Browse Prior Art Database

Exact Yield Prediction

IP.com Disclosure Number: IPCOM000083547D
Original Publication Date: 1975-Jun-01
Included in the Prior Art Database: 2005-Mar-01
Document File: 3 page(s) / 61K

Publishing Venue

IBM

Related People

DeVries, R: AUTHOR [+2]

Abstract

Data collection and analysis forms an integral part of any manufacturing process. In addition, a major consideration of a manufacturing process is an overall improvement of the quality and yield of a product, usually influenced by a set number of variables or parameters.

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Exact Yield Prediction

Data collection and analysis forms an integral part of any manufacturing process. In addition, a major consideration of a manufacturing process is an overall improvement of the quality and yield of a product, usually influenced by a set number of variables or parameters.

The "YGAL" (Yield Gain and Loss) program is designed to identify the amount of loss or gain (in percent) contributed by an individual, or a combination of variables/parameters to the overall yield gain or loss of the product. YGAL is a terminal oriented conversational program that predicts yield when the imposed parameter limits are perturbed. YGAL employs that algorithm of extreme readings, thereby minimizing the amount of data collected and analyzed.

The program is described in a macro flow chart (Fig. 1) to represent the sequence of events that follow to obtain the desired results. The program assumes data to be resident online for analysis. It further assumes that the user has minimal knowledge of data processing and guides the user in a conversational interactive mode.

The principle of "extremes" is employed in a wide spectrum of applications. Two examples illustrate the use of YGAL. Example 1.

Company XYZ is in the business of producing memories.

Before the memories are shipped out to the customer, each individual memory is one hundred percent tested to guarantee its functionality.

The memory in this example is a 256 X 40 bits ROS (Read-Only Storage Memory).

The memor...