TY - GEN
T1 - Agent based material transfer scheduling in steel works
AU - Kikuchi, Junji
AU - Konishi, Masami
AU - Imai, Jun
PY - 2007/1/1
Y1 - 2007/1/1
N2 - In steel works, locomotives are used to transport products between factories. To attain the stable production, it is necessary to make an appropriate route plan for transferring products between plants effectively and smoothly. However, in a large-scale transportation system of steel works, a lot of products with variety of specification and weight are are treated. As the result, calculation time to make route plan increases, and it is difficult to correspond to frequent transfer request. In this paper, product transfer route planning method in steel works using autonomous decentralized agent is proposed. In the proposal method, each locomotive is considered as an agent, and each locomotive makes the route plan autonomously. In route planning, the problem is to determine transfer route to minimize transportation time with avoiding the collision of locomotives. The entire route plan is cooperatively optimized by each agent repeating an individual optimization of route plan and information exchange.
AB - In steel works, locomotives are used to transport products between factories. To attain the stable production, it is necessary to make an appropriate route plan for transferring products between plants effectively and smoothly. However, in a large-scale transportation system of steel works, a lot of products with variety of specification and weight are are treated. As the result, calculation time to make route plan increases, and it is difficult to correspond to frequent transfer request. In this paper, product transfer route planning method in steel works using autonomous decentralized agent is proposed. In the proposal method, each locomotive is considered as an agent, and each locomotive makes the route plan autonomously. In route planning, the problem is to determine transfer route to minimize transportation time with avoiding the collision of locomotives. The entire route plan is cooperatively optimized by each agent repeating an individual optimization of route plan and information exchange.
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U2 - 10.1109/ICICIC.2007.119
DO - 10.1109/ICICIC.2007.119
M3 - Conference contribution
AN - SCOPUS:39049156933
SN - 0769528821
SN - 9780769528823
T3 - Second International Conference on Innovative Computing, Information and Control, ICICIC 2007
BT - Second International Conference on Innovative Computing, Information and Control, ICICIC 2007
PB - IEEE Computer Society
T2 - 2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
Y2 - 5 September 2007 through 7 September 2007
ER -