中文摘要：

基于寄售情形，考虑需求不确定和需求预测准确度可提高的情况下，建立由一个制造商和一个零售商组成的供应链订货批量模型，分析结果表明：在需求预测准确度一定的情况下，制造商在决策产品转让价格时，能够使自身利益与供应链整体利益趋于一致；在零售商可以通过投入成本提高需求预测准确度的情况下，供应链分散决策时，由于零售商提高需求预测准确度的投入动力不足，结果导致供应链总收益比供应链集中决策时更少；当产品的存货资金占用成本相比其仓储费用较高时，通过制造商与零售商之间的投入成本分担能够使双方均受益，从而实现整个供应链的帕累托优化，但不能使整个供应链实现最优化，且产品的存货资金占用成本相比其仓储费用越高，制造商愿意分担的投入成本份额越大；当产品的存货资金占用成本相比其仓储费用越高或产品的市场需求越不确定时，双方在收益共享模式下的集中决策比单项投入成本分担策略的优势更明显。

英文摘要：

Based on the consignment stock and the condition that demand forecast accuracy can be improved, the model of ordering lot sizes in a supply chain with one-manufacturer and one-retailer is established. The results illustrate that if demand forecast accuracy is certain, the benefit of manufacturer is consistent with the whole supply chain when the manufacturer decides the transfer price of product. When demand forecast accuracy may be improved, the income of the whole supply chain in the supply chain decentralized decision is less than centralized decision because of less investment of the retailer in improving demand forecast accuracy. When the ratio of the inventory capital taking up cost to the warehousing cost of product is higher, it has benefited both parties by sharing the cost of improving demand forecast accuracy, thus make the whole supply chain achieve Pareto optimization, but can not maximize the benefit of the supply chain. Moreover, the larger this ratio is, the more proportion of cost in improving demand forecast accuracy the manufacturer is willing to share with the retailer. However, the higher the ratio or the uncertainty of product demand is, the supply chain centralized decision based on the mechanism of cooperating revenue sharing with between the manufacturer and the retailer has significant advantage over the strategy of cost sharing with both only in improving demand forecast accuracy.