公务员招聘的人才软匹配模型

在公务员招聘过程中,如何科学有效地进行人才的安排、分配,也就是让人才与职位或者部门能有效地进行搭配,这是一个关键的问题.利用人才软匹配系统,以CM CM 2004D为例,在既考虑应聘人员意愿,又考虑用人部门期望要求的情况下,建立择优按需录用模型,很好地解决了这个问题.     

基于冰山模型的县域电子商务人才评价研究

县域电子商务人才评价不仅有利于县域电子商务人才的培养和使用,更对人才的成长具有导向作用.考虑到县域电子商务领域缺乏科学准确的人才评价体系,基于冰山模型对县域电子商务人才评价展开研究:首先基于冰山模型对县域电子商务人才素质需求进行分析;然后结合分析结果构建了县域电子商务人才评价指标体系,并采用层次分析法为各项指标赋权;最后基于三角模糊数对某县域电子商务企业人才进行评价,验证了所构建评价指标体系的有效性.     

公务员招聘问题的研究

建立了不符合度、失望度、不满意度等概念,将公务员招聘问题转化为求不满意度总和最小的0—1规划模型,很好地解决了在不考虑和考虑应聘人员意愿的两种情形下公务员招聘的问题.充分体现了录取的公平公正性和对人才的充分利用.     

基于灰色模型的广东高技能物流人才供需预测研究

以广东省为个案,分析传统物流产业转型升级背景下高技能物流人才供需现状.根据2008-2014年广东高技能物流人才供需数据,建立广东高技能物流人才供需量的灰色模型并进行检验,证明模型可用,并对广东高技能物流人才供需量进行预测.研究结果表明:高技能物流人才供给量远远低于市场需求量,供需严重不均衡,人才缺口相差悬殊.这说明广东传统物流产业转型升级导致的结构性人才短缺问题十分突出,同时也反映高校和企业在高技能物流人才培养方面滞后,最后提出相应的对策.     

基于Probit和Tobit模型的异质性企业出口行为决策研究

Melitz的企业异质性理论认为,企业的出口行为选择是由其生产率差异决定的,生产率高的企业会选择出口贸易,而生产率低的企业只供应国内市场.在异质性贸易理论分析框架下,构建了中国企业出口行为决策模型,并基于中国2009年1718家上市公司数据,采用Probit模型和Tobit模型从总体和行业两个层面对中国企业出口行为决策的影响因素进行了实证分析.研究表明,结果显示中国企业数据是符合企业异质性理论的结论.其中,总体研究显示,全要素生产率越高的企业越倾向于出口,与Melize的结论是吻合的;企业资本越少、员工人数越多企业出口可能性越高;企业盈利状况也与出口选择指标正相关;东部地区企业明显更倾向于出口.行业研究显示,行业因素和国家政策在企业出口行为决策中也起着至关重要的作用.     

基于修正转移概率矩阵的Markov方法在企业人才结构预测中的应用

预测企业人才结构的变化;修正转移概率矩阵的Markov预测方法;用修正转移概率矩阵的Markov模型针对人才结构进行定量预测与分析,对历史数据样本数量要求不多,并且计算简便;获取的计算结果更具客观性、真实性.     

基于满意关联度的人力资源管理的可拓方法

本文首先提出了人才、企业满意关联度的概念 ,并利用满意关联度及满意标准将一个地区的人才划分为四类 ,对应四个不同的状态 :1人才与企业均满意 . 2人才不满意 ,但企业满意 . 3人才满意 ,但企业不满意 . 4人才与企业均不满意 .然后 ,运用马尔柯夫分析法确定了地区人才的稳态概率 ,它是衡量地区人力资源管理方法优劣及人才稳定程度的一个重要数量指标 .最后 ,根据可拓学及人力资源管理的思想方法 ,提出了促成人才状态合理转移的相应措施     

基于多种灰色模型对比的广西外贸加工贸易预测研究——灰色系统理论与应用系列论文之二

根据广西2009-2015年外贸加工贸易的数据,构建多种灰色模型,用残差检验和后验差检验计算小误差概率和均方差比,以此判断各模型的精度,并对广西外贸加工贸易额进行了预测.预测结果表明,新陈代谢模型在广西外贸加工贸易的短期预测中精度较高,Verhulst模型在广西外贸加工贸易的长期预测中精度较高.根据预测结果,提出构建并完善加工贸易数据平台,打造中国—东盟区域性制造中心,高端锁定广西-东盟加工贸易产业链,强化投资便利化与人才吸引力,加大对中小型加工贸易企业的扶持等对策建议.     

一类人员招聘问题的算法研究

在人员招聘工作中,通常有招聘总人数和各部门最低录取人数要求等限制。针对给定的限制条件,本文给出了一类人员招聘问题的数学模型。考虑招聘过程中固定指标为0和机动指标为0的特殊情形,分别给出了相应模型的贪婪算法和匈牙利指派算法,在此基础上给出了求解该问题的一种基于指派问题的一般算法,并对相应的算法的最优性给出了证明,算法的复杂度仅为O(m3)。以公务员招聘的实际算例验证,模型能合理地满足招聘单位的实际需求。     

解读数学文化

按照White L的文化结构性定义,比较诠释数学文化的概念将更能深刻具体地向人们昭示数学的文化本质.然而认识和褒扬数学文化的目的是期望数学教育在丰富人类精神、培养新世纪创新人才的素质教育中全面充分地发挥其育人功能.     

路政应急管理中资源布局的混合整数规划模型

本文根据道路灾害事故的发生特点,对城市路桥养护系统的运行模式和资源的合理调用机理进行分析,考虑到事发地点潜在的资源需求概率,建立资源布局的混合整数规划模型.本模型中资源布局方案的调度决策基础是在灾害事故的资源需求不发生变化的条件下,使得每个救助点的资源同时部分地为辖区内现有事故和潜在事故服务,而现有事故的剩余需求由其他救助点派出资源来满足.该模型的目标是解决城市中因同一时间段内发生两起灾害事故而造成路桥破坏导致的救助资源短缺问题,同时避免资源的闲置浪费.最后,通过算例证明,本方法较通常方法对城市总的资源配置量大大减少.     

Multi-mode resource constrained multi-project scheduling and resource portfolio problem

This paper introduces a multi-project problem environment which involves multiple projects with assigned due dates; activities that have alternative resource usage modes; a resource dedication policy that does not allow sharing of resources among projects throughout the planning horizon; and a total budget. Three issues arise when investigating this multi-project environment. First, the total budget should be distributed among different resource types to determine the general resource capacities, which correspond to the total amount for each renewable resource to be dedicated to the projects. With the general resource capacities at hand, the next issue is to determine the amounts of resources to be dedicated to the individual projects. The dedication of resources reduces the scheduling of the projects’ activities to a multi-mode resource constrained project scheduling problem (MRCPSP) for each individual project. Finally, the last issue is the efficient solution of the resulting MRCPSPs. In this paper, this multi-project environment is modeled in an integrated fashion and designated as the resource portfolio problem. A two-phase and a monolithic genetic algorithm are proposed as two solution approaches, each of which employs a new improvement move designated as the combinatorial auction for resource portfolio and the combinatorial auction for resource dedication. A computational study using test problems demonstrated the effectiveness of the solution approach proposed.     

基于网络图时间参数UTM算法的施工项目资源优化

资源优化是建设工程项目施工计划的一个重要内容.当施工计划某一时段资源用量大于资源限量时,就需调整工作计划重新满足资源限量条件,并使工期不变或延长最少.提出的施工进度计划网络图时间参数的UTM算法和"资源有限、工期最短"的资源优化算法,实现了利用计算机快速计算进行优化,并通过算例验证了算法的有效性.     

Optimal resource acquisition policy for a newsvendor under supply risk

We consider a single-period manufacturing problem involving uncertainty in the availability of a production resource. The resource is stochastically available at the regular cost, but by paying a premium it is possible to reserve and hence guarantee any desired level of the resource in advance. Given the resource consumption rates for a number of products, the manufacturer needs to determine the optimal forward purchase quantity of the resource such that expected profit from selling the products is maximized. The problem is formulated as an extension of the traditional multi-item newsvendor problem. A computational optimization procedure is developed for solving the problem. We find that depending on the profit margins associated with the products, the optimal reservation amount of the resource may increase or decrease as the supply variability increases. The demand volatilities of products are observed to influence the forward purchase quantity of the resource in a similar manner.     

An empirical re-examination of natural resource scarcity and economic growth

This paper is concerned with the effect of natural resource scarcity on economic growth in the United States. After defining the notion of scarcity and introducing two measures of scarcity—unit costs and relative resource price—changes in resource scarcity trends for lead, zinc, nickel, aluminium, silver, iron and copper over the most recent three decades are investigated. Only for silver and iron is there any indication that such a change has occurred. For silver, the change is transitory. To the extent that change takes place, it has implications for future economic growth, i.e. natural resource scarcity and economic growth are interrelated. To see whether this is a relevant concern, subsequent to the examination of changing resource scarcity trends an objective effort is made to identify a long-run equilibrium relationship between natural resource scarcity and economic growth. Relying on cointegration techniques, only for the unit cost measure for lead and copper for one of the measures of cointegration is there a suggestion that natural resource scarcity has affected economic growth in the United States over the period 1889–1992.     

基于ABMS的主流与新流创新资源动态配置机制研究

现有研究普遍认为领导者需要平衡二元创新中主流创新与新流创新之间的资源配置,但针对具体的资源平衡机制研究较少。本文采用基于主体建模与仿真(ABMS)的方法,将领导风格和资源柔性纳入二元创新资源配置动态模型,并在考虑风险和不确定性的条件下开展模拟仿真,研究发现:企业二元创新绩效与变革型领导风格倾向成正相关,与交易型领导风格倾向成负相关;变革型领导企业的创新绩效随资源柔性提高而增长,交易型领导企业与之相反;领导风格与资源柔性之间存在匹配性:变革型领导与高资源柔性正向促进企业创新绩效,交易型领导与低资源柔性更利于取得高绩效;企业创新绩效与创新风险呈“倒U形”关系。研究成果拓展了企业领导理论和二元创新理论,也为领导者适应风险、转变领导风格、调整资源柔性开展二元创新提供决策依据。     

An optimal control model of oil discovery and extraction

Starting with Hotelling (1931) [7] the stock of non-renewable resources have been treated as fixed. Along the line of Pindyck (1978) [8] and Greiner and Semmler (in press) [5] we treat the stock of oil resources as time varying, depending on new discoveries. The resource is finite and only a part of the resource is known while the rest has not yet been discovered. The discovery leads to a rise of known oil resource which can then be optimally exploited. The optimal control model has two state variables, the known stock of the resource and the cumulated past extraction. The control variable is the optimal extraction rate. The optimal control model assumes a monopolistic resource owner who maximizes intertemporal profits from exploiting the resource where the price of the resource depends on the extraction rate, the known stock of the resource, and the cumulated past extraction. The model is solved for a finite time horizon using NUDOCCCS, a numerical solution method to solve finite horizon optimal control problems. Various parameter constellations are explored. For certain parameter constellations the price path becomes U-Shaped as some empirical research, see Greiner and Semmler (in press) [5], have found to hold for actual price data. This holds if the stock of the initially known resource is small.     

OPTIMAL R&D FOR NONRENEWABLE RESOURCES: THE CASE OF COST REDUCING TECHNOLOGY

A model is developed to determine optimal R&D spending and completion time when R&D results in lower extraction costs of a nonrenewable resource deposit. Examples of R&D projects for which the model is designed are in-situ leaching for mining and carbon dioxide injection in petroleum. The model is a combined R&D/nonrenewable resource model (CM). Results from the CM are compared to simulations of an R&D model which ignores the nonrenewable resource. The comparison demonstrates the importance of including resource parameters in the R&D spending model. The CM extends the literature by considering R&D spending and exhaustible natural resource production simultaneously. It demonstrates the importance of including the resource deposit when R&D affects the deposit. This is important because more accurate models of R&D will increase the profitability of the R&D projects.     

Optimal control policies for resource allocation in an activity network

In the paper a class of project-scheduling problems concerning the allocation of continuously divisible resources is considered. It is assumed that performing speeds of activities are continuous functions of the resource amount, and that the initial and terminal states of activities are known. For such mathematical models of project activities the problem of time-optimal resource allocation under instantaneous and integral constrains on a resource, and the problem of cost-optimal resource allocation with fixed project duration are formulated and a general solution concept is proposed. Necessary and sufficient conditions for the existence of a solution in particular cases are derived and properties of optimal schedules are given. The control policies for resource allocation are constructed for the example of the cost-optimal problem.     

Stabilizing employment in a fluctuating resource economy

We consider a resource management problem in which the management objective is to minimize fluctuations in resource economics. Stabilizing management policies consist of memoryless state feedback control strategies for a class of discrete-time resource models which contain unknown but bounded fluctuations. The underlying theory is based on conditions developed for Lyapunov-type stability of sets. The design of the stabilizing policies is illustrated by a simulation example from resource economics. Specifically, employment of fishermen is stabilized by using a subsidizing and taxing policy in an open-access common-property fishery in which the value of the resource and the resource level fluctuate, and where entry and exit dynamics are determined by fluctuating revenues obtained from the fishery.This work was supported by NSF and AFOSR under Grant No. ECS-86-02524.The support by the Yrjö Jahnsson Foundation is greatly acknowledged.