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
Main Authors: Fowler, J.W., Phillips, D.T., Hogg, G.L.
Format: Journal Article
Language:English
Published: New York, NY IEEE 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.< >
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.
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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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Keywords Improvement
Semiconductor materials
Control system
Integrated circuit
Strategy
Manufacturing
Real time
Language English
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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
References_xml – volume: 16
  start-page: 80
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  publication-title: J R Stat Soc B
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– year: 1974
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  contributor:
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– ident: ref8
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– year: 1990
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– year: 1988
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Snippet This work demonstrates how knowledge of future arrivals can be used to improve control of multiproduct bulk-service semiconductor manufacturing processes. The...
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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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