Preventive maintenance scheduling optimization in semiconductor assembly industry using harmony search algorithm
Azhar, Nur Izzah and Yusof, Umi Kalsom and Khalid, M. N. A.
2013 IEEE Student Conference on Research and Developement · pp. 254–259 · 2013
Abstract
Highly competitive markets and rapidly changing customer demands have increased the importance of proper resource utilization in the semiconductor industry. Utilizing resources (i.e. machines) is vital in order to maintain continuous flow of manufacturing as well as their efficiency and productivity. However, machine maintenance is being overlooked in most cases of the semiconductor assembly processes. This will greatly affect the effectiveness and productivity of semiconductor industry when machine breakdowns happen. Various maintenance models had been proposed by previous researchers which focuses on a different mode and environment of maintenance in manufacturing. The objective of this study is to maximize the maintenance throughput while satisfying resource constraints. A new model using harmony search (HS) algorithm, slightly modified to suit the manufacturing constraints, was proposed and tested with an industrial datasets to examine its effectiveness. A comparative analysis of both with and without the HS algorithm application is conducted. From the results, the proposed HS algorithm manages to achieve a positive improvement of 10% from an original industrial maintenance schedule, where the maximum maintenance throughput increases from 71.43% to 78.57%.
Interactive demo
This interactive is a faithful re-design of the research, simplified for illustrative and teaching purposes. It conveys the idea and behaviour of the model — it is not the paper’s full method, data, or results.
A looping preview of the FMS scheduling model: an artificial immune system orders operations across machines around maintenance windows, compacting the Gantt chart to minimize the makespan.
Azhar, Nur Izzah and Yusof, Umi Kalsom and Khalid, M. N. A. “Preventive maintenance scheduling optimization in semiconductor assembly industry using harmony search algorithm.” In 2013 IEEE Student Conference on Research and Developement, 2013.
@inproceedings{azhar2013preventive,
author = {Azhar, Nur Izzah and Yusof, Umi Kalsom and Khalid, M. N. A.},
title = {Preventive maintenance scheduling optimization in semiconductor assembly industry using harmony search algorithm},
booktitle = {2013 IEEE Student Conference on Research and Developement},
pages = {254--259},
year = {2013},
doi = {10.1109/SCOReD.2013.7002583},
}