Supplier‐buyer contracting: Asymmetric cost information and cutoff level policy for buyer participation

We consider the problem of designing a contract to maximize the supplier's profit in a one‐supplier–one‐buyer relationship for a short‐life‐cycle product. Demand for the finished product is stochastic and price‐sensitive, and only its probability distribution is known when the supply contract is written. When the supplier has complete information on the marginal cost of the buyer, we show that several simple contracts can induce the buyer to choose order quantity that attains the single firm profit maximizing solution, resulting in the maximum possible profit for the supplier. When the marginal cost of the buyer is private information, we show that it is no longer possible to achieve the single firm solution. In this case, the optimal order quantity is always smaller while the optimal sale price of the finished product is higher than the single firm solution. The supplier's profit is lowered while that of the buyer is improved. Moreover, a buyer who has a lower marginal cost will extract more profit from the supplier. Under the optimal contract, the supplier employs a cutoff level policy on the buyer's marginal cost to determine whether the buyer should be induced to sign the contract. We characterize the optimal cutoff level and show how it depends on the parameters of the problem. © 2001 John Wiley & Sons, Inc. Naval Research Logistics 48: 41–64, 2001     

分布式A2C2决策队设计

现代战争的特点是高度的分布式协同作战。面对瞬息万变的战场需求 ,完成分布协同作战的指挥自动化系统 ,就必须能够自动适应战场需求变化 ,不断改变指挥系统组织结构。因此 ,实现指挥自动化系统的中心工作是建立 C2系统自适应变结构决策队组织。论述了建立自适应分布式指挥决策组织结构的有关问题 ,研究了在分布式条件下 ,自适应 C2决策队结构的设计。     

辅助鞅下投资消费资产模型的一些基本性质

针对所给出的有交易费的资产模型,引入了资产折算函数,并利用辅助鞅和凸函数对偶方法,讨论了该模型下折算资产优化的性质.     

一种无师训练的模糊极小极大人工神经网络

提出了一种无师训练的fuzzymin max人工神经网络,它兼有一般fuzzymin max网与ART2网的优点,既弥补了fuzzymin max网不能自适应在线学习新类的缺陷,又消除了ART2网警戒门限过高的弊病.经模式识别仿真对比,对同样的输入数据,文中提出的网络用较低的警戒门限值即可达到ART2用很高的警戒门限值才能达到的分类效果,且计算量大大减少.得到的结论是:对模式识别而言,文中提出的网络比fuzzymin max网和ART2网更具有实用价值.     

神经网络技术及其在机器耳监测仪中的应用

介绍了利用GAL算法对装备产生的声音信号进行处理,改进完善了基于竞争学习的GAL神经网络。测试结果表明,基于GAL算法的智能耳诊断系统的识别精度和自学习方面优于传统算法。     

装备采办市场的逆向选择及其根治策略——一种根治采办市场逆向选择的机制设计

在分析装备采办市场逆向选择的基础上,从军方对军工企业支付合同的设计出发,提出了一种根治装备采办市场逆向选择的可行的可实施机制,该机制对我军建立相关制度、采取相关措施以防范和根治装备采办市场的逆向选择具有一定的借鉴和指导意义.     

雷达网信息传输能力评估算法动态仿真

基于对连通概率、时效性函数、误信率的具体界定,对雷达网的信息传输能力进行了系统的研究。提出了一种具有良好操作性的定量评估方法,并对传输时延动态估计算法进行了仿真。     

析行政法的平衡论

从行政立法、行政执法、权力手段的淡化、行政救济制度的出现等方面论述了平衡论是现代行政法的精义 ,并阐明了以平衡论指导行政法的重大意义及如何正确、全面看待平衡论。     

车用CAN网络瞬态干扰的来源及控制

CAN网络结构设计对其抗干扰特性的影响很大,良好的结构设计可以提高系统的稳定性,从车内CAN网络被干扰的实际问题入手,通过对CAN网络上采集到的干扰信号进行研究,结合车内电子部件的工作原理及发生电磁干扰的原理,分析产生此问题的原因,提出解决方案,并通过测试验证了解决方案的有效性,通过干扰发生器施加更大强度的干扰的方法,验证了改进方案的安全裕度,达到使用要求。     

Rolling‐horizon replenishment: Policies and performance analysis

We consider a rolling‐horizon (RH) replenishment modeling framework under which a buyer can update demand information and inventory status, modify order quantities committed previously, place an advanced order for a new period at the end of the RH, and move along in time seamlessly. We show that the optimal order policy for the two‐period RH problem is a dual‐threshold type for updating period(s) plus a base‐stock type for the advanced order. We provide analytical formulas and algorithms to compute the optimal thresholds and the optimal base‐stock level exactly. With our analytical results and numerical procedures, we demonstrate the significant value of RH replenishment in matching supplies to demands more closely. We also show that with RH updating (flexibility), the value of additional demand information beyond the RH diminishes quickly. © 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010