Feng H 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:

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.

US Patent:

20060100958, May 11, 2006

Filed:

Nov 9, 2004

Appl. No.:

10/983641

Inventors:

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

International Classification:

G06Q 40/00

US Classification:

705038000

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:

20070010904, Jan 11, 2007

Filed:

Jul 8, 2005

Appl. No.:

11/176311

Inventors:

Feng Cheng - Chappaqua NY, US
Thomas Ervolina - Poughquag NY, US
Soumyadip Ghosh - New York NY, US
Barun Gupta - Seymour CT, US
Young Lee - Westbury NY, US

International Classification:

G06F 19/00

US Classification:

700097000, 700099000, 700100000

Abstract:

A system and method estimates performance of a supply chain's available-to-promise (ATP) and scheduling functions under various environmental and process assumptions. The supply chain's transformation alternatives are identified using a plurality of modules constituting a supply chain model and including a demand planning module, a configuration planning module, an order scheduling module and a supply planning module, each of said modules being reconfigurable using various policies, which policies, taken together, specify a particular supply chain design that is to be analyzed. A supply chain data base is accessed by the supply chain model to retrieve data elements that dictate appropriate policies within said plurality of modules. The supply chain performance is simulated based on settings of the modules and other environmental factors including demand uncertainty, order configuration uncertainty, supplier flexibility, supply capacity, and demand skew. Based on the simulation, scheduling and fill rate of new business settings are evaluated to determine if improvements to the supply chain are satisfactory.