Real-time control of multiproduct bulk-service semiconductor manufacturing processes
This work demonstrates how knowledge of future arrivals can be used to improve control of multiproduct bulk-service semiconductor manufacturing processes. The objective of the research reported is to reduce the average time that lots spend waiting to be processed. A review of the current literature...
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Published in: | IEEE transactions on semiconductor manufacturing Vol. 5; no. 2; pp. 158 - 163 |
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Format: | Journal Article |
Language: | English |
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01-05-1992
Institute of Electrical and Electronics Engineers |
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Abstract | This work demonstrates how knowledge of future arrivals can be used to improve control of multiproduct bulk-service semiconductor manufacturing processes. The objective of the research reported is to reduce the average time that lots spend waiting to be processed. A review of the current literature reveals that several researchers have dealt with the control of bulk-service queuing systems; however, only one paper has addressed the use of knowledge of future arrivals and it only considered the single-product case. This research reexamines the single-product-single-tube case and then explores the multiple-products-single tube case. For both cases, a control strategy is devised and evaluated through the use of systems simulation. The steady-state performance of each control strategy is then compared to the steady-state performance of the theoretically optimal control strategy not considering the timing of any future arrivals (i.e., a minimum batch size strategy). The experimental results indicate that the control strategies developed in this work perform well under a wide variety of conditions.< > |
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AbstractList | This work demonstrates how knowledge of future arrivals can be used to improve control of multiproduct bulk-service semiconductor manufacturing processes. The objective of the research reported is to reduce the average time that lots spend waiting to be processed. A review of the current literature reveals that several researchers have dealt with the control of bulk-service queuing systems; however, only one paper has addressed the use of knowledge of future arrivals and it only considered the single-product case. This research reexamines the single-product-single-tube case and then explores the multiple-products-single tube case. For both cases, a control strategy is devised and evaluated through the use of systems simulation. The steady-state performance of each control strategy is then compared to the steady-state performance of the theoretically optimal control strategy not considering the timing of any future arrivals (i.e., a minimum batch size strategy). The experimental results indicate that the control strategies developed in this work perform well under a wide variety of conditions.< > This work demonstrates how knowledge of future arrivals can be used to improve control of multiproduct bulk-service semiconductor manufacturing processes. The objective of the research reported is to reduce the average time that lots spend waiting to be processed. A review of the current literature reveals that several researchers have dealt with the control of bulk-service queuing systems; however, only one paper has addressed the use of knowledge of future arrivals and it only considered the single-product case. This research reexamines the single-product-single-tube case and then explores the multiple-products-single tube case. For both cases, a control strategy is devised and evaluated through the use of systems simulation. The steady-state performance of each control strategy is then compared to the steady-state performance of the theoretically optimal control strategy not considering the timing of any future arrivals (i.e., a minimum batch size strategy). The experimental results indicate that the control strategies developed in this work perform well under a wide variety of conditions |
Author | Phillips, D.T. Fowler, J.W. Hogg, G.L. |
Author_xml | – sequence: 1 givenname: J.W. surname: Fowler fullname: Fowler, J.W. organization: SEMATECH, Austin, TX, USA – sequence: 2 givenname: D.T. surname: Phillips fullname: Phillips, D.T. – sequence: 3 givenname: G.L. surname: Hogg fullname: Hogg, G.L. |
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Cites_doi | 10.1287/inte.20.1.43 10.2307/1426040 10.1287/opre.25.2.219 10.1287/opre.20.2.406 10.1214/aoms/1177698869 10.1109/66.79719 10.1287/mnsc.35.7.851 |
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References | ref12 ref10 bailey (ref4) 1954; 16 chaudhry (ref2) 1983 ref8 ref7 glassey (ref9) 1989 (ref13) 1988 ref3 ref6 ref5 fowler (ref1) 1990 baker (ref11) 1974 |
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SubjectTerms | Applied sciences Control systems Electronics Exact sciences and technology Fabrication Furnaces Industrial engineering Integrated circuit manufacture Manufacturing processes Microelectronic fabrication (materials and surfaces technology) Optimal control Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices Size control Steady-state Timing |
Title | Real-time control of multiproduct bulk-service semiconductor manufacturing processes |
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