Data processing: generic control systems or specific application – Specific application – apparatus or process – Product assembly or manufacturing
Reexamination Certificate
2007-10-09
2007-10-09
Picard, Leo (Department: 2125)
Data processing: generic control systems or specific application
Specific application, apparatus or process
Product assembly or manufacturing
C700S100000, C700S105000, C705S002000, C705S014270
Reexamination Certificate
active
11376928
ABSTRACT:
Techniques for determining how to translate forecast sales data of at least one configuration of assembled product into a forecast schedule of subcomponents composing the assembled product is described. To this end, forecast sales data of at least one configuration of assembled product is received. Usage factors of a plurality of subcomponents composing the assembled product are also received. Each usage factor corresponds to the at least one configuration of assembled product. The forecast schedule of subcomponents composing the assembled product is then composed by applying the usage factors of the plurality of subcomponents to the forecast sales data of at least one configuration of assembled product wherein the forecast schedule includes demand for the subcomponents over time.
REFERENCES:
patent: 5953707 (1999-09-01), Huang et al.
patent: 6119102 (2000-09-01), Rush et al.
patent: 6151582 (2000-11-01), Huang et al.
patent: 6681141 (2004-01-01), Ferreri et al.
patent: 6920366 (2005-07-01), Luh et al.
patent: 6920427 (2005-07-01), Anthony et al.
patent: 2004/0064350 (2004-04-01), Hanazato et al.
patent: 2005/0159971 (2005-07-01), Woehler
Daoud Bassel H.
Wiese Christopher K.
Kasenge Charles
Lucent Technologies - Inc.
Picard Leo
LandOfFree
Systems and methods for forecasting demand for a subcomponent does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Systems and methods for forecasting demand for a subcomponent, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Systems and methods for forecasting demand for a subcomponent will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3901707