A Nonlinear Programming and Artificial Neural Network Approach for Optimizing the Performance of a Job Dispatching Rule in a Wafer Fabrication Factory

المؤلف

Toly Chen, Tin-Chih

المصدر

Applied Computational Intelligence and Soft Computing

العدد

المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2012-09-25

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

A nonlinear programming and artificial neural network approach is presented in this study to optimize the performance of a job dispatching rule in a wafer fabrication factory.

The proposed methodology fuses two existing rules and constructs a nonlinear programming model to choose the best values of parameters in the two rules by dynamically maximizing the standard deviation of the slack, which has been shown to benefit scheduling performance by several studies.

In addition, a more effective approach is also applied to estimate the remaining cycle time of a job, which is empirically shown to be conducive to the scheduling performance.

The efficacy of the proposed methodology was validated with a simulated case; evidence was found to support its effectiveness.

We also suggested several directions in which it can be exploited in the future.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Toly Chen, Tin-Chih. 2012. A Nonlinear Programming and Artificial Neural Network Approach for Optimizing the Performance of a Job Dispatching Rule in a Wafer Fabrication Factory. Applied Computational Intelligence and Soft Computing،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-474194

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Toly Chen, Tin-Chih. A Nonlinear Programming and Artificial Neural Network Approach for Optimizing the Performance of a Job Dispatching Rule in a Wafer Fabrication Factory. Applied Computational Intelligence and Soft Computing No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-474194

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Toly Chen, Tin-Chih. A Nonlinear Programming and Artificial Neural Network Approach for Optimizing the Performance of a Job Dispatching Rule in a Wafer Fabrication Factory. Applied Computational Intelligence and Soft Computing. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-474194

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-474194