Feng Yanyu S Cheng

US Patent:

6970841, Nov 29, 2005

Filed:

Apr 17, 2000

Appl. No.:

09/551118

Inventors:

Feng Cheng - Chappaqua NY, US
Markus Ettl - Yorktown Heights NY, US
Grace Yuh-Jiun Lin - Chappaqua NY, US
David Da-Wel Yao - Yorktown Heights NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F017/60

US Classification:

705 28, 705 22

Abstract:

A manufacturing process is migrated from an existing operation to a configure-to-order (CTO) system. As the CTO operation will eliminate the “machine-type model” (MTM) inventory of the existing operation, the emphasis is shifted to the components, or “building blocks”, which will still follow the build-to-stock scheme, due to their long leadtimes, and hence still require inventory. The solution involves an inventory-service trade-off of the new CTO system, resulting in performance gains, in terms of reduced inventory cost and increased service level. Other benefits include better forecast accuracy through parts commonality and risk-pooling, and increased customer demand, as orders will no longer be confined within a restricted set of pre-configured MTMs.

US Patent:

7496530, Feb 24, 2009

Filed:

May 4, 2005

Appl. No.:

11/121094

Inventors:

Feng Cheng - Chappaqua NY, US
Markus Ettl - Yorktown Heights NY, US
Grace Yuh-Jiun Lin - Chappaqua NY, US
David Da-Wei Yao - Yorktown Heights NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06Q 10/00

US Classification:

705 28, 705 22, 705 29

Abstract:

A manufacturing process is migrated from an existing operation to a configure-to-order (CTO) system. As the CTO operation will eliminate the “machine-type model” (MTM) inventory of the existing operation, the emphasis is shifted to the components, or “building blocks”, which will still follow the build-to-stock scheme, due to their long leadtimes, and hence still require inventory. The solution involves an inventory-service trade-off of the new CTO system, resulting in performance gains, in terms of reduced inventory cost and increased service level. Other benefits of the method include better forecast accuracy through parts commonality and risk-pooling, and increased customer demand, as orders will no longer be confined within a restricted set of pre-configured MTMs.

US Patent:

7979298, Jul 12, 2011

Filed:

Apr 4, 2008

Appl. No.:

12/062802

Inventors:

Feng Cheng - Chappaqua NY, US
David Gamarnik - New York NY, US
Wanli Min - Cortlandt Manor NY, US
Bala Ramachandran - Harrison NY, US
Jonathan Miles Collin Rosenoer - Marin County CA, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06Q 10/00

US Classification:

705 728

Abstract:

Risk in business management is analyzed based on a probabilistic network approach which quantifies the impact of operational risk on financial metrics such as Value-at-Risk (VAR) and/or Potential Losses (PL). This approach provides further capability to determine the optimal placement of one or more countermeasures within a system to minimize the impact of operational risks.

US Patent:

8019635, Sep 13, 2011

Filed:

Mar 20, 2008

Appl. No.:

12/052440

Inventors:

Lianjun An - Yorktown Heights NY, US
Feng Cheng - Chappaqua NY, US
Thomas Robert Ervolina - Poughquag NY, US
Markus Ettl - Yorktown Heights NY, US
Pu Huang - Yorktown Heights NY, US
Laurence Allan Phillips - Cary NC, US
Karthik Sourirajan - West Lafayette IN, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06Q 10/00

US Classification:

705 723, 705 22, 705 28, 705 29

Abstract:

The adaptive product conditioning is a computer-implemented method for identifying product configurations that can be provided to customers in reaction to supply imbalances. The methodology uses data mining techniques to collect and analyze business level meta data to coordinate supply and sales goals in terms of optimizing profits or managing product and technology transitions.

US Patent:

8239237, Aug 7, 2012

Filed:

May 18, 2011

Appl. No.:

13/110304

Inventors:

Lianjun An - Yorktown Heights NY, US
Feng Cheng - Chappaqua NY, US
Thomas Robert Ervolina - Poughquag NY, US
Markus Ettl - Yorktown Heights NY, US
Pu Huang - Yorktown Heights NY, US
Laurence Allan Phillips - Cary NC, US
Karthik Sourirajan - West Lafayette IN, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06Q 10/00

US Classification:

705 723, 705 22, 705 28, 705 29

Abstract:

The adaptive product conditioning is a computer-implemented method for identifying product configurations that can be provided to customers in reaction to supply imbalances. The methodology uses data mining techniques to collect and analyze business level meta data to coordinate supply and sales goals in terms of optimizing profits or managing product and technology transitions.

US Patent:

8265986, Sep 11, 2012

Filed:

Oct 3, 2008

Appl. No.:

12/245441

Inventors:

Feng Cheng - Chappaqua NY, US
Young Min Lee - Old Westbury NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G05B 19/418
G06F 9/46
G07B 15/00
G07B 15/02
G06G 1/14
G06Q 20/00

US Classification:

705 8, 705 13, 705 22

Abstract:

A system and method for optimizing order fulfillment by considering multiple supply modes in one aspect, plans supply of inventory by forecasting demand, estimating accuracy of said forecasted demand, and establishing reorder point policy based at least on said accuracy of said forecasted demand, a plurality of supply transportation modes, cost of carbon emissions and limit on carbon emission credits. Current inventory position is monitored and if the current inventory position is below the reorder point policy, orders are placed according to a selected shipping method. The selected shipping method may be based at least on customer order priority, transportation budget, and carbon emission limit.

US Patent:

8458014, Jun 4, 2013

Filed:

Aug 9, 2012

Appl. No.:

13/570641

Inventors:

Feng Cheng - Chappaqua NY, US
Young Min Lee - Old Westbury NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G05B 19/418
G06F 9/46
G07B 15/00
G06G 1/14
G06Q 20/00

US Classification:

705 8, 705 13, 705 22

Abstract:

A system and method for optimizing order fulfillment by considering multiple supply modes in one aspect, plans supply of inventory by forecasting demand, estimating accuracy of said forecasted demand, and establishing reorder point policy based at least on said accuracy of said forecasted demand, a plurality of supply transportation modes, cost of carbon emissions and limit on carbon emission credits. Current inventory position is monitored and if the current inventory position is below the reorder point policy, orders are placed according to a selected shipping method. The selected shipping method may be based at least on customer order priority, transportation budget, and carbon emission limit.

US Patent:

8600841, Dec 3, 2013

Filed:

Apr 3, 2008

Appl. No.:

12/062187

Inventors:

Feng Cheng - Chappaqua NY, US
Markus Ettl - Yorktown Heights NY, US
Grace Yuh-Jiun Lin - Chappaqua NY, US
David Da-Wei Yao - Yorktown Heights NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06Q 10/00

US Classification:

705 28, 705 29, 705 22

Abstract:

A manufacturing process is migrated from an existing operation to a configure-to-order (CTO) system. As the CTO operation will eliminate the “machine-type model” (MTM) inventory of the existing operation, the emphasis is shifted to the components, or “building blocks”, which will still follow the build-to-stock scheme, due to their long leadtimes, and hence still require inventory. The solution involves an inventory-service trade-off of the new CTO system, resulting in performance gains, in terms of reduced inventory cost and increased service level. Other benefits include better forecast accuracy through parts commonality and risk-pooling, and increased customer demand, as orders will no longer be confined within a restricted set of pre-configured MTMs.