Optimization of a semiconductor manufacturing process using a reentrant model
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| Format: | Artículo científico |
| Language: | en |
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Universidade Nove de Julho
2015
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| _version_ | 1876452891077640192 |
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| author | Sarah Abuhab Valente |
| author_facet | Sarah Abuhab Valente |
| contents | Optimization of a semiconductor manufacturing process using a reentrant model Sarah Abuhab Valente Eduardo Christiano Cecone Luiz Alberto Paoliello Alvim Douglas Alves Cassiano Ingeniería fab Mini Arena OptQuest Reentrant model The scope of this work is the simulation of a semiconductor manufacturing model in Arena® software and subsequent optimization and sensitivity analysis of this model. The process is considered extremely complex given the amount of steps, machinery, parameters, and highly reentrant characteristics, which makes it difficult to reach stability of production process. The production model used was the Intel Five-Machine Six-Step Mini-fab developed by Karl Kempf (1994). It was programmed in Arena® and optimized by OptQuest®, an add-on. We concluded that variation in the number of machines and operators reflects on cycle time only if there is an increase of one unit of resource more than obtained in the optimization. As a result, we highlighted the scenario where a reduction in cycle time stood out, in which one extra unit was added in the second machine group, representing a 7.41% reduction in cycle time. 2015 artículo científico 1678-5428 https://www.redalyc.org/articulo.oa?id=81043159013 en http://www.redalyc.org/revista.oa?id=810 Exacta application/pdf Universidade Nove de Julho Exacta (Brasil) Num.2 Vol.13 |
| format | Artículo científico |
| id | redalyc_81043159013 |
| institution | Redalyc |
| language | en |
| publishDate | 2015 |
| publisher | Universidade Nove de Julho |
| spellingShingle | Optimization of a semiconductor manufacturing process using a reentrant model Sarah Abuhab Valente Ingeniería fab Mini Arena OptQuest Reentrant model Optimization of a semiconductor manufacturing process using a reentrant model Sarah Abuhab Valente Eduardo Christiano Cecone Luiz Alberto Paoliello Alvim Douglas Alves Cassiano Ingeniería fab Mini Arena OptQuest Reentrant model The scope of this work is the simulation of a semiconductor manufacturing model in Arena® software and subsequent optimization and sensitivity analysis of this model. The process is considered extremely complex given the amount of steps, machinery, parameters, and highly reentrant characteristics, which makes it difficult to reach stability of production process. The production model used was the Intel Five-Machine Six-Step Mini-fab developed by Karl Kempf (1994). It was programmed in Arena® and optimized by OptQuest®, an add-on. We concluded that variation in the number of machines and operators reflects on cycle time only if there is an increase of one unit of resource more than obtained in the optimization. As a result, we highlighted the scenario where a reduction in cycle time stood out, in which one extra unit was added in the second machine group, representing a 7.41% reduction in cycle time. 2015 artículo científico 1678-5428 https://www.redalyc.org/articulo.oa?id=81043159013 en http://www.redalyc.org/revista.oa?id=810 Exacta application/pdf Universidade Nove de Julho Exacta (Brasil) Num.2 Vol.13 |
| title | Optimization of a semiconductor manufacturing process using a reentrant model |
| topic | Ingeniería fab Mini Arena OptQuest Reentrant model |
| url | https://www.redalyc.org/articulo.oa?id=81043159013 |