北疆城市化发展的经济社会资源环境耦合协调关系分析

对北疆主要地区城市化发展中的经济社会资源环境四个系统的协调发展关系进行研究及预测,为区域的可持续发展奠定基础.首先,建立了区域经济社会资源环境的耦合协调度指标体系,以北疆主要的5个地区为例,评价四个系统的发展水平;其次,运用耦合协调度模型的计算方法,对北疆5个地区的经济社会资源环境的耦合协调度进行实证分析;最后,引入ARMA模型预测法,对该区5个地州的经济社会资源环境的未来耦合协调度进行预测.结果表明:北疆五个主要地区的经济和环境增长较快,且二者互不影响,社会和资源的变化趋势不显著;四大系统的耦合协调度整体呈现波动上升趋势,主要制约因素是社会保障;未来5年四大系统的发展趋势与前10年的相似,总体表现为小幅上升的发展态势.     

区域3E系统协调发展水平PLS-SEM测度模型及应用研究

在总结现有3E系统协调发展水平测度方法缺陷的基础上,提出了基于PLS-SEM方法的3E系统协调发展水平测度模型,并从总量、结构和质量三个维度构建了3E系统指标体系,最后测度了1978年到2008年中国3E整体系统及各子系统的协调发展水平。研究表明:(1)PLS-SEM模型能有效弥补现有测度方法的缺陷,适应于3E系统协调发展水平的测度;(2)考察期内中国3E整体系统及各子系统协调发展水平呈递增的态势,其中经济子系统增长较快,也是3E整体系统协调发展水平增长的重要保证;(3)系统的总量维度隐变量对3E系统协调发展水平变动的影响最大,质量维度和结构维度隐变量均较小,说明中国社会经济的发展仍未摆脱粗放式的增长模式。     

考虑再利用需求的垃圾回收处理优化模型

垃圾回收处理是建设资源节约和环境友好形社会(即两型社会)的基本要求.本文利用逆向物流管理优化方法研究带确定性日回收垃圾处理问题,对经过垃圾处理中心处理过后的垃圾分全部或部分可被再利用两种情形,建立了垃圾回收相关企业成本最小的约束优化模型.该模型是0-1整数规划模型,能够直接在LINGO软件平台上求解.应用实例验证了模型的效用.     

一般工艺假定及其投入产出模型的优化

根据供给表和使用表推算国家(地区)对称型投入产出表有两种方法,即:产品工艺假定方法和部门工艺假定方法.但是上述两种方法都属极端假设的方法,为此提出了一般工艺假定的概念和相应的优化模型,给出了国家(地区)对称型投入产出表编制的优化方法.     

收入与物价关系的灰预测分析

利用平移变换方法对灰色预测模型进行改进,对平移变换存在性进行了证明,并给出最优平移步长的求解方法和利用平移变换建立灰色模型的一般步骤;应用优化后的灰色模型对收入与物价关系进行预测分析,与线性回归模型作了相应比较,从结果可看出,对于收入物价系统,优化后的灰色模型计算简单,模型更加精确可靠,用于对未来收入与物价关系的预测,能提供更有效的数据依据,具有很好的实际应用意义.     

长株潭地区可持续发展的综合评价——基于“两型社会”建设的视角

参照国内外现有的可持续发展指标体系,基于"两型社会"建设的视角,根据长株潭地区的具体特征以及数据的可得性,建立了包含经济社会与资源环境2个一级指标21个二级指标的长株潭可持续发展指标体系,并采用2000到2011年年度数据对长株潭地区可持续发展进行了评估与分析.研究结果显示,长株潭地区的生态环保指标综合得分已从2004年前的小于经济社会指标综合得分变为当前的大于经济社会指标综合得分;地区可持续发展度已从2000年前的非可持续逐渐过渡到现在的接近高可持续性,意味着"两型社会"第一阶段的各项目标任务已基本完成.但产业转型难将会成为长株潭整体辐射区生态环境优化的重要瓶颈.     

泰安市“能源-经济-环境”协调发展实证分析与评价研究

通过变换协调发展水平值的功效系数,定义了既能反映系统间协调程度又能反映系统当时所处发展水平的协调系数.通过对泰安市能源、经济与环境协调发展评价指标体系的模型构建,运用主成分分析法和因子分析法测算了泰安市能源、经济与环境协调发展系数.     

分析M/M/1多重工作休假排队的一种新方法

用一种新方法对经典的M/M/1工作休假排队系统建立模型.对该模型,用无限位相GI/M/1型Markov过程和矩阵解析方法进行分析,不但得到了所讨论排队模型平稳队长分布的具体结果,还给出了平稳状态时服务台具体位于第几次工作休假的概率.这些关于服务台状态更为精确的描述是该排队系统的新结果.     

区域经济与区域物流协同发展状态与调控模型研究

区域经济与区域物流是相互制约、相互促进的协同发展统一体.利用协同学分析区域经济与区域物流协同发展状态,并建立了它们协同发展的状态与调控模型.模型参数的计算是此模型的关键,本文在遵循其经济含义的基础上通过非线性灰色系统建模方法得出这些参数的近似代替值.最后,构建了徐州地区区域经济与区域物流协同发展状态与调控模型的具体形式,并指出了调控方向.     

功率控制单元板卡布局优化设计研究

功率控制单元是智能配电系统中的关键单元,如何优化功率控制单元板卡的布局,从而保证其稳健的工作是工程应用中关心的重要问题.以功率控制单元为研究对象,依据该单元的设计要求,提出了功率控制单元板卡的优化设计方法.并运用Matlab软件及Lingo软件,以各板卡的功率均匀为优化目标,对具体的功率控制单元中各个板卡上配电通道的布局进行了优化设计,给出了具体的设计方案,从而使板卡的布局更加合理.     

Stability improvement of multimachine power system via new coordinated design of PSSs and SVC

In this article, the assessment of new coordinated design of power system stabilizers (PSSs) and static var compensator (SVC) in a multimachine power system via statistical method is proposed. The coordinated design problem of PSSs and SVC over a wide range of loading conditions is handled as an optimization problem. The bacterial swarming optimization (BSO), which synergistically couples the bacterial foraging with the particle swarm optimization (PSO), is used to seek for optimal controllers parameters. By minimizing the proposed objective function, in which the speed deviations between generators are involved; stability performance of the system is enhanced. To compare the capability of PSS and SVC, both are designed independently, and then in a coordinated manner. Simultaneous tuning of the BSO‐based coordinated controller gives robust damping performance over wide range of operating conditions and large disturbance in compare to optimized PSS controller based on BSO (BSOPSS) and optimized SVC controller based on BSO (BSOSVC). Moreover, a statistical T test is executed to validate the robustness of coordinated controller versus uncoordinated one. © 2014 Wiley Periodicals, Inc. Complexity 21: 256–266, 2015     

Managing inventory and service levels in a safety stock‐based inventory routing system with stochastic retailer demands

The inherent uncertainty in supply chain systems compels managers to be more perceptive to the stochastic nature of the systems' major parameters, such as suppliers' reliability, retailers' demands, and facility production capacities. To deal with the uncertainty inherent to the parameters of the stochastic supply chain optimization problems and to determine optimal or close to optimal policies, many approximate deterministic equivalent models are proposed. In this paper, we consider the stochastic periodic inventory routing problem modeled as chance‐constrained optimization problem. We then propose a safety stock‐based deterministic optimization model to determine near‐optimal solutions to this chance‐constrained optimization problem. We investigate the issue of adequately setting safety stocks at the supplier's warehouse and at the retailers so that the promised service levels to the retailers are guaranteed, while distribution costs as well as inventory throughout the system are optimized. The proposed deterministic models strive to optimize the safety stock levels in line with the planned service levels at the retailers. Different safety stock models are investigated and analyzed, and the results are illustrated on two comprehensively worked out cases. We conclude this analysis with some insights on how safety stocks are to be determined, allocated, and coordinated in stochastic periodic inventory routing problem. Copyright © 2017 John Wiley & Sons, Ltd.     

GPM(1,1,m)模型及其在中国能源消费预测中的应用

客观准确地预测能源消费,可以为政府制定社会经济发展政策提供重要参考.利用矩阵分析的思想研究了灰色预测模型的建模机理,提出了基于时间多项式的可拓形式GPM(1,1,m)模型,并分析了其理论意义.在此基础上,通过研究了时间多项式对模型参数和预测值的影响,推导了它们之间的定量关系,设计了实际建模中的优化方法和参数估计的一般形式.利用GPM(1,1,m)模型预测中国的能源消费量并与其他灰色预测模型进行对比.根据2002-2017年的数据建立模型,结果显示GPM(1,1,m)模型的精度明显的优于其他模型.     

Biomimicry of Social Foraging Bacteria for Distributed Optimization: Models,Principles, and Emergent Behaviors

In this paper, we explain the social foraging behavior of E. coli and M. xanthus bacteria and develop simulation models based on the principles of foraging theory that view foraging as optimization. This provides us with novel models of their foraging behavior and with new methods for distributed nongradient optimization. Moreover, we show that the models of both species of bacteria exhibit the property identified by Grunbaum that postulates that their foraging is social in order to be able to climb noisy gradients in nutrients. This provides a connection between evolutionary forces in social foraging and distributed nongradient optimization algorithm design for global optimization over noisy surfaces.     

3E系统协调发展的PLSPM-GIA测度模型及其应用研究

在总结协调发展水平测算时应该注意的一些问题的基础上,提出建立PLSPM-GIA模型对3E系统协调发展水平进行估算。首先设计3E系统综合发展指标体系,运用PLS路径模型对中国1996-2014年的各系统的综合发展水平进行了计算,然后利用灰色关联模型度量了系统协调度,最后综合考虑系统的发展水平和协调水平,得出系统的协调发展水平。研究表明:①PLSPM-GIA模型能够弥补现有方法的缺陷,而且适用于系统协调发展水平的测度;②从发展水平来看,由高到低依次为经济子系统、能源子系统和环境子系统;③从系统的协调度来看,2005年之前能源经济子系统和能源环境子系统的协调度先上升后缓慢下降,由于受到经济环境子系统协调度缓慢下降的影响,3E系统协调度呈缓慢下降态势,2005年以后3E系统及其子系统的协调度下降趋势明显;④从协调发展水平来看,目前除经济环境子系统外,3E系统和其他子系统均处于轻度失调状态。     

级差最大的人的全面发展评价模型及省份实证

根据"坚持以人为本,树立全面、协调、可持续的发展观,促进经济社会和人的全面发展"的科学发展观的内涵,通过指标的海选、筛选和理性分析构建了人的全面发展综合评价指标体系.论文通过标准离差法、G1法和熵值法3种赋权方法对评价体系赋权,并通过级差最大化求得组合权重,并对我国2006年典型的14个省级行政区人的全面发展状况进行实证分析.本文的创新与特色一是通过国民幸福指数、基尼系数等31个指标建立基于科学发展观的指标体系来反映人与社会和谐、人与自然和谐、人与人和谐.二是在对不同评价得分的处理中,通过使第i个评价对象调整后的得分与所有m个评价对象的新得分的均值的偏离程度最大来确定最终的组合权重;改变了用不同的方法其评价得分截然不同的现象.研究结果表明,影响我国省级行政区的人的全面发展最主要的因素是每万人律师数、人均安全水资源拥有量、农村居民非农业就业比率,而第三产业占CDP比重、出生时的平均预期寿命、三废处理达标率则影响很小.     

Locating landfills—Optimization vs. reality

This paper examines the locations of landfills and garbage transfer stations in New Brunswick, one of Canada’s Maritime Provinces. The locations of the existing facilities are then compared to a system of optimized locations. The model used for the optimization is similar to those employed in the analysis of standard hub location models.     

Supply chain scheduling: Just-in-time environment

We study the benefits of coordinated decision making in a supply chain consisting of a manufacturer, a distributor, and several retailers. The distributor bundles finished goods produced by the manufacturer and delivers them to the retailers to meet their demands. The distributor is responsible for managing finished goods inventory. An optimal production schedule of the manufacturer, if imposed on the distributor, may result in an increased inventory holding cost for the distributor. On the other hand, an optimal distribution schedule of the distributor, if imposed on the manufacturer, may result in an increased production cost for the manufacturer. In this paper we develop mathematical models for individual optimization goals of the two partners and compare the results of these models with the results obtained for a joint optimization model at the system level. We investigate the computational complexities of these scheduling problems. The experimental results indicate that substantial cost savings can be achieved at the system level by joint optimization. We also study conflict and cooperation issues in the supply chain. The cost of conflict of a supply chain partner is a measure of the amount by which the unconstrained optimal cost increases when a decision is to be made under the scheduling constraint imposed by the other partner. We quantify these conflicts and show that the cost of conflicts are significant. We also show that a cooperative decision will generate a positive surplus in the system which can be shared by the two partners to make cooperation and coordination strategy more attractive.     

A simulation optimization method that considers uncertainty and multiple performance measures

Simulation optimization provides a structured approach to system design and configuration when analytical expressions for input/output relationships are unavailable. This research focuses on the development of a new simulation optimization technique applicable to systems having multiple performance measures. The aim of this research is to incorporate a simulation end user’s preference towards risk and uncertainty into the search process for the best decision alternative. Automation of the optimization procedure is a necessity. Therefore, this paper proposes a simulation optimization method that involves a preference model, specifically adapted for decision making with simulation models.