NDLI: An agent-based distributed scheduling for military logistics

Content Provider	IEEE Xplore Digital Library
Author	Kaddoussi, A. Zoghlami, N. Hammadi, S. Zgaya, H.
Copyright Year	2011
Description	Author affiliation: Ecole Centrale de Lille Cité Scientifique - BP 48, 59651 Villeneuve d'Ascq, France (Kaddoussi, A.; Zoghlami, N.; Hammadi, S.) \|\| Institut Lillois d'Ingénierie de la Santé 42, rue Ambroise Paré, 59120-LOOS France (Zgaya, H.)
Abstract	There has been a significant increase in the improvement of response to disasters in crisis management supply chain. Due to their sudden occurrence, these disasters require a consequent quick and efficient response that depends on the ability of logistics systems to generate plans under a variety of constraints. The supply chain studied in this work is a crisis management supply chain, composed of several elements such as transportation means, loading units, suppliers, equipment, resources, persons… We propose an innovative method for solving a distributed delivery scheduling problem, based on a multi-agent system, for the delivery of goods (food, water, clothes, etc.) to the areas affected by the disaster. The covered areas are geographically distributed and partitioned into multiple sub-regions. Each area is assigned a delivery scheduling sub problem. By employing a distributed cooperative framework, we achieved an incorporation of various evaluation parameters in the process of scheduling in order to maintain a high level of synchronization of all the supply chain, and so to insure a better response to the crisis.
Starting Page	59
Ending Page	64
File Size	1533688
Page Count	6
File Format	PDF
ISBN	9781457716768
ISSN	21647151
e-ISBN	9781457716768
DOI	10.1109/ISDA.2011.6121631
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-22
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Scheduling Intelligent systems Optimization Multi-agent systems Military logitics
Content Type	Text
Resource Type	Article

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