Patent ID: 7769706
Filing Date: 2010-08-03
Classification: G06N,G06Q,Y10S

Abstract:
1. An information system using a computer that obtains from a bill of materials a combination of attribute values of parts as a candidate for a cause of failure, with the bill of materials holding ID for at least one of the parts and at least one of the attribute values of the parts, comprising: a generation unit determining the degree of support for cause of failure that searches the bill of materials for one of the ID of one of the parts used for failed products; acquiring the attribute values of some of the parts; comparing the acquired attribute values of some of the parts to each other; and generating a degree of support when the attribute values of some of the parts are the same; a part attribute value extracting unit that stores some of the parts having attribute values of some of the parts, whose generated degree of support is higher than a predetermined value and the part attribute value extracting unit stores parts with attribute values that appear frequently among the parts as a frequently-appearing part attribute; a support part combining unit that prepares a combination of the parts having the stored frequently-appearing part attribute; a common part unit that obtains a common part that is present in each of the combined parts such that the common parts have common information in the bill of materials; a common part entropy calculating unit that calculates a failure entropy among the common parts, which is an entropy of parts used for the failed products among the entire obtained common parts; a support part entropy calculating unit that calculates failure entropy among support parts, which is an entropy of parts used for faulty parts that appear frequently among the common parts; an information gain calculating unit that calculates an information gain, such that the information gain is a difference between the failure entropy among the common parts and the failure entropy among the support parts; and a selecting unit that selects a combination of parts that have the frequently-appearing part attribute such that the calculated information gain is greater than a predetermined threshold value.