A conceptual framework of a decision support system for operational dispatching of agricultural bulk goods - an agent-based approach

Autor(en): Mehmann, J.
Teuteberg, F. 
Stichwörter: Agriculture; Artificial intelligence; Conceptual frameworks; Decision Support System; Decision supports; Dispersed structure; Fourth Party Logistics (4PL); Multi agent systems; Multi-Agent System; Optimization techniques; Processing industry; Transportation planning, Decision support systems; Transportation, Agent-based approach
Erscheinungsdatum: 2014
Herausgeber: Springer Verlag
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen: 8732
Startseite: 121
Seitenende: 137
Zusammenfassung: 
Transportation planning may imply versatile and complex decision problems. The most distinctive feature of agricultural transportation planning is: a dynamic and rapid transaction of harvesting processes. During the harvesting process various actors such as farmers, contractors, agricultural traders, transportation companies and processing industries have to collaborate. This contribution presents a conceptual framework of a decision support approach for operational dispatching and its implementation based upon a multi-agent system (MAS). This agent-based approach enables users to conflate dispersed structure information, apply optimization techniques and provide a goal-oriented planning and transaction of transportation. © Springer International Publishing Switzerland 2014.
ISSN: 03029743
DOI: 10.1007/978-3-319-11584-9_9
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84921518724&doi=10.1007%2f978-3-319-11584-9_9&partnerID=40&md5=18ea526223669ba81383e4309c8fe3d4

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