipate dynamic, and frequent changes in the environment (i.e., vehicle breakdown, tool breakdown, changing
demand, etc). Therefore, implementation of Intelligent Vehicle Control Rule (IVCR) can
be a solution in solving this problem. The purpose of this thesis is to develop an IVCR
useful in the design of vehicle-based AMHS that show statistically superior wafer
delivery time (DT), retrieve time (RT), transport time (TT), and throughput than the static
dispatching rules under tool breakdown, vehicle breakdown, number of moves, and load
priority. The first contribution of this thesis is to simulate and compare all experimented
rules (i.e. First-Encounter-First-Served [FEFS], modified Norman’s algorithm
[MODNORMAN], and IVCR) at different levels of detail. The second contribution is to
explain the superiority of IVCR against other rules. A method for analyzing its
performance and the influence of experimental factors are measured using the Design and
Analysis of Experiments.

Item Type: Thesis (Masters)
Subjects: Tesis
Tesis > Pascasarjana
Divisions: Fakultas Teknik > Teknik Perencanaan Wilayah dan Kota
Depositing User: admin FT UNTAR
Date Deposited: 23 Oct 2021 04:18
Last Modified: 23 Oct 2021 04:18
URI: https://repotest.untar.ac.id/id/eprint/32848

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