USER EVALUATION APPARATUS DEPENDING ON HARDWARE USAGE STATUS

• US 20100250450A1
• Filed: 03/29/2010
• Published: 09/30/2010
• Est. Priority Date: 03/30/2009
• Status: Active Grant

• Current Assignee: Micron Technology, Inc.
• Original Assignee: Micron Memory Taiwan Co., Ltd. (Micron Technology, Inc.)
• Inventors: Morita, Chie, Nishikawa, Takeichiro, Nakatsugawa, Minoru, Yonezawa, Minoru, Hirohata, Kenji
• Granted Patent: US 8,577,646 B2
• Time in Patent Office: Days
• US Class Current: 705/302
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/20 Administration of product repair or maintenance
• CPC Class Codes: G06Q 30/012 Providing warranty services
• CPC Class Codes: G06Q 30/0283 Price estimation or determination

Abstract

A user evaluation apparatus includes a parameter determination module which determines parameters of a user evaluation model required to calculate a degree of usage influence so as to maximize a target function. The target function may be defined using weight values, measurement data, and a failure information counting result. The apparatus also includes a user evaluation module which calculates and displays the degree of usage influence using the measurement data and the parameters of the user evaluation model.

Claims

1. A user evaluation apparatus, comprising:

a failure information storage to store a failure information counting result for a plurality of repaired machines having the same characteristics as a plurality of machines to be measured;

a repair rate calculation module configured to calculate repair rate estimated values for the respective repaired machines based on the failure information counting result;

a first storage to store the repair rate estimated values;

a measurement data receiving module configured to receive measurement data associated with usage statuses of the plurality of machines to be measured;

a second storage to store the measurement data;

a weight value determination module configured to determine weight values used to cancel differences of the repair rate estimated values among machines respectively for the plurality of machines to be measured;

a weight storage to store the weight values respectively for the plurality of machines to be measured;

a parameter determination module configured to determine parameters of a user evaluation model required to calculate a degree of usage influence so as to maximize a target function, wherein the target function is defined using the weight values, the measurement data, and the failure information counting result;

a fourth storage to store the parameters of the user evaluation model;

a user evaluation module configured to calculate the degree of usage influence using the measurement data and the parameters of the user evaluation model; and

a processing module configured to display the degree of usage influence.

2. The apparatus according to claim 1, further comprising a weight value parameter storage to store a weight value parameter s, and

wherein letting p be the repair rate estimated value, the weight value determination module determines, according to a presence/absence of a repair history represented by the failure information counting result, (1−

p)^s/p<sup>1−

s</sup> as the weight value when a repair history is present and p^s/(1−

p)<sup>1−

s</sup> as the weight value when a repair history is absent.

3. The apparatus according to claim 1, wherein letting p be the repair rate estimated value, the weight value determination module determines, according to a presence/absence of a repair history represented by the failure information counting result, 1−

p as the weight value when a repair history is present and p as the weight value when a repair history is absent.

4. The apparatus according to claim 1, further comprising a model generation data storage to store model generation data including a manufacturing number, the number of machine operating days within a warranty period, a failure count within the warranty period, a model name, a date of manufacture, and component configuration information, and

wherein the repair rate calculation module determines parameters to be given to a model which outputs a probability value using, as inputs, data other than the manufacturing number and the failure count within the warranty period, and defines a probability value output from the model characterized by the parameters as the repair rate estimated value.

5. The apparatus according to claim 1, further comprising:

a category specifying information storage to store category specifying information required to specify a set corresponding to a constant repair rate;

a category-dependent repair rate calculation module configured to calculate the repair rate estimated vales for respective categories specified by the category specifying information; and

a category-dependent repair rate estimated value storage to store the repair rate estimated values for respective categories.

6. The apparatus according to claim 1, further comprising:

a daily data storage to store daily measurement data based on measurement data received a plurality of times from the respective machines to be measured by the measurement data receiving module;

a measurement data counting processing module configured to count the daily measurement data, and to detect a presence/absence of inconsistency of data; and

a count data storage to store a counting result by the measurement data counting processing module and the presence/absence of inconsistency of data, and

wherein the weight value determination module calculates the weight values for machines free from inconsistency, and

the user evaluation module calculates the degrees of usage influence for the machines free from inconsistency.

7. The apparatus according to claim 1, further comprising a user rank model storage to store values corresponding to ranks for respective indices, and

wherein the parameter determination module calculates ranks of index values from a user rank model respectively for the plurality of machines to be measured, and determines the parameters of the user evaluation model required to calculate the degree of usage influence so as to maximize a target function which is defined using the index values, the weight values, and the failure information counting result, and

wherein the user evaluation module calculates the degree of usage influence using the measurement data, the ranks of the index values, and the parameters of the user evaluation model.

8. The apparatus according to claim 1, further comprising:

a standard price storage to store standard prices for the respective machines to be measured; and

a warranty fee calculation module configured to calculate a warranty fee from the degree of usage influence and the standard price.

9. The apparatus according to claim 1, further comprising:

a user rank model storage to store values corresponding to ranks for respective indices; and

an allowable range storage to store a set of an index name, an upper limit value, and a lower limit value for each category of a model, and

wherein the user evaluation module calculates a percentile of a machine for each index, and percentiles of the upper limit value and the lower limit value of the index, and

the processing module displays a graph which represents these values on a screen.