竞争环境下随机产出供应商的融资策略研究

考虑由一个制造商和两个竞争性供应商组成的供应链系统,其中一个供应商存在资金短缺的问题,自有资金不足以完成正常生产任务,需要通过融资获得资金完成生产。针对供应链内部和外部两种融资模式,分别构建了供应链成员的收益模型,计算了不同融资方式下的决策结果,并在此基础上对两种融资模式进行了比较分析。结果表明,资金短缺的供应商生产不确定性较低时,供应链成员所能获得的利润较高,并且内部融资下资金短缺的供应商生产积极性高于外部融资。同时发现,对融资方式偏好的不一致将导致制造商利润损失,此时制造商可以采取一定的激励措施引导供应商选择合适的融资方式以提高整体收益。     

双模纠缠相干光场控制下双光子过程中有效二能级原子的信息熵压缩

根据量子信息理论,研究了与双模纠缠相干场相互作用双光子过程中有效二能级原子的信息熵压缩.讨论了场的初态对信息熵压缩的因影响,并且比较了分别从基于信息熵测不准关系和海森堡测不准关系出发得出的结果.结果表明:信息熵压缩的稳定周期性、压缩方向分别由场的平均光子数和方向角控制,场的纠缠度对信息熵压缩不产生影响.信息熵压缩实现了对原子压缩效应的高灵敏量度.     

由多模奇偶相干态组成的第种四态叠加多模叠加态光场的等阶N次方Y压缩

本文根据量子力学中的线性叠加原理,构造了由多模复共轭奇相干态与多模复共轭偶相干态所组成的第Ⅱ种四态叠加多模叠加态光场|Ψ_o,e⁽⁴⁾Ⅱ>_q.利用多模压缩态理论,研究了态|Ψ_o,e⁽⁴⁾Ⅱ>_q的等阶N次方Y压缩特性.结果发现:1)多模叠加态光场|Ψ_o,e⁽⁴⁾Ⅱ>_q中,压缩阶数N为偶数时,只存在等阶N-Y最小测不准态;2)多模叠加态光场|Ψ_o,e⁽⁴⁾Ⅱ>_q,在压缩阶数为奇数时,随着腔模总数q、态间相位差(θ_e-θ_o)、各模初相位φ_j以及态的几率幅值r_e和r_o及平均光子数R_j²等取不同的组合定值时,可呈现以下几种状态:①等阶N-Y最小测不准态、②“半相干态”、③“半压缩态”;3)本文构造的多模叠加态|Ψ_o,e⁽⁴⁾Ⅱ>_q与文献17、18研究的多模叠加态|Ψ_o,e⁽⁴⁾Ⅰ>_q在相同的条件下呈现出完全相同的压缩特性,故态|Ψ_o,e⁽⁴⁾Ⅱ>_q与态|Ψ_o,e⁽⁴⁾Ⅰ>_q之间存在着“压缩简并”现象.     

Adaptive Inverse Control Using a Gradient-Projection Optimization Technique

As an application of an optimization technique, a gradient-projection method is employed to derive an adaptive algorithm for updating the parameters of an inverse which is designed to cancel the effects of actuator uncertainties in a control system. The actuator uncertainty is parametrized by a set of unknown parameters which belong to a parameter region. A desirable inverse is implemented with adaptive estimates of the actuator parameters. Minimizing an estimation error, a gradient algorithm is used to update such parameter estimates. To ensure that the parameter estimates also belong to the parameter region, the adaptive update law is designed with parameter projection. With such an adaptive inverse, desired control system performance can be achieved despite the presence of the actuator uncertainties.     

Quantum equilibrium and the origin of absolute uncertainty

The quantum formalism is a measurement formalism-a phenomenological formalism describing certain macroscopic regularities. We argue that it can be regarded, and best be understood, as arising from Bohmian mechanics, which is what emerges from Schrödinger's equation for a system of particles when we merely insist that particles means particles. While distinctly non-Newtonian, Bohmian mechanics is a fully deterministic theory of particles in motion, a motion choreographed by the wave function. We find that a Bohmian universe, though deterministic, evolves in such a manner that anappearance of randomness emerges, precisely as described by the quantum formalism and given, for example, by = ¦¦ ². A crucial ingredient in our analysis of the origin of this randomness is the notion of the effective wave function of a subsystem, a notion of interest in its own right and of relevance to any discussion of quantum theory. When the quantum formalism is regarded as arising in this way, the paradoxes and perplexities so often associated with (nonrelativistic) quantum theory simply evaporate.This paper is dedicated to the memory of J. S. Bell.     

多时滞非线性中立型反馈系统的鲁棒稳定性

The stabilization of a class of neutral systems with multiple time-delays is considered. To stabilize the neutral system with nonlinear uncertainty, a state feedback control law via compound memory and memoryless feedback is derived. by constructed Lyapunov functional, delay-independent stability criteria are proposed that are sufficient to ensure a uniform asymptotic stability property. Finally, two concise examples are provided to illustrate the feasibility of our results.     

具有模糊需求的闭环供应链网络均衡

利用模糊事件的可信性测度理论、变分不等式理论建立了具有模糊需求的闭环供应链网络均衡模型,其中闭环供应链网络中的制造/再制造工厂存在产能约束,消费市场存在商品限制性价格上限.设计了求解闭环供应链网络均衡解的投影收缩算法,结合数值算例分析了产能约束与限制性价格上限对闭环供应链网络均衡解的影响.结果表明:消费市场中的商品会发生短缺,如果政府对竞争市场实行限制性价格上限,尤其当存在产能约束时商品短缺会更为严重.     

The effect of supply uncertainty in price-setting newsvendor models

We consider a price-setting newsvendor model in which a firm needs to make joint inventory and pricing decisions before the selling season. The supply process is uncertain such that the received quantity is the product of the order quantity and a random yield rate. Two cost structures are investigated, the in-house production case in which the firm pays for the input quantity and the procurement case in which the firm pays for the quantity received only. Our objective is to investigate the effect of yield randomness on optimal decisions and expected profit. By using the theory of stochastic comparisons, we find that under both cost structures, a less variable yield rate leads to a lower optimal price and a higher expected profit. Moreover, we show that in the in-house production case, a stochastically larger yield rate also results in a lower optimal price and a higher profit, but this is not true in the procurement case. Examples show that the effect of supply uncertainty on optimal order quantity is not universal.     

通胀环境下股价波动率具有奈特不确定的最优消费与投资问题

本文在通胀环境和连续时间模型假设下,研究股票价格波动率具有奈特不确定对投资者的最优消费和投资策略的影响．首先在通胀环境和股票价格波动率具有奈特不确定的条件下,建立最优消费与投资问题的随机控制数学模型,得到了最优消费与投资所满足的HJB方程,并在常相对风险厌恶效用的情形下,获得最优化问题值函数的显式解．其次在通胀环境中当股价波动率具有奈特不确定时,得到了含糊厌恶的投资者是基于股价波动率的上界作出决策,并给出了投资者的最优投资和消费策略．最后在给定参数的条件下,对所得结果进行数值模拟和经济分析．     

Fuzzy linear programming under interval uncertainty based on IFS representation

The equivalence between the interval-valued fuzzy set (IVFS) and the intuitionistic fuzzy set (IFS) is exploited to study linear programming problems involving interval uncertainty modeled using IFS. The non-membership of IFS is constructed with three different viewpoints viz., optimistic, pessimistic, and mixed. These constructions along with their indeterminacy factors result in S-shaped membership functions in the fuzzy counterparts of the intuitionistic fuzzy linear programming models. The solution methodology of Yang et al. [45], and its subsequent generalization by Lin and Chen [33] are used to compute the optimal solutions of the three fuzzy linear programming models.