A Novel Adaptive Intelligent Agent Framework for Agile Supply Chain Management supporting Naval Weapons Planning, Plan Repair, and Scheduling

Award Information
Agency:
Department of Defense
Amount:
$149,431.00
Program:
SBIR
Contract:
N68335-09-C-0485
Solitcitation Year:
2009
Solicitation Number:
2009.2
Branch:
Navy
Award Year:
2009
Phase:
Phase I
Agency Tracking Number:
N092-096-0970
Solicitation Topic Code:
N092-096
Small Business Information
Probus Test Systems Inc
716 Newman Springs Rd #285, Lincroft, NJ, 07738
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
Y
Duns:
099828910
Principal Investigator
 Manuel Fuentes
 President
 (732) 758-8024
 mfc@probussys.com
Business Contact
 Manuel Fuentes
Title: President
Phone: (732) 758-8024
Email: mfc@probussys.com
Research Institution
N/A
Abstract
This document presents a computational model for problems pertaining to the planning, plan repair, and scheduling of weapons handling in aircraft carriers. This class of complex problems can be represented by a supply chain of a manufacturing enterprise with networked weapon component suppliers, factories, warehouses, quality assurance sites, and distribution centers. Through the supply chain, weapons components are acquired, transformed into weapon products, and delivered-to or returned-from customers. In the proposed framework, supply chain elements such as resources, functions, and decision-points, are represented by autonomous intelligent agents. This project will research system architectures based on a loose aggregation of intelligent agents that collectively represent an agile weapon supply chain management system. We propose the concept of groups of agents based on the biological cell paradigm. Agents form virtual organizations able to adapt constantly to changing missions. Agents will be able to learn from their past experience as well as from observing changes and corrections made by human weapon handling experts. The proposed framework is generic and can be applied without modifications to a large set of similar problems, such as stowage plan generation, load plan execution monitoring, online plan repair, inventory shipment scheduling, and warehouse offload planning.

* information listed above is at the time of submission.

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