基于第三方物流的汽车产品回收网络设计

针对汽车产品的回收,建立了一个由第三方物流参与的逆向物流网络,包含消费区域、存储中心、拆卸／再制造工厂和再分销市场四层。以总成本最小和对环境的影响最小为目标,建立了混合整数规划模型,以确定回收网络中各种设施的位置和数量,并通过算例,利用LING011．0求解,验证了模型的有效性和可行性。     

废旧产品联合回收模式的经济性分析

废旧产品的回收是逆向物流作业中的第一步,直接影响着制造企业的再制造输入来源.不同的制造企业应该根据自身发展特点选择适合的回收模式,既可以由制造企业主导回收活动,也可以与逆向供应链上的其他成员共同回收,这就形成了回收模式的多样化.由逆向供应链成员共同参与回收的模式主要包括零售商-第三方回收商联合回收、制造商-零售商联合回...     

浅析第三方逆向物流决策与网络构建

对第三方逆向物流决策与网络构建进行研究,能够有效提高第三方逆向物流的运行质量。基于此,本文首先对第三方逆向物流的结构特征进行简单介绍。其次,对第三方逆向物流决策进行分析,其中主要包括建立专业化的回收中心、逆向物流导向技术的应用两方面内容。最后,对第三方逆向物流的网络构建进行研究,其中主要包括可直接再利用的物流网络、再制造加工的逆向网络、再循环逆向网络以及商业退货逆向网络四方面内容。     

基于逆向物流中再制造产品回收价格研究

逆向物流和再制造系统最重要的特性就是回收的不确定性,包括回收产品数量和质量的不确定性。而回收量的大小和质量都受到回收价格的直接影响,因此解决好逆向物流中回收物的定价问题,将是解决好逆向物流回收量的重要方法。本文通过对零售商和消费者之间回收价格模型的研究,找出合作博弈和非合作博弈下回收价格的均衡解,并对其进行比较,提出相应的解决方法。     

多服务对象下的第三方逆向物流网络模型设计

一、引言 第三方逆向物流企业作为专门提供第三方逆向物流的单位需要建立合理的网络结构。从而为多类服务对象服务，实现自己规模化效益。在整个逆向物流系统中，由于可以用联节点和运输路线构成的逆向物流网络来表示．所以在逆向物流系统中．最重要的是从产品回收出发，针对需求，以尽可能小的物流费用，实现产品回收网络结构、布局的合理化。网络设计是一种资源最优配置的建设过程，因此如何做到多类服务对象下的网络最优化是验证该第三方逆向物流网络设计成功与否的关键指标。在本文中我们将以最优化理论为基础对多服务对象下的第三方逆向网络模型进行设计与模型验证。     

基于电子废旧产品回收的逆向物流问题研究

随着我国可持续发展战略政策的实施,建立循环经济、节约友好型社会等政策应运而生,与此同时,在政策的感召和媒体的宣传下,电子产品逆向物流回收逐渐引起专家学者的注意。本文分析了我国电子废旧产品循环利用问题亟待解决,提出了电子废旧产品逆向物流的新模式。     

多服务对象下的第三方逆向物流网络模型设计

一、引言 第三方逆向物流企业作为专门提供第三方逆向物流的单位需要建立合理的网络结构,从而为多类服务对象服务,实现自己规模化效益.在整个逆向物流系统中,由于可以用联节点和运输路线构成的逆向物流网络来表示,所以在逆向物流系统中,最重要的是从产品回收出发,针对需求,以尽可能小的物流费用,实现产品回收网络结构、布局的合理化.     

废旧电子产品逆向物流网络系统构建因素及原则

随着绿色环保理念的发展,各界专家学者已经慢慢把关注的焦点投向废弃物逆向物流,其中废旧电子产品逆向物流网络系统规划与设计更为引人注目,本文先介绍废旧电子产品逆向物流理论知识,并描述其构建逆向物流原则、问题和需考虑因素。     

基于回收不确定的闭环供应链优化模型

采用由制造商、供应商和第三方回收商构成的具有分销、再制造和再利用功能的闭环供应链，研究了回收价格和初期投入不确定情况下的再制造渠道选择问题。参照基础平衡模型，对废旧品回收过程中再制品和新产品的价格、成芩和利润进行了定量分析，提出了基于回收不确定的闭环供应链优化模型，可为闭环供应链分销渠道设计和企业生产提供借鉴。     

废旧机电 挖不完的“金矿”

建设节约型社会的核心是节约资源，而对废旧机电产品进行再制造是节约资源的重要手段。随着机电产品的频繁应用、报废，其中的废旧环氧覆铜板边角料、印刷电路板每天都有大量产生，环氧覆铜板回收是废旧机电再造将成为循环经济重要一环。     

On the design of a real-time knowledge-based system for managing logistics operations

Over the past 10 years, various kinds of logistics information systems have been developed to store and process all sorts of data and information to support daily logistics operations. However, the logistics planning or decision-making of logistics activity is still executed manually. In this paper, a real-time knowledge-based system (RKBS) is designed to support logistic service providers in making decisions during the stage of logistics planning and operation by extracting, sharing and storing real-time logistics knowledge. The proposed system, which is suitable for usage in different business processes in a warehouse operating environment, is developed by integrating radio-frequency identification, online analytical processing, case-based reasoning technologies, and a branch-and-bound resource-route-optimizing programming model. Through applying the RKBS in GENCO, a US-based logistics service company, the overall logistics servicing level is enhanced through accurate decision-making and planning of warehouse operations. Copyright © 2007 John Wiley & Sons, Ltd.     

我国货物运输保险影响物流业发展实证研究

使用物流业发展规模和发展效率作为物流业发展的衡量指标,选取我国1991年～2010年的年度数据,运用VAR模型的脉冲响应函数和方差分解方法对货物运输保险和物流业发展的关系进行实证研究。结果表明：货物运输保险与物流业发展规模和发展效率都是一阶单整的,它们之间存在长期协整关系,并且只存在单向因果关系：货物运输保险是物流业发...     

Un enfoque multicriterio para el diseño de una red para el transporte de embarques internacionales

One of the important challenges for manufacturers and distributors of autoparts is the coordination of multiple sourcing areas where their international suppliers are located. The objective of this research is the design of a service transportation network that takes into account the time shipments are held at customs and transshipment terminals, as well as the possible delays due to the use of different transportation modes. To assure the best performance of the whole transportation network, a bi-criteria optimization model was formulated, the two criteria considered were cost and time. The solution to the model was the structure of the transportation network to be used by a manufacturer of auto parts located in the Toluca industrial zone; this firm imports auto parts produced by suppliers located in the United States (E.E.U.U.) and commercializes them among multiple automakers. The structure of the optimization problem was analyzed to obtain a convenient separable arrangement and then the problem was solved by using Lagrangian relaxation. A set of possible efficient solutions for the structure of the transportation network was generated by using the weighting method and the ε-constraint method; the resulting solutions represent the set of best alternatives from which the logistics managers may choose the service network that best attends the needs and logistics performance goals of the firm.     

HOPFIELD求解物流配送车辆优化调度问题的应用分析

本文主要内容是通过运用HOPFIELD模型来求解最佳组合优化问题,并结合了VC语言编程对物流配送车辆优化调度的问题进行了一系列的求解分析。     

关于高校后勤集团财务管理目标定位的思考——基于高校后勤社会化改革的视角

论文从高校后勤社会化改革的现状入手,对当前高校后勤财务管理目标定位进行了对比分析。根据高校后勤集团及其下属各经济责任中心的经营目标、经营性质,以及财务管理目标的特性,对高校后勤财务管理目标的选择依据、选择标准进行了深入探讨。提出了高校后勤集团应该结合集团的经营状况建立多元化的总体财务管理目标,集团及其下属各经济责任中心之间应该建立多层次财务管理指标体系的新思路。     

Capital budgeting with multiple criteria and multiple decision makers

In this article, we propose a model that incorporates the preferences of multiple decision makers into a decison-making process using (1) The analytical hierarchy process (AHP); and (2) multiple criteria and multiple constraint levels (MC²) linear programming in a capital budgeting context. Our model can foster strategic and nonfinancial factors that are important in the capital budgeting problems of the current business environment. The two-phased solution framework proposed in this article is sufficiently flexible to reach a compromise among decision makers. Our method also facilitates collection of decision makers' preferences to minimize suboptimization of overall company's goals. In addition, application of AHP to derive weights to decision makers' preferences for resource availability decreases the solution complexity. All these characteristics represent a significant improvement compared with previous linear or goal programming approaches to capital budgeting problems.     

Integrating sustainability performance measurement into logistics and supply networks: A multi-methodological approach

This paper seeks to address the way in which economic and environmental performance can be measured simultaneously, taking a multi-methodological approach to the logistics and supply chain management field in order to address sustainability challenges. The multi-methodological approach relies on the merits of different methodologies, provides more flexibility in tackling problems under investigation, and tolerates inaccurate estimation of parameters during the process. An illustrative case study (Westgate Ports) is undertaken in Australia in order to examine the ways in which the multi-methodological approach is applied, and how it assists during the decision making process in the adoption of green practices for freight transport logistics. The case validates the applicability and usefulness of the approach and highlights comparative outputs of costs and carbon emissions in freight transport logistics. Rail transport is identified as giving the opportunity to study the short distance container and freight distribution network, although initially this does not appear to be the most cost-effective option. This study finds that it is better to simultaneously consider performance indicators from different perspectives and to integrate them into one model of system measurement in order for corporations to improve their sustainability performance.     

Asset-liability management under time-varying investment opportunities

Stochastic linear programming is a suitable numerical approach for solving practical asset-liability management problems. In this paper, we consider a multi-stage setting under time-varying investment opportunities and propose a decomposition of the benefits in dynamic re-allocation and predictability effects. We use a first-order unrestricted vector autoregressive process to model asset returns and state variables and include, in addition to equity returns and dividend-price ratios, Nelson/Siegel parameters to account for the evolution of the yield curve. The objective is to minimize the Conditional Value at Risk of shareholder value, i.e., the difference between the mark-to-market value of (financial) assets and the present value of future liabilities.