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Weighted grey relational analysis to evaluate multilevel dispatching rules in wafer fabrication

Goh Chia Yee (School of Mechanical Engineering, Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, Nibong Tebal, Malaysia)
Chin Jeng Feng (School of Mechanical Engineering, Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, Nibong Tebal, Malaysia)
Mohd Azizi Bin Chik (SilTerra Malaysia Sdn Bhd, Kulim, Malaysia)
Mohzani Mokhtar (School of Mechanical Engineering, Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, Nibong Tebal, Malaysia)

Grey Systems: Theory and Application

ISSN: 2043-9377

Article publication date: 28 January 2021

Issue publication date: 19 October 2021

205

Abstract

Purpose

This research proposes weighted grey relational analysis (WGRA) method to evaluate the performance of 325 multilevel dispatching rules in the wafer fabrication process.

Design/methodology/approach

The research methodology involves multilevel dispatching rule generation, simulations, WGRA and result analysis. A complete permutation of multilevel dispatching rules, including the partial orders, is generated from five basic rules. Performance measures include cycle time, move, tool idling and queue time. The simulation model and data are obtained from a wafer fab in Malaysia. Two seasons varying in customer orders and objective weights are defined. Finally, to benchmark performance and investigate the effect of varying values of coefficient, the models are compared against TOPSIS and VIKOR.

Findings

Results show that the seasons prefer different multilevel dispatching rules. In Normal season, the ideal first basic dispatching rule is critical ratio (CR) and CR followed by shortest processing time (SPT) is the best precedence pairing. In Peak season, the superiority of the rule no longer heavily relies on the first basic rule but rather depends on the combination of tiebreaker rules and on-time delivery (OTD) followed by CR is considered the best precedence pairing. Compared to VIKOR and TOPSIS, WGRA generates more stable rankings in this study. The performance of multicriteria decision-making (MCDM) methods is influenced by the data variability, as a higher variability produces a much consistent ranking.

Research limitations/implications

As research implications, the application illustrates the effectiveness and practicality of the WGRA model in analyzing multilevel dispatching rules, considering the complexity of the semiconductor wafer fabrication system. The methodology is useful for researchers wishing to integrate MCDM model into multilevel dispatching rules. The limitation of the research is that the results were obtained from a simulation model. Also, the rules, criteria and weights assigned in WGRA were decided by the management. Lastly, the distinguishing coefficient is fixed at 0.5 and the effect to the ranking requires further study.

Originality/value

The research is the first deployment WGRA in ranking multilevel dispatching rules. Multilevel dispatching rules are rarely studied in scheduling research although studies show that the tiebreakers affect the performances of the dispatching rules. The scheduling reflects the characteristics of wafer fabrication and general job shop, such as threshold and look-ahead policies.

Keywords

Acknowledgements

This work was supported by Research University Grant (RUI), Universiti Sains Malaysia (grant number: 8014069).

Citation

Chia Yee, G., Jeng Feng, C., Chik, M.A.B. and Mokhtar, M. (2021), "Weighted grey relational analysis to evaluate multilevel dispatching rules in wafer fabrication", Grey Systems: Theory and Application, Vol. 11 No. 4, pp. 619-649. https://doi.org/10.1108/GS-08-2020-0106

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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