Abstract
In order to enhance product competitiveness, customer satisfaction, and achieve quick response, it is common now for enterprises to become members of supply chains. In this paper, a replenishment policy for supply chain was optimized. It is a dynamic lot-sizing problem with deterioration. Most historical literatures consider deteriorations of end products. In practice, many raw materials possess significant deterioration effects, such as fishery and agricultural products. Therefore, this paper proposed a dynamic lot-sizing problem with deteriorating raw material. The point for this problem is to achieve a trade-off between excessive stocks and material deficiency. This paper proved that the proposed problem is NP-hard, and some properties of the proposed problem were also analyzed. Recently, techniques of artificial intelligence are becoming more and more mature, and are widely applied in various fields. In this paper, an ant colony optimization based on those properties was developed.
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Wong, JT., Chen, KH., Su, CT. (2009). Replenishment Policy with Deteriorating Raw Material Under a Supply Chain: Complexity and the Use of Ant Colony Optimization. In: Yang, J., Ginige, A., Mayr, H.C., Kutsche, RD. (eds) Information Systems: Modeling, Development, and Integration. UNISCON 2009. Lecture Notes in Business Information Processing, vol 20. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01112-2_15
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DOI: https://doi.org/10.1007/978-3-642-01112-2_15
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