U.S. patents available from 1976 to present.
U.S. patent applications available from 2005 to present.

Available to promise allocation optimization tool

Patent 7386358 Issued on June 10, 2008. Estimated Expiration Date: Icon_subject June 30, 2026. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

System and method for extended enterprise planning across a supply chain
Patent #: 5974395
Issued on: 10/26/1999
Inventor: Bellini, et al.

System and process for inter-domain planning analysis and optimization using model agents as partial replicas of remote domains
Patent #: 6332130
Issued on: 12/18/2001
Inventor: Notani, et al.

Method and system for optimizing request-promise workflows
Patent #: 6895384
Issued on: 05/17/2005
Inventor: Dalal

System and method for managing ATP data in a distributed supply chain planning environment Patent #: 6963847
Issued on: 11/08/2005
Inventor: Kennedy, et al.

Inventor

Assignee

Application

No. 11427900 filed on 06/30/2006

US Classes:

700/99Resource allocation

Examiners

Primary: Picard, Leo P.
Assistant: Rapp, Chad

Attorney, Agent or Firm

International Class

G06F 19/00

Abstract

A distributed, network-based system, method, and computer program product determines an optimal allocation of available to promise components in a supply chain. An aggregate demand request is generated by a demand entity intelligent agent. The aggregate demand request is propagated via a network throughout the supply chain to a plurality of supply entity intelligent agents. The supply entity intelligent agents respond with an evaluation of available to promise supply capability. Optimal allocation of the available to promise supply is made by calculating a sequence of squared set solutions of unit demand problems using a message-based communications protocol between the demand entity and supply entity intelligent agent.

Other References

  • Eschenbacher, Jens et al. “Demand Chain Optimization by using Agent Technology,” In Proceedings of the IFIP WG 5.7 Conference held in Tromso, Norway from Jun. 28-30, 2000.
  • Strader, Troy J. et al., “Simulation of Order Fulfillment in Divergent Assembly Supply Chains,” Journal of Atificial Societies and Social Simulation. Mar. 31, 1998, vol. 1, No. 2, .
  • Yuan, Yufei et al., “Using Agent Technology to Support Supply Chain Management: Potentials and Challenges,” Michael G. Degrotte School of Business Working Papers No. 453, Oct. 2001, .
  • Nissen, Mark, “Supply Chain Process and Agent Design for E-Commerce”, 2000, IEEE, pp. 1-10.
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  • Jiao et al., “An agent-based framework for collaborative negotaition in the global manufactruing supply chain network”, Apr. 28, 2005, Elsevier, pp. 239-255.
  • Sadeh et al., “MASCOT: An Agetn-Based Architecture for Coordinated Mixed-Initiative Supply Chain Planning and Scheduling”, May 1, 1999, pp. 1-16.
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