The impact of operational decisions on the design of salesforce incentives

When facing high levels of overstock inventories, firms often push their salesforce to work harder than usual to attract more demand, and one way to achieve that is to offer attractive incentives. However, most research on the optimal design of salesforce incentives ignores this dependency and assumes that operational decisions of production/inventory management are separable from design of salesforce incentives. We investigate this dependency in the problem of joint salesforce incentive design and inventory/production control. We develop a dynamic Principal‐Agent model with both Moral Hazard and Adverse Selection in which the principal is strategic and risk‐neutral but the agent is myopic and risk‐averse. We find the optimal joint incentive design and inventory control strategy, and demonstrate the impact of operational decisions on the design of a compensation package. The optimal strategy is characterized by a menu of inventory‐dependent salesforce compensation contracts. We show that the optimal compensation package depends highly on the operational decisions; when inventory levels are high, (a) the firm offers a more attractive contract and (b) the contract is effective in inducing the salesforce to work harder than usual. In contrast, when inventory levels are low, the firm can offer a less attractive compensation package, but still expect the salesforce to work hard enough. In addition, we show that although the inventory/production management and the design of salesforce compensation package are highly correlated, information acquisition through contract design allows the firm to implement traditional inventory control policies: a market‐based state‐dependent policy (with a constant base‐stock level when the inventory is low) that makes use of the extracted market condition from the agent is optimal. This work appears to be the first article on operations that addresses the important interplay between inventory/production control and salesforce compensation decisions in a dynamic setting. Our findings shed light on the effective integration of these two significant aspects for the successful operation of a firm. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 320–340, 2014     

基于星架系统结构参数的卫星载荷减振方法

卫星工程中广泛采用的有效载荷支架结构可能会与卫星主体结构发生动力耦合,进而造成有效载荷响应显著放大。进一步将有效载荷支架与卫星主体结构考虑为一个整体系统(称为星架系统)。采用有限元方法建立某型卫星系统级动力学分析模型,从中提取结构参数建立集中参数模型,并针对结构参数进行单变量影响分析。结果表明:所建集中参数模型能够反映支架结构与卫星主体结构之间动力耦合规律,载荷响应对两者频率参数的敏感程度远高于其阻尼和质量参数,卫星结构设计阶段应重点考量主体结构和支架结构频率关系以优化卫星载荷的动力学环境。     

基于压力间断解析解对AUSM -up格式的修正*

AUSM -up格式是AUSM类系列格式中最完善的,通过在对流通量中引入压力耗散,同时在压力通量中引入速度耗散,使之在各种马赫数下均有良好的收敛性和稳定性。然而,通过对格式的分析,我们发现当马赫数为零时,在压力间断位置会出现质量通量无穷大的非物理现象。为了克服这一缺陷,采用特征线法获得了压力间断问题的解析解;以此为基础,对对流通量中的压力耗散项进行修正,发展出新的AUSM -up格式。以新的格式对不同速度驱动下的冲击波发展、不同强度压力间断问题和激波衍射问题进行了仿真,计算结果与理论解吻合得较好。     

多旋翼无人机减振分析与实验

针对多旋翼无人机机身系统振动过大导致飞行状态不稳的问题,基于有限元仿真技术与实验方法,进行了减振分析。通过频率分析,确定系统振动过大的原因为固有频率与激励频率耦合导致的共振现象,且共振频点的模态振型包含一阶挥舞、一阶摆振和二阶摆振振型。提出了优化机身壳体截面形状的设计方案,在不增加额外质量的情况下,将一阶挥舞、一阶摆振和二阶摆振振型对应的频点分别提高37.23%、22.47%和18.43%,有效规避了机身共振现象。仿真实验证明,提出的有限元仿真与实验结合的减振分析思〖BHDWG8,WK10YQ,DK1*2,WK1*2D〗〖XCMWL.TIF;%129%129〗听语音 聊科研与作者互动 路及优化设计方法,可为旋翼无人机减振设计提供参考依据。     

On the uncapacitated K‐commodity network design problem with zero flow‐costs

Extending Sastry's result on the uncapacitated two‐commodity network design problem, we completely characterize the optimal solution of the uncapacitated K‐commodity network design problem with zero flow costs for the case when K = 3. By solving a set of shortest‐path problems on related graphs, we show that the optimal solutions can be found in O(n³) time when K = 3, where n is the number of nodes in the network. The algorithm depends on identifying a list of “basic patterns”; the number of basic patterns grows exponentially with K. We also show that the uncapacitated K‐commodity network design problem can be solved in O(n³) time for general K if K is fixed; otherwise, the time for solving the problem is exponential. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004     

基于进化搜索策略的并行子空间设计算法

并行子空间设计是一种有效的多学科设计优化算法,但其搜索策略存在两点不足:一是寻找全局最优解能力有限,二是计算复杂。为弥补上述不足,将遗传算法应用到CSD算法中,提出了一种基于进化搜索策略的CSD算法。介绍了该算法的设计流程,应用该算法对一测试问题进行了优化,取得了满意结果。     

一种用于机电产品测试性设计的传感器优选MINLP模型

在单故障假设条件下,考虑了传感器的失效概率和设备的故障率,提出一种以故障检测率和故障隔离率为约束条件的降低传感器费用和失效概率的混合整数非线性规划(MINLP)模型,从而为机电产品测试性设计中传感器选择问题提供了一种可行和有效的解决方法,并进行了案例验证,说明了该方法的有效性。     

一个二阶精度的大粒子有限体积方法

对二维Euler方程给出一个二阶精度的非结构网格有限体积方法,方法的主要思想是把Euler方程的一个时间步分两步计算:第一步只考虑压力加速效应,第二步再考虑输运效应,离散过程中采用一种具有最小二乘思想的线性重构函数以计算交界面的流通量,数值实验表明该方法是非常有效的。     

航站楼消防设计若干问题探讨

消防设计的合理性对于航站楼安全运行具有重要意义。目前,国内尚未出台航站楼设计防火规范,因此,航站楼消防设计还处于探索和积累经验的阶段。介绍了航站楼消防设计四个阶段、重要设计难点,结合工程实际问题,对消防设计思路系统化进行了梳理,力图为设计者提供少许帮助。