A multi-objective sustainable load planning model for intermodal transportation networks with a real-life application

Growing importance of intermodal transportation necessitates modeling and solving load planning problems by taking into account various complex decisions simultaneously like transportation mode/service type selection, load allocation, and outsourcing. This paper presents a mixed-integer mathematical programming model for a multi-objective, multi-mode and multi-period sustainable load planning problem by considering import/export load flows to satisfy transport demands of customers and many other related issues. Several multiple objective optimization procedures are utilized in order to handle conflicting objectives simultaneously under crisp and fuzzy decision making environments. A real-life case study is also performed to present application and usefulness of the proposed model.     

A profit-maximization location-capacity model for designing a service system with risk of service interruptions

This paper considers the design of an immobile service system in which each facility’s service process is subject to the risk of interruptions. The location-capacity decisions and allocations are simultaneously made to maximize the difference between the service provider’s profit and the sum of customers’ transportation and waiting costs. An efficient Lagrangian-based solution algorithm is developed, which solves large-sized instances with up to 50 service facilities and 500 customers in a few seconds. Several sensitivity analyses and managerial insights are presented. The model is also applied to a case study on a logistics network design problem in the zinc mining industry.     

关于优化流量经营管理的思考

本文将以中国移动为研究对象,针对流量经营管理作出分析思考。     

A neuro-fuzzy combination model based on singular spectrum analysis for air transport demand forecasting

Air transport demand forecasting is receiving increasing attention, especially because of intrinsic difficulties and practical applications. Total passengers are used as a proxy for air transport demand. However, the air passenger time series usually has a complex behavior due to their irregularity, high volatility and seasonality. This paper proposes a new hybrid approach, combining singular spectrum analysis (SSA), adaptive-network-based fuzzy inference system (ANFIS) and improved particle swarm optimization (IPSO), for short-term air passenger traffic prediction. The SSA is used for identifying and extracting the trend and seasonality of air transport demand and the artificial intelligence technologies, including ANFIS and IPSO, are utilized to deal with the irregularity and volatility of the demand. The HK air passenger data are collected to establish and validate the forecasting model. Empirical results clearly points to the enormous potential that the proposed approach possesses in air transport demand forecasting and can be considered as a viable alternative.     

我国居民消费增长的未来趋势与现实抑制

经济增速维持高位、就业形势趋好、收入分配格局改善等利好因素支撑着我国居民消费的长期增长趋势。但是,消费率偏低仍然是困扰我国经济发展方式转变的主要困难。收入分配差距大、公共服务不健全、消费环境不佳、通货膨胀、外部不确定性等矛盾同时制约着消费增长。必须长期制度创新与短期政策优化相结合,力促居民消费增长。     

基于粒子群算法的证券组合投资模型的研究

从证券组合模型的概念,给出证券组合多目标决策模型。并用模糊优选法将证券组合多目标优化转化为单目标优化。同时,重点描述了粒子群算法,并采用自适应变异的粒子群算法对证券组合投资模型进行求解,最后编程实现证券组合模型的最优解,试验结果表明此方法取得了较好的效果。     

我国医药零售企业国际比较与对策研究

随着我国加入WTO及世界经济一体化 ,我国在医药流通领域的管制将于 2 0 0 5年放开。以我国医药零售业的代表企业———深圳一致药业股份有限公司、上海华氏大药房有限公司为例同世界巨头———CVS和Walgreen在企业的发展历史、赢利模式、绩效评价指标分析等方面做横向比较 ,找出我国医药零售企业和世界巨头的差距 ,在此基础上才能从产业组织结构优化的角度制定出相应的措施     

The tactical and strategic value of hedge fund strategies: a cointegration approach

This paper analyzes long-term comovements between hedge fund strategies and traditional asset classes using multivariate cointegration methodology. Since cointegrated assets are tied together over the long run, a portfolio consisting of these assets will have lower long-term volatility. Thus, if the presence of cointegration lowers uncertainty, risk-averse investors should prefer assets that are cointegrated. Long-term (passive) investors can benefit from the knowledge of cointegrating relationships, while the built-in error correction mechanism allows active asset managers to anticipate short-run price movements. The empirical results indicate there is a long-run relationship between specific hedge fund strategies and traditional financial assets. Thus, the benefits of different hedge fund strategies are much less than suggested by correlation analysis and portfolio optimization. However, certain strategies combined with specific stock market segments offer portfolio managers adequate diversification potential, especially in the framework of tactical asset allocation.

养老保障制度"优化"理念分析

本文立足于养老保障制度的多层次和可持续发展目标,提出养老保障制度“新三支柱”和“八层次”优化理念,以及养老保障优化的性质界定、优化主线、优化效果、优化核心、优化目标。养老保障制度优化性质就是采取一定措施使养老保障水平“适度”和养老制度“可持续”发展。养老保障制度优化主线是养老资源的合理利用和效应最大化,也就是养老“人、财”体系的效用改进。养老保障制度优化的效果是构建一个“结构合理,功能提升,效率改进,发展持续”的养老制度体系。养老保障制度优化的核心是解决“资金平衡”和“利益均衡”。养老制度的优化标准和目标是制度的可持续发展,具体表现为养老制度的优化与风险控制、国民财富分配、人口结构、居民收入水平、社会文化等要素契合协调发展。在此基础上,提出优化养老方式整体效率、优化多层次抗风险、优化多责任破解时代难题、优化多元个人生命周期等政策建议。     

香港联系汇率制度的现实启示及未来挑战

本文针对香港联系汇率制度的形成历史以及原因,总结出香港的联系汇率制度形成的偶然性申的必然性,分析香港联系汇率割度的优势和弊端,以及此项制度对于香港金融市场的重大意义。针对日新月异的国际资本市场,香港也面临着挑战,香港也必须与时俱进,加强和人民币之间的联系,进而形成合理的汇率机制。本文最后勾画了香港汇率制度未来的发展前景。