Extending raw materials ordering policy with genetic algorithm

吉林大学学报(工学版) ›› 2004, Vol. ›› Issue (3): 459-464.

Extending raw materials ordering policy with genetic algorithm

YU Yugang^1,2, LIANG Liang¹, WANG Zhiqiang¹, WANG Lei¹

1. School of Business, University of Science and Technology of China, Hefei 230026, China;
2. Department of Industrial and Manufacturing System Engineering, University of Hong Kong, Hong Kong, China

Received:2004-02-20 Online:2004-07-01

Abstract

Abstract: A fractional-integral multiple ordering method was proposed to improve the integral multiple ordering method in material procurements. To illustrate the improvement effect, a new model considering a fractional-integral multiple ordering method was presented to extend the model proposed by Woo, Hsu, and Wu (2001), and a genetic algorithm was developed to resolve the modified model. Finally a numerical study based on the example used by Woo, Hsu, and Wu was presented to illustrate that the proposed model provided a lower or equal joint total relevant cost compared with Woo, Hsu, and Wu's model.

Key words: vendor managed inventory, integrated model, lot size

CLC Number:

TP319

YU Yugang, LIANG Liang, WANG Zhiqiang, WANG Lei. Extending raw materials ordering policy with genetic algorithm[J].吉林大学学报(工学版), 2004, (3): 459-464.

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