Data processing: financial – business practice – management – or co – Automated electrical financial or business practice or... – Discount or incentive
Reexamination Certificate
2007-05-29
2007-05-29
Diaz, Susanna M. (Department: 3694)
Data processing: financial, business practice, management, or co
Automated electrical financial or business practice or...
Discount or incentive
Reexamination Certificate
active
09929356
ABSTRACT:
In part inventory management, in order to accurately forecast future number of orders of parts for which order has, for example, fallen to one unit per month or fewer, low-order-rate parts whose order rates to have fallen below the predetermined level are extracted, a parameter indicating a characteristic of orders is determined and classification into multiple categories is conducted. Then, using the parameter, an order occurrence probability distribution is calculated for each category. Monte Carlo simulation is carried out based on the calculated order occurrence probability distributions to determine occurrence rate probability distributions of number of orders during a predetermined period, and the future number of orders of the low-order-rate parts are forecast based on the calculated occurrence rate probability distributions of number of orders during the predetermined period.
REFERENCES:
patent: 4414629 (1983-11-01), Waite
patent: 5608621 (1997-03-01), Caveney et al.
patent: 5765143 (1998-06-01), Sheldon et al.
patent: 5893076 (1999-04-01), Hafner et al.
patent: 6006196 (1999-12-01), Feigin et al.
patent: 6144945 (2000-11-01), Garg et al.
patent: 6253187 (2001-06-01), Fox
patent: 6567824 (2003-05-01), Fox
patent: 6611726 (2003-08-01), Crosswhite
patent: 6816839 (2004-11-01), Gung et al.
patent: 6826538 (2004-11-01), Kalyan et al.
patent: 6978249 (2005-12-01), Beyer et al.
patent: 2001/0049690 (2001-12-01), McConnell et al.
patent: 2005/0283412 (2005-12-01), Cheng et al.
patent: 19848094 (2000-04-01), None
patent: 08147357 (1996-06-01), None
patent: 11-007482 (1999-01-01), None
patent: 2000003388 (2000-01-01), None
Mujtaba, Enterprise modeling and simulation: complex dynamic behavior of a simple model of manufacturing, Dec. 1994, Hewlett-Packard Journal, v.45, n.6, p. 80-113 (34 pages).
Masters, Determination of near optimal stock levels for multi-echelon distribution inventories, !((#, Journal of Business Logistics, v.14, n.2, p. 165-195 (31 pages).
Patent Abstracts of Japan, Publication No. 2002-073746 of Application No. 2000-260918, [online], [retrieved Dec. 3, 2005 via Japan Patent Office website, Ind Prop Dig Lib, PAJ database, URL: <http://www19.ipdl.ncipi.go.jp/PA1/cgi-bin/PA1DETAIL>.
Morita, The regression-analog to survival analysis: a selected application to turnover research, Academy of Management Journal, Dec. 1993, v.39, n.6, p. 1430 (35 pages).
Price et al. “How to Prepare Inventory Forecasts for Very Low Demand Items.” Journal of Business Forecasting, vol. 5, No. 2, pp. 21-22, Summber 1986.
Heuts et al. “A Combined Forecast-Inventory Control Procedure for Spare Parts.” Presented at the Conference on Flexible Automation & Intelligent Manufacturing (FAIM '99).
Keaton, Mark. “Determining Reorder Points When Lead Time is Random: A Spreadsheet Implementation.” Production and Inventory Management Journal, First Quarter, 1995.
Palmer, Michael. “Get It Right: Use Monte Carlo Simulation When Projecting Hotel Construction Loans.” The Journal of Lending & Credit Risk Management, vol. 81, No. 5, p. 38(7), Jan. 1999.
Altiok, Tayfur. “(R. r) Production/Inventory Systems.” Operations Research, vol. 37, No. 2, pp. 266-276, Mar./Apr. 1989.
Walker, John. “Decision Support for the Single-Period Inventory Problem.” Industrial Management + Data Systems, vol. 100, No. 2, pp. 61-66, 2000.
Razi, Muhammad Abdullah-Al. “Periodic Review Inventory Control Model for Slow Moving Spare Parts” (abstract). Dissertation Abstracts International, vol. 60/06-A, p. 2127, 1999.
Keaton, Mark. “Using the Gamma Distribution to Model Demand When Lead Time is Random.” Journal of Business Logistics, vol. 16, No. 1, 1995.
“Poisson Regression” definition retrieved from the Wikipedia web site on Jun. 7, 2006 [URL: http://en.wikipedia.org/wiki/Poisson—regression].
“Regression Analysis” definition retrieved from the Wikipedia web site on Jun. 7, 2006 [URL: http://en.wikipedia.org/wiki/Regression—analysis].
“Regression Analysis” definition retrieved from the 12Manage web site on Jun. 7, 2006 [URL: http://www.12manage.com/methods—regression—analysis.html].
“Monte Carlo method” definition retrieved from the Wikipedia web site on Jun. 5, 2006 [URL: http://en.wikipedia.org/wiki/Monte—Carlo—method].
“Monte Carlo simulation” definition retrieved from the Decisioneering web site on Jun. 5, 2006, [URL: http://www.decisioneering.com/monte-carlo-simulation.html].
Price et al. “How to Prepare Inventory Forecasts for Very Low Demand Items.” Journal of Business Forecasting, vol. 5, No. 2, pp. 21-22, Summer 1986.
Canadian Office Action dated Mar. 11, 2004, Application No. 2,381,569, Owner: Honda Giken Kogyo Kabushiki Kaisha, Title: Method of Forecasting Future Orders in Parts Inventory Management.
Suzaki Yukihiko
Yanagino Tameo
Arent & Fox LLP
Diaz Susanna M.
Honda Giken Kogyo Kabushiki Kaisha
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