3PL参与下的存货质押融资协调与均衡策略

将第三方物流引入到具有随机需求的融资决策模型中,建立了一个包含融资企业、银行、第三方物流企业的质押融资模型。在成本加成定价法以及质押存储费用由银行与融资企业共同承担的条件下,运用经济博弈理论得出了该博弈的子博弈精炼纳什均衡解,并分析了质押存储费用的分配比例对质押融资决策模型收益的影响。结果表明,在随机需求条件下,银行承担的质押存储费用比例越高,融资决策模型中成员以及系统整体的收益也越高。     

基于损耗率和需求积压时变易逝品的生产库存模型

根据时变产品损耗率、需求积压率与需求产生到需求得到满足需要等待的时间长度有关,建立按照先到先服务的原则的生产库存模型,该模型更接近实际,扩展了已有的生产库存模型,因此得出和寻求最优解的方法和解的唯一性的证明。该模型同样可以用于非易逝品的生产库存和易逝品的经济批量订货。     

供应链库存系统网格环境中的控制研究

供应链库存系统由于其分散性及平台的异构性,使库存控制的理论研究在实践应用中受到很大限制。网格技术为该问题的解决提供了一种有效的方法。在供应商管理库存理论和网格体系结构的基础上,构建了供应链库存系统控制网格环境中的集成框架,实现了基于网格技术的集成框架供应链库存的实时控制和安全库存量的有效降低。     

挖掘售后服务领域的潜在价值

一些领先的企业从售后服务领域获取高达50%的利润收入,售后服务管理已成为企业的决策焦点。可通过对消费者的服务需求预测、产品设计、新技术应用和企业联盟等策略来满足消费者的各种需求,降低配件的库存水平、减少服务成本,以充分挖掘售后服务领域潜在的利润空间。     

存货质押融资业务中外比较分析及案例研究

积极发展存货质押融资业务是改善我国中小企业融资难的一条有效途径。为促进这一业务的发展,本文系统地比较分析了国内外存货质押融资的异同,认为我国存货质押融资业务现阶段虽然通过物流与金融的有效整合取得飞速发展,但与国外多年积累的经验和先进的业务控制水平相比,无论在制度环境、行业环境、业务基本要素和控制方式等四个方面都需要系统改善。     

航空客运收益管理中的渠道管理问题研究

传统的存量控制研究的解决方案是以直接面对最终顾客为前提的,没有将销售渠道的需求分布考虑在内,因而也就不能把分配给各个销售渠道的机票数量进行科学控制和优化。不同的销售渠道对同种类型机票的需求分布不同,并且给航空公司带来的最终收入不同,因此,随着联网售票系统的完善和电子商务的发展,如何更好地管理销售渠道,给那些能给航空公司带来更多收益的销售渠道预留足够的座位,已经成为航空公司不容忽视的问题。     

测控通信系统射频资源可重组技术

测控通信系统的资源重组将是飞行器测控通信系统的发展方向。在中频实现测控终端重组的基础上,通过对射频重组构架的分析,得出了射频交换网络的性能和射频远距离传输的性能直接影响射频重组的可行性,提出了一种可行的全系统资源重组的测控体系构架,即采用微光电子射频交换网络与射频光波传输技术实现射频信号大规模交换及远距离传输,再结合中频重组以实现全系统资源重组,并对相关性能进行了分析。所提出的设计思路可供测控通信系统实现全体系的资源重组借鉴及参考。     

存货质押融资分阶段利率决策模型的构建

随着保理融资各交易阶段的进行,保理商所承受的风险相对由高至低,保理商利润非负的临界质押率水平及利率水平都发生了相应的动态变化。从价格波动规律出发,以进出口保理融资业务为代表,在满足下侧风险限制条件下,提出保理商针对各交易阶段提供融资业务利率的决策模型,并在此基础上分析保理融资中质押率、价格、违约可能性与利率的相互关系。研究得出利率水平随着各交易阶段的进行呈逐渐降低的趋势,灵活把握融资各阶段质押物价值、违约等风险因子变化,有利于降低融资风险性。     

THE IMPLICATIONS OF TRADER COGNITIVE ABILITIES ON STOCK MARKET PROPERTIES

Market structure and individual rationality remain at the centre of a debate as to which is the main driving force in market performance. We examine the role of individual rationality, comparing zero‐intelligence traders with traders with different levels of intelligence using a special adaptive form of strongly typed genetic programming‐based learning algorithm. We use this approach with real data: historical quotes of the S&P 500 and Coca‐Cola stock prices. We find a mixture of positive and negative impacts from intelligence on market performance. Because the concept of market structure as a driving force has been significantly challenged in the literature, we suggest that the inclusion of both intelligence and market structures is important when examining the driving forces of market performance. This inclusion is consistent with the research of Todd and Gigerenzer (Journal of Economic Psychology, 24 (2003) 143–165), which asserts that both environment (market structure) and agents’ cognition play important roles. Copyright © 2013 John Wiley & Sons, Ltd.     

Investigating the Effects of Daily Inventory Record Inaccuracy in Multichannel Retailing

Inventory record inaccuracy (IRI) challenges multichannel retailers in fulfilling both brick‐and‐mortar and direct channel demands from their distribution centers. The nature and damaging effects of IRI largely go unnoticed because retailers assume daily IRI remains stable over time within the replenishment cycle. While research shows that a high level of IRI is damaging, in reality the level of IRI can change every day. We posit that daily IRI variation increases the uncertainty in the system to negatively affect inventory and service levels. Our research uses data collected daily from a multichannel retailer to ground a discrete‐event simulation experiment. Going beyond testing just the level of IRI, we evaluate daily IRI variation's impact on operating performance. What we find in our empirical data challenges extant assumptions regarding the characteristics of IRI. In addition, our simulation results reveal that daily IRI variation has a paradoxical effect: it increases inventory levels while also decreasing service levels. Moreover, we also reveal that brick‐and‐mortar and direct channels are impacted differently. Our findings show that assumptions and practices that ignore daily IRI variation need revising. For managers, we demonstrate how periods of multiday counting help assess their daily IRI variation and indicate what the causes may be.