拆解中心的选址决策研究

针对拆解中心选址决策问题,考虑到检测中心到拆解中心和用户的运输容量,基于成本最小原则,建立了备选拆解中心选址的优化模型,并提出了求解算法,最后通过算例说明了方法的可行性.     

WEEE拆解企业数量及其演化研究

确定电子废弃物(WEEE)拆解企业数量的影响因素、作用关系及效果是政府对拆解企业有效管制的前提.构建了拆解企业数量的系统动力学理论模型,模型由WEEE拆解企业数量、WEEE规范回收量、WEEE拆解企业利润和WEEE拆解补贴额4个子系统组成.在对该理论模型进行参数设置和实证检验后,将政府管制方式差异、市场环境变化、补贴方式差异、空间差异4种情景作为外部因素,研究WEEE拆解企业数量及其演化过程.根据仿真结果,提出采取市场准入的管制方式、制定阶段性差异化补贴政策、实施分级管制策略的对策建议.     

奥运会临时超市网点的优化设计

在对[1]提供的问卷调查数据进行处理的基础上,运用商圈理论,就2008北京奥运会比赛主场馆周边地区临时超市网点(MS)的设计问题,在满足购物需求、分布基本均衡和商业上赢利三大基本要求上,建立起整数线性规划数学模型,并得到较为理想的优化设计结果.     

基于优势粗糙集的极大熵权重下高校招生资源配置方法

高校学科资源的合理配置,对专业的发展前景和社会效益起着非常重要的影响.在构建学科建设绩效指标评价体系的基础上,基于优势粗糙集理论的约简知识,提取出比较有益的偏好决策规则,定性地对专业学科建设情况做出判断.利用极大熵准则对各个评价指标进行合理赋权,得到各个对象的多属性评价值.最后将各方案在最优赋权策略下的得分进行集结,将此比例作为专业招生时的资源配置方法,可以为决策者提供比较公平合理的指导建议.     

一类时滞三维离散神经网络模型的稳定性和分支

讨论了一类带时滞的离散三维神经网络模型.利用数学分析技巧,对线性化系统的特征根进行分析,获得了平衡点的局部稳定性及分支点,并利用规范型和中心流形理论得出了决定分支方向和稳定性的公式.     

信息经济时代的客户知识模型

客户知识由客户界定，沟通渠道，客户需求，客户行为以及客户赢利价值五个层次组成。其中每个知识层次都是包含该层次具体内容的客户知识子集。客户知识的掌握是一个过程，它从了解客户的基本信息以实现对客户进行界定开始，到识别客户对企业的赢利价值这一客户知识的核心。客户知识是制定“以客户为中心”的整合营销行动计划的基础。     

基于灰色规划理论的综合物流服务中心优化研究

随着国民经济的进一步发展,物流作为承载经济交易枢纽的关键环节对经济发展起着重要的促进作用,综合物流中心作为物流行业统筹规划的重要组成部分对物流效率的提高具有深远的影响.当前综合物流中心主要存在结构不合理,市场导向性差等弊端.本文主要利用灰色规划理论结合物流收益值的获取、预测等过程对综合物流中心进行了优化研究.结果表明,通过灰色规划理论综合优化后的物流中心能够在物流配送方式和产业结构优化等方面发挥良好的作用,不仅能够提高物流企业的营业收入,同样也可以进一步提升中国的物流运输效率,从而促进产业的进步和发展.     

政府补贴和平台宣传投入下双渠道逆向供应链定价策略研究

整合线上和线下回收渠道,构建互联网回收平台和拆解商竞争回收、合作拆解的逆向供应链模型。通过设定互联网回收平台的宣传效应系数,探讨政府补贴拆解商和互联网回收平台进行宣传投入对逆向供应链定价决策和利润的影响。研究结果表明政府补贴和宣传投入相结合模式能够提高互联网回收平台和拆解商的经济收益,且优于只有政府补贴拆解商的情形。当宣传效应系数较小时,在合理的宣传投入范围内,二者的利润大于无宣传投入时的利润;当宣传效应系数较大时,互联网回收平台的利润始终随着宣传投入的增加而增大,而拆解商的利润随着宣传投入的增大呈现先增加后减少的变化趋势。     

基于系统动力学的政府和废旧电子产品处理商演化博弈分析

文章为探究政府管制在废旧电子产品处理商实施生态拆解的作用,运用系统动力学方法构建了废旧电子产品处理问题中政府和处理商之间的一个混合策略演化博弈模型,并对政府管制策略选择与处理商实施生态拆解策略选择的互动机制进行了分析。演化博弈和系统仿真结果表明:处理商实施生态拆解和非生态拆解的收益、政府管制的有效性以及处理商实施非生态拆解受到惩罚等都直接影响系统的演化结果;政府和处理商两群体在3种情形下存在演化稳定策略;在一定的条件下,系统演化呈现周期性特征。最后从政府管制的角度出发,动态策略的演化博弈模型存在演化稳定的均衡点。     

一类离散生态经济系统稳定性与分支研究

本文研究了一个离散生态经济模型的稳定性和分支问题.利用离散奇异系统理论,中心流形定理及Neimark-Sacker分支理论,得到了系统关于不动点的稳定性和Neimark-Sacker分支的有关结果,并与相应的连续模型进行对比分析.推广了文献[5]的结果.     

Two-level periodic marketing networks without market news

A model is constructed for a two-level periodic marketing network wherein traders buy goods from farmers in a number of spatially separated markets and transport them to urban centers for sale to consumers. It is assumed that there is no market news dissemination. As a result, market disturbances are transmitted throughout the network at a rate limited by the trading activity. Moreover, distant markets may even be isolated from local disturbances. This model possesses one and only one equilibrium state. That equilibrium state is asymptotically stable if the slopes of the various supply and demand functions are sufficiently restricted in the vicinity of the equilibrium state.     

Pricing Behaviors on Networks: Some General Results for Two-way Networks

In this paper, we study monopolistic pricing behaviors within a two-way network. In this symbiotic production system, independent decision centers carry out an activity which concurs to the production of different system goods. The players are assumed to know the whole network. Due to this rationality, they try to capture a share of the profit of the firms who sell the system goods to the consumers. These double marginalization behaviors are studied within very general networks. Conditions with ensure existence and uniqueness are discussed. We even provided a complete characterization of an equilibrium. Potential applications are also discussed     

Supply chain network capacity competition with outsourcing: a variational equilibrium framework

This paper develops a supply chain network game theory framework with multiple manufacturers/producers, with multiple manufacturing plants, who own distribution centers and distribute their products, which are distinguished by brands, to demand markets, while maximizing profits and competing noncooperatively. The manufacturers also may avail themselves of external distribution centers for storing their products and freight service provision. The manufacturers have capacities associated with their supply chain network links and the external distribution centers also have capacitated storage and distribution capacities for their links, which are shared among the manufacturers and competed for. We utilize a special case of the Generalized Nash Equilibrium problem, known as a variational equilibrium, in order to formulate and solve the problem. A case study on apple farmers in Massachusetts is provided with various scenarios, including a supply chain disruption, to illustrate the modeling and methodological framework as well as the potential benefits of outsourcing in this sector.     

需求不确定的供应链两阶段订货模型

销售商如何在不确定需求的市场环境下根据制造商提供的订货条件进行合理订货是供应链管理的一个核心问题。本文利用信号博弈的原理从销售商的角度研究在不确定需求且传统需求预测方法失效的情况下，允许调整订货量的短生命周期产品两阶段订货模型，得到了在两次订货条件下销售商应该采取的最优订货量与调整策略以及制造商对契约灵活性限制的成本函数。     

A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty

Location planning for urban distribution centers is vital in saving distribution costs and minimizing traffic congestion arising from goods movement in urban areas. In this paper, we present a multi-criteria decision making approach for location planning for urban distribution centers under uncertainty. The proposed approach involves identification of potential locations, selection of evaluation criteria, use of fuzzy theory to quantify criteria values under uncertainty and application of fuzzy TOPSIS to evaluate and select the best location for implementing an urban distribution center. Sensitivity analysis is performed to determine the influence of criteria weights on location planning decisions for urban distribution centers.The strength of the proposed work is the ability to deal with uncertainty arising due to a lack of real data in location planning for new urban distribution centers. The proposed approach can be practically applied by logistics operators in deciding on the location of new distribution centers considering the sustainable freight regulations proposed by municipal administrations. A numerical application is provided to illustrate the approach.     

竞争环境下基于退换货的网购供应链动态均衡研究

研究竞争环境下基于退换货的网购供应链动态均衡模型.此供应链包含多个生产商、电商、快递商及需求市场.将快递商的运输速度作为竞争的一个重要因素进行研究.通过正弦函数说明,网购供应链的市场需求也呈季节性变化.利用纳什均衡及变分不等式得到各层决策者的竞争均衡解.通过分析换货比重得出电商应减少消费者的退货率,以提高整条供应链的利润和竞争能力.并利用数值算例说明模型的正确性与合理性.     

考虑投资者心理预期的投资性商品价格运行稳定性识别与反馈控制机制设计

以投资性商品的价格运行系统为研究对象,引入反映投资者心理预期的变量,对传统的蛛网模型加以改进,并据此构建非均衡市场环境下投资性商品价格运行开环系统模型,对非均衡市场环境下投资性商品市场价格运行的稳定性进行识别,在此基础上对反馈控制机制进行设计.以我国的住宅市场的价格运行系统为实证研究对象,结合历史数据对所构模型的有效性进行验证,并对未来可能出现情况进行预测.实证研究主要结论如下:第一,我国住宅市场投资者对预期收益的敏感程度以及供应商对商品前期价格的敏感程度均较高,价格运行能自发实现稳定的区域较小;第二,现有调控政策不变的情况下,我国住宅市场价格正向偏离稳定区域的程度将减小;第三,若政府从影响投资者心理预期的角度入手对我国住宅市场价格波动进行干预,希望我国住宅市场的价格运行能以最快的速度趋于稳态,则设计反馈控制机制时,应重视投资者对商品价格未来的心理预期受商品历史价格的影响程度远高于受市场供需的影响程度这一现象.     

考虑三级货损成本的冷链物流配送中心选址优化

为解决冷链物流配送中心的选址优化问题,依据易腐品完好率线性递减理论,提出了易腐品完好率与运输距离之间的分段递减函数关系,通过分析从供应点到配送中心运输过程,配送中心内部操作过程和从配送中心到需求点配送过程中所产生的三级货损实际情况,探究了本级货损对下级货损的叠加影响,以货物完好量作为客户的最终需求,构建了考虑三级货损成本的冷链物流配送中心选址优化模型,算例验证了所建模型的适用性和可行性.     

A covering tour approach to the location of satellite distribution centers to supply humanitarian aid

This article concerns the location of satellite distribution centers (SDCs) to supply humanitarian aid to the affected people throughout a disaster area. In such situations, it is not possible for the relief teams to visit every single home. Instead, the people are required to go to a satellite distribution center in order to obtain survival goods, provided that these centers are not too far from their homes. The SDCs are usually within walking distance. However, these SDCs need to be supplied from a central depot, using a heterogeneous and capacitated fleet of vehicles. We model this situation as a generalization of the covering tour problem, introduce the idea of split delivery, and propose an efficient heuristic approach to solve it. Numerical experiments on randomly-generated data show that, first, only very small instances can be solved efficiently using the mathematical model and, second, our heuristic produces high-quality solutions and solves real-size instances in a reasonable computing time.     

Interactive High-low Search: The Case of Lost Sales

We consider the problem of supplying perishable goods to disloyal customers. As in traditional stock-control literature, a penalty is incurred whenever there is a stockout. However, in contrast to mainstream models, loss of goodwill is explicitly treated by incorporating the behavioural assumption that a fixed proportion of unsatisfied demand is lost forever after each stockout. The problem consists of finding supply levels which minimize costs of over- and underproduction, given unknown but deterministic demand. We derive optimal adaptive search procedures under varying assumptions of a priori knowledge about demand. Optimal strategies are compared to myopic strategies. Our methodology extends the mathematical theory of ‘high-low search’ for a hidden point to incorporate the ‘Heisenberg principle’: the position of the hidden point (demand) is directly influenced by the actions (supply levels) of the searcher.