U.S. patents available from 1976 to present.
U.S. patent applications available from 2005 to present.

Method for resource allocation and project control for the production of a product

Patent 5291397 Issued on March 1, 1994. Estimated Expiration Date: Icon_subject December 20, 2011. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

3703725

3845286

Automated integrated circuit manufacturing system
Patent #: 4027246
Issued on: 05/31/1977
Inventor: Caccoma ,   et al.

Method and automated equipment for the tracking, control and synthesizing of manufacturing performance figures
Patent #: 4089056
Issued on: 05/09/1978
Inventor: Barna, et al.

Multi-unit optimization
Patent #: 4208712
Issued on: 06/17/1980
Inventor: Deutsch

Method for resource allocation for the manufacture of a product
Patent #: 4648023
Issued on: 03/03/1987
Inventor: Powell

Computer integrated manufacturing system
Patent #: 4827423
Issued on: 05/02/1989
Inventor: Beasley ,   et al.

Manufacturing or service system allocating resources to associated demands by comparing time ordered arrays of data Patent #: 5128860
Issued on: 07/07/1992
Inventor: Chapman

Inventor

Application

No. 811535 filed on 12/20/1991

US Classes:

700/97, Design or planning700/100, Job scheduling705/8Allocating resources or scheduling for an administrative function

Examiners

Primary: McElheny, Donald Jr.
Assistant: Brutman, Laura

International Classes

G06F 015/20
G06F 007/48

Abstract

A control system for the manufacture of a product is disclosed. A network of events and activities and a baseline schedule is constructed. Actual and predicted deviations to the baseline schedule, which are called slack variables, are used to predict the actual final completion date, using parallel processing. These slack variables are also used to selectively allocate resources to elements of the manufacturing process. Critical elements and critical dates are readily determined. The incremental cost of incremental schedule improvement can be readily determined. The current status of a project can be described in a single variable.

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