Intelligent combinatorial auctions of decentralized task assignment for AGV with multiple loading capacity

Muhammad Hafidz Fazli bin Md Fauadi, Saifudin Hafiz Yahaya, Tomohiro Murata

研究成果: Article

8 引用 (Scopus)

抜粋

The need to have an effi{ligature}cient transportation system has attracted worldwide attention. Although there is increasing demand to implement distributed control system for industrial applications, there is still an unexplored potential of deploying distributed transportation system. This paper focuses on dynamic assignment of transportation requests to a fl{ligature}eet of vehicles in real time. We introduce an improved combinatorial auction methodology to accommodate the distributed task assignment procedure. Based on a multiagent architecture, each vehicle is represented by an intelligent agent that bids for task and plans its own schedule. On the other hand, the auctioneer has the objective of minimizing transportation tardiness. An automated guided vehicle (AGV) has been selected as the case study, and numerical experiments have been carried out. The result obtained shows that the improved task assignment approach is able to produce performance competitive to a conventional task assignment.

元の言語English
ページ(範囲)371-379
ページ数9
ジャーナルIEEJ Transactions on Electrical and Electronic Engineering
8
発行部数4
DOI
出版物ステータスPublished - 2013 7

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

フィンガープリント Intelligent combinatorial auctions of decentralized task assignment for AGV with multiple loading capacity' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用