Optimiation Search Algorithm of Allocation Planning for Strip Coils in Hold for Shipment by Using Operational Know-how
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概要
- 論文の詳細を見る
In the allocation planning of steel products in the hold of a ship, because the restriction which should be considered is complex and the problem scale is very large, planning systematization was difficult in the past. In this paper we study a scheduling algorithm of the allocation problem of steel products such as strip coils and sheets in the hold of a ship. Since steel products are usually stowed hierarchically in a hold, this planning becomes a three-dimensional allocation problem. First, we express the stowing-position of the products as three-dimensional integer coordinates, and model them as a combinatorial optimization problem. Next, the weight balance of the ship, loading ratio, and work efficiency of stowing are evaluated quantitatively, and they are optimized by applying the SA (Simulated Annealing) method. To obtain a preferable solution in practical time, we take the stowing know-how which the operators have in the evaluation function, and can make the search process efficient. In addition, to confirm the effectiveness of the proposed algorithm, several case studies have been carried out with actual data. Through the case studies, it has been found that the evaluation function involving the operation know-how term could reduce more unloaded coils assuring qualities of other evaluation items than the best solution obtained by the evaluation function without know-how term.
- 社団法人 日本鉄鋼協会の論文
- 2001-05-15
著者
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Konishi Masami
Faculty Of Engineering Okayama University
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Kitamura Akira
Process Technology Research Laboratory Kobe Steel Ltd.
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UMEDA Toyohiro
Process Technology Research Laboratory, Kobe Steel Ltd.
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KANAMURA Shinzo
Kobelco System Ltd.
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TAKAMI Shinji
Kobelco System Ltd.
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Umeda Toyohiro
Process Technology Research Laboratory Kobe Steel Ltd.
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KITAMURA Akira
Process Technology Research Laboratory, Kobe Steel Ltd.
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- Optimiation Search Algorithm of Allocation Planning for Strip Coils in Hold for Shipment by Using Operational Know-how