DocumentCode :
2231233
Title :
Using static capacity modeling techniques in semiconductor manufacturing
Author :
Witte, James D.
Author_Institution :
Harris Semicond., Palm Bay, FL, USA
fYear :
1996
fDate :
12-14 Nov 1996
Firstpage :
31
Lastpage :
35
Abstract :
In the capital intensive semiconductor industry, the ability to understand and communicate manufacturing capacity can mean the difference between profit and loss. Companies can make informed decisions on what, when, and how much equipment is needed to meet market demand only when their manufacturing capacity is understood. The use of static capacity modeling can provide a cost effective means for understanding and communicating manufacturing capability, while at the same time forming a foundation to build towards more sophisticated modeling techniques. Static capacity analysis can provide valid insight into some basic questions about manufacturing capability. In addition, static capacity modeling can simplify the data collection and validation effort, making capacity modeling an easier pill to swallow by front line manufacturing organizations that must maintain the model. This paper describes how Harris Semiconductor has implemented static capacity modeling analysis for strategic capital planning and enterprise wide production planning
Keywords :
computer aided production planning; integrated circuit manufacture; manufacturing data processing; manufacturing resources planning; semiconductor device manufacture; Harris Semiconductor; enterprise wide production planning; manufacturing capacity; semiconductor manufacturing; static capacity modeling techniques; strategic capital planning; Availability; Capacity planning; Costs; Decision making; Job shop scheduling; Manufacturing processes; Production planning; Semiconductor device manufacture; Strategic planning; Virtual manufacturing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Semiconductor Manufacturing Conference and Workshop, 1996. ASMC 96 Proceedings. IEEE/SEMI 1996
Conference_Location :
Cambridge, MA
ISSN :
1078-8743
Print_ISBN :
0-7803-3371-3
Type :
conf
DOI :
10.1109/ASMC.1996.557967
Filename :
557967
Link To Document :
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