Method and business process for the estimation of erosion...

Data processing: measuring – calibrating – or testing – Measurement system – Performance or efficiency evaluation

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C700S108000, C705S014270

Reexamination Certificate

active

07356440

ABSTRACT:
A method for forecasting the component surpluses for a target planning period is provided. To begin this method, a planner first identifies each component required to produce a product. For each component, the planner defines a planned level and an uncancelable level. The planned level for a component is the quantity at which the component is expected to be available. The uncancelable level for a component is the quantity of the component that cannot be liquidated without charge. The planner also defines a vector of connect rates for the components. After the required data has been entered, an expected surplus is computed for each component. To compute a component's expected surplus, the component is assumed to be available at its uncancelable level. The remainder of the components are assumed to be available at their respective planned levels. The mean production for the component is computed and used, along with the uncancelable level the selected component and the vector of connect rates to compute the component's expected surplus. This computation is repeated for all components in turn.

REFERENCES:
patent: 5515269 (1996-05-01), Willis et al.
patent: 5630070 (1997-05-01), Dietrich et al.
patent: 5930762 (1999-07-01), Masch
patent: 5953707 (1999-09-01), Huang et al.
patent: 6006192 (1999-12-01), Cheng et al.
patent: 6151582 (2000-11-01), Huang et al.
patent: 6324527 (2001-11-01), Bajuk et al.
patent: 6453303 (2002-09-01), Li
patent: 6772136 (2004-08-01), Kant et al.
patent: 6947903 (2005-09-01), Perry
patent: 6957186 (2005-10-01), Guheen et al.
patent: 6970829 (2005-11-01), Leamon
patent: 7035808 (2006-04-01), Ford
Bass, Frank M., Purdue University,A New Product Growth For Model Consumer Durables, Management Science, vol. 15, No. 5, Jan. 1969, pp. 216-227.
Dagum, Camilo, Econometric Research Program Princeton University,Structural Permanence: Its Role in the Analysis of Structural Dualisms and Dependences and for Prediction and Decision Purposes, The Economics of Structural Change vol. 1, The International Library of Critical Writings in Economics, An Elgar Reference Collection, 1969, pp. 211-235.
Mahajan, Vijay, Muller, Eitan and Bass, Frank M.,New-Product Diffusion Models, Chapter 8, Handbooks in OR & MS, vol. 5, J. Eliashberg and G.L. Lilien, Eds., 1993, pp. 349-408.
Hanssens, Dominique M. and Leonard, J. Parsons,Econometric and Time-Series Market Reponse Models, Chapter 9, Handbooks in OR & MS, vol. 5, J. Eliashberg and G.L. Lilien, Eds., 1993, pp. 409-464.
Balazs Kralik et al., “Erosion, Cancellation and Expediting under Distributed Production,” Rapt Technologies Corporation Technical Report TR-15-00, Feb. 1, 2000, Cover Sheet and pp. 1-9.
Paul Dagum, “Asset Risk Management,” Rapt Technologies Corporation Technical Report TR-03-99, Feb. 1999, pp. 1-7.
Paul Dagum et al., “Demand Statistical Arbitrage with Variants of the Uniform Production Policy,” Rapt Technologies Corporation Technical Report TR-14-00, Jan. 2000, Cover Sheet and pp. 1-13.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Method and business process for the estimation of erosion... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method and business process for the estimation of erosion..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and business process for the estimation of erosion... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2744623

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.