Lowell Wilson Bauer - Schenectady NY Marc Thomas Edgar - Clifton Park NY
Assignee:
General Electric Company - Niskayuna NY
International Classification:
G06G 748
US Classification:
703 6, 703 7, 700 83, 700174
Abstract:
A method for providing producibility information to a user during a design process includes providing process capability models with integrated coaching information and providing a producibility evaluation worksheet having at least one input and at least one output, the input being selectable to represent a specific design. The worksheet is initialized with a relevant process capability model that is used to determine a producibility measure indicating an effect of the input on the output. The producibility measure is then displayed to the user.
Storage And Retrieval Of Process Capability And Guidance Information, And Computer Media Therefor
Lowell Wilson Bauer - Niskayuna NY Marc Thomas Edgar - Clifton Park NY Gene Edward Wiggs - Chester OH Thomas Randolph Campbell - Washington CT
Assignee:
General Electric Company - Niskayuna NY
International Classification:
G06F 1700
US Classification:
707102
Abstract:
In a system and method for saving and retrieving process capability and guidance information related to supporting product design and manufacturing activities, specific capability and guidance information related to sets of standardized product attributes are collected and stored as a plurality of records in a database. A user may then access the database through a suitable computer program interface and design a product using any combination of standardized attributes. Upon each attribute selection, the system queries the database and retrieves the process capability and guidance information associated with the received set of attributes. This information is then displayed to the user to assist in product design and manufacturing activities. Users may also group information retrieved relating to various sets of attributes and generate composite checklists including ranked listings of relevant guidance information. Users are thus enabled to view and reference a previously unavailable quantity of information specifically related to the product being designed or manufactured.
Methods And Apparatus For Automated Underwriting Of Segmentable Portfolio Assets
Christopher Donald Johnson - Clifton Park NY, US Tim Kerry Keyes - West Redding CT, US Marc Thomas Edgar - Glenmont NY, US Chandrasekhar Pisupati - Niskayuna NY, US William Cree Steward - Norwalk CT, US
Assignee:
GE Capital Commercial Finance, Inc. - Stamford CT
International Classification:
G06F 17/60
US Classification:
705 36R, 705 38, 705 37
Abstract:
A method of valuation of large groups of assets using an iterative and adaptive statistical evaluation to generate asset values is described. Individual asset values are developed and listed so that individual asset values can be rapidly taken and quickly grouped in any desired or prescribed manner for bidding purposes. One method of automated underwriting includes defining clusters of financial instruments by common attributes, receiving an expert opinion of value from selected samples of the clusters, checking values for combinations of attributes and reconciling the values. A collective valuation of the assets is established by cumulating the individual valuations.
Methods And Systems For Efficiently Sampling Portfolios For Optimal Underwriting
Tim Kerry Keyes - West Redding CT, US Christopher Donald Johnson - Clifton Park NY, US Richard Paul Messmer - Rexford NY, US Marc Thomas Edgar - Glenmont NY, US Navneet Kapoor - Tokyo, JP
Assignee:
GE Capital Commercial Finance, Inc. - Stamford CT
International Classification:
G06F 17/60
US Classification:
705 36, 705 37
Abstract:
A method of valuation of large groups of assets by partial full underwriting, partial sample underwriting and inferred values of the remainder using an iterative and adaptive supervised and unsupervised statistical evaluation of all assets and statistical inferences drawn from the evaluation and applied to generate the inferred asset values. Individual asset values are developed and listed in relational tables so that individual asset values can be rapidly taken from the tables and quickly grouped in any desired or prescribed manner for bidding purposes. The assets are collected into a database, divided into categories by credit variable, subdivided by ratings as to those variables and then rated individually. The assets are then regrouped according to a bidding grouping and a collective valuations established by cumulating the individual valuations.
Methods And Systems For Finding Value And Reducing Risk
Richard Paul Messmer - Rexford NY, US Christopher Donald Johnson - Clifton Park NY, US Tim Kerry Keyes - West Redding CT, US William Cree Steward - Norwalk CT, US Marc Thomas Edgar - Glenmont NY, US
Assignee:
GE Capital Commercial Finance, Inc. - Stamford CT
International Classification:
G06F 17/60
US Classification:
705 35, 705 38
Abstract:
A method of valuation of large groups of assets by a partial full underwriting, partial sample underwriting and inferred valuation of the remainder using an iterative and adaptive statistical evaluation of all assets and statistical inferences drawn from the evaluation and applied to generate inferred asset values. Individual asset values are developed and listed so that individual asset values can be rapidly taken and quickly grouped in any manner for bidding purposes. The assets are collected into a database, divided into categories, subdivided by ratings and then rated individually. Asset value is continuously recalculated based on progressively improving asset valuation data. The assets are then regrouped for bidding and a collective valuation is established by cumulating individual valuations.
Methods And Systems For Automated Inferred Valuation Of Credit Scoring
Christopher Donald Johnson - Clifton Park NY, US Marc Thomas Edgar - Glenmont NY, US Tim Kerry Keyes - West Redding CT, US
Assignee:
GE Capital Commerical Finance, Inc. - Stamford CT
International Classification:
G06F 17/60
US Classification:
705 36, 705 37
Abstract:
A method of inferring valuation of large groups of assets by credit scores includes the steps of organizing valuation scores, adjusting valuation scores based on special factors and business decisions, reconciling multiple valuation scores which describe the same assets and making an overall adjustment to override the inferred valuation. Individual asset values are developed and listed in tables so that individual asset values can be rapidly taken from the tables and quickly grouped for bidding purposes. The valuations are collected into a database, divided into categories by credit variable, subdivided by ratings as to those variables and then rated individually.
Rapid Valuation Of Portfolios Of Assets Such As Financial Instruments
Christopher Donald Johnson - Clifton Park NY, US Tim Kerry Keyes - West Redding CT, US David Jonathan Spencer - Bangkok, TH Catharine Lynn Midkiff - Bangkok, TH Richard Paul Messmer - Rexford NY, US Chandrasekhar Pisupati - Niskayuna NY, US Yu-to Chen - San Ramon CA, US Marc Thomas Edgar - Glenmont NY, US James Louis Cifarelli - Schenectady NY, US Kunter Seref Akbay - Niskayuna NY, US Vrinda Rajiv - Guilderland NY, US David Richard Nelson - Alpharetta GA, US William Cree Steward - Norwalk CT, US
Assignee:
GE Capital Commercial Finance, Inc. - Stamford CT
International Classification:
G06F 17/60
US Classification:
705 36R, 705 35, 705 37, 706 8
Abstract:
A method of valuation of large groups of assets by partial full underwriting, partial sample underwriting and inferred values of the remainder using an iterative and adaptive supervised and unsupervised statistical evaluation of all assets and statistical inferences drawn from the evaluation and applied to generate the inferred asset values. Individual asset values are developed and listed in realtional tables so that individual asset values can be rapidly taken from the tables and quickly grouped in any desired or prescribed manner for bidding purposes. The assets are collected into a database, divided into categories by credit variable, subdivided by ratings as to those variables and then rated individually. The assets are then regrouped according to a bidding grouping and a collective valuations established by cumulating the individual valuations.
Methods And Systems For Optimizing Return And Present Value
Christopher Donald Johnson - Clifton Park NY, US Marc Thomas Edgar - Glenmont NY, US Tim Kerry Keyes - West Redding CT, US
Assignee:
GE Capital Commercial Finance, Inc. - Stamford CT
International Classification:
G06Q 40/00
US Classification:
705 37, 705 38
Abstract:
A method of valuation of large groups of assets by partial full underwriting, partial sample underwriting and inferred values of the remainder using an iterative and adaptive statistical evaluation of all assets and statistical inferences drawn from the evaluation and applied to generate inferred values. Individual asset values are developed and listed in tables so that individual asset values can be taken and quickly grouped in any desired or prescribed manner for bidding purposes. The assets are collected into a database, divided by credit variable, subdivided by ratings as to those variables and then rated individually. The assets are then regrouped according to a bidding grouping and a collective valuation established by cumulating the individual valuations.
Marc Edgar (1978-1981), Julie Iromuanya (1994-1996), Kelli Patrick (1979-1982), Peggy Morgan (1977-1980), Shauna Edens (1975-1977), Kari Turner (1973-1976)
Mark Edgar (1974-1978), Jeff Fullerton (1989-1993), Dave McLatchie (1980-1984), Will Lee (1996-2000), Jade Haxton (2001-2005), Anders Larsson (1980-1984)