Distributed Intelligent Agents for Logistics (DIAL)

Miranda L. Moore, R. Bryan Reyns, Soundar Rajan Tirupatikumara, John R. Hummel

Research output: Contribution to journalConference article

6 Citations (Scopus)

Abstract

The Distributed Intelligent Agents for Logistics (DIAL) is an open systems architecture that allows existing models to interface and communicate in a distributed network environment. The design is based on a multi-agent framework where a customer's problem can be decomposed and assigned to one or more (as needed) intelligent agents which together generate a logistics plan. An agent is a piece of software code that acts upon receiving information from a source (a model) and reasons using its internal knowledge. Many existing models simulate the different logistics operations; however, the models do not interact with each other and are not affected by each other's results. Therefore, it is difficult to model and analyze the logistics process as a whole. One solution is for the models to act as nodes in a network that simulates the entire logistics process. A group of agents, or a multi-agent system, is best suited to solve such real world problems, with each agent representing a node of the graph. This paper describes a distributed intelligent agent architecture for logistics.

Original languageEnglish (US)
Pages (from-to)2782-2787
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume3
StatePublished - Dec 1 1997

Fingerprint

Intelligent agents
Logistics
Open systems
Multi agent systems
Interfaces (computer)

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Hardware and Architecture

Cite this

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Distributed Intelligent Agents for Logistics (DIAL). / Moore, Miranda L.; Reyns, R. Bryan; Tirupatikumara, Soundar Rajan; Hummel, John R.

In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Vol. 3, 01.12.1997, p. 2782-2787.

Research output: Contribution to journalConference article

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AU - Moore, Miranda L.

AU - Reyns, R. Bryan

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