基于ENTROPY-TOPSIS法的多式联运方案研究

针对多节点、多运输方式以及多路径组合的多式联运方案选择问题,基于ENTROPY-TOPSIS法建立多式联运方案选择模型,引用ENTROPY法客观地确定各指标的权重,利用TOPSIS法评价各备选组合方案并进行排序,案例分析表明了方法的有效性。     

基于遗传算法的多目标集装箱多式联运运输优化模型

基于集装箱多式联运在进行门到门的运输过程中可以选择多种运输方式和路径的组合进行优化运输这个特点，本文将多式联运的运输优化问题转化成为一个最短路径问题，以成本和时间为优化目标建立了选择最优路径的模型，并选择遗传算法作为求解算法对实例问题进行了求解验证。     

多式联运路径优化模型与方法研究

考虑到多式联运路径的选择受到运输成本、运输时间、运输质量和服务水平等相关因素的影响,将多式联运的路径优化问题转化成为一个广义最短路径问题,以成本和时间为优化目标建立了适应运量变化情况下的多式联运路径优化数学模型,并选择蚁群算法对实际问题进行了求解验证。     

基于AHP的多式联运路径选择研究

公、铁、海多式联运中的路径选择是企业物流路径中经常遇到的一个决策问题，本文综合考虑运输的各种目标要求．根据多式联运运输路径的评价指标，应用层次分析法（AHP）对多式联运运输路径方案进行优选。文中根据多式联运系统的特点和基本原则，采取定性分析与定量分析相结合．建立起层次结构模型．通过层次总排序得到运输方案的优劣排序．使评标过程更加全面、科学、公正、准确。     

多式联运路径优化模型与方法研究

考虑到多式联运路径的选择受到运输成本、运输时间、运输质量和服务水平等相关因素的影响,将多式联运的路径优化问题转化成为一个广义最短路径问题.以成本和时间为优化目标建立了适应运量变化情况下的多式联运路径优化数学模型,并选择蚁群算法对实际问题进行了求解验证.     

基于MATLAB的集装箱多式联运方式组合模型

多式联运将多种运输方式进行合理地组合,以实现运输的最佳效益.这种运输方式在国际集装箱运输中被广泛应用.在我国,多式联运主要的组合形式是“公路—水路—公路”,铁路运输在其中所占的份额很小.究其原因,主要是由于基础设施建设存在问题,铁路和水路场站之间存在着地理位置上的分离,难以实现无缝对接.文章根据铁水联运难以实现无缝对接的现实情况,考虑铁水联运中公路接驳运输对集装箱多式联运费用的影响,建立集装箱多式联运方式选择模型.通过MATLAB程序设计对模型求解,分析港站分离对集装箱多式联运方式选择的影响,并提出铁路更好地参与集装箱多式联运的建议.     

基于总成本最小的多式联运运输方式选择

运输总成本是多式联运企业选择运输方式最优先考虑的因素,而总成本最小是目前大多数多式联运企业追求的目标。通过运筹学中的网络图理论构建多式联运运输网络图,基于总成本最小建立模型,将求解最短路径的Dijkstra算法用来求解模型,在求解实例问题过程中印证了整个模型的可行性。     

基于遗传算法的国际多式联运路径优化研究

多式联运由于其经济高效的特点而受到了越来越多的关注。选择合理的运输方案可以有效地控制运输成本。依据现实生活中铁路和水路运输都有固定的运输时间表,文章建立了以运输成本、包装成本、等待成本和碳排放成本为目标的多式联运路径优化模型,采用基于保存策略和转移策略的遗传算法对模型进行求解。通过实例分析,验证了该模型的有效性,为多式联运方案的选择提供了决策支持。     

集装箱多式联运系统中各种运输方式最优组合模式研究

针对集装箱多式联运系统中各运输方式的最优组合模式进行了研究。首先,通过对集装箱多式联运网络的描述和相应变形,建立了多式联运虚拟运输网络,然后以多式联运网络系统性能指标(PI)最优为目标建立了模型,并采用改进的遗传算法作为求解算法。系统性能指标(PI)定义为各运输方式运输费用和运输时间的线性加权之和,针对不同货物可分别赋予不同的权重系数。最后,通过对一个实例问题的求解验证表明,本文方法有效地从定量角度分析了集装箱多式联运过程中各种运输方式的最优组合模式,为集装箱多式联运的相关研究工作提供了理论基础。     

粮食多式联运无缝衔接方案优化模型与求解

鉴于铁路运力短缺的现状，提出了建立粮食多式联运无缝衔接系统的构想。从粮食多式联运经营人的费用最小化出发，以不同运输方式无缝衔接为要求，考虑粮食运输期限、损耗定额与运力限制等条件。构建了粮食多式联运无缝衔接优化模型．并提供了较为详细的求解思路。     

多式联运型物流企业并购网络协同体系创新研究

基于多式联运型物流企业的特征,阐述了多式联运型物流企业并购后网络协同定义,并且从协同目的与原则、协同内容和协同机制三个层面创新性的提出多式联运型物流企业并购网络协同体系的架构。这个体系架构,预期为我国多式联运型企业向综合物流企业发展提供参考的理论依据。     

基于多种运输方式的第四方物流路径问题研究

建立了基于多种运输方式的第四方物流路径优化模型,通过虚拟运输网络,将第四方物流路径问题转化为一个带时间约束和能力约束的最短路径问题,并给出了基于Dijkstra的启发式算法。算例显示,该算法能方便有效地求解基于多种运输方式的第四方物流路径问题。     

改进AHP在汽车服务备件运输方案选择中的应用

针对汽车服务备件运输方案不当所带来诸多汽车服务市场问题,在充分分析了改进AHP法的基础上,提出了基于改进AHP的汽车服务备件运输方案优化模型,并进行实例应用。结果表明：该模型提高了汽车服务备件运输方案优化的科学性、快速性及实用性,同时也为汽车制造企业制定合理的运输方案提供一定的理论依据。     

集成GIS的集装箱多式联运路径优化方法

借助地理信息系统技术和网络理论研究集装箱多式联运路径优化问题是现实可行的。分析了多式联运的空间属性和网络特征,提出运输网络的分层结构和多式联运网络的构造方法;设计了多式联运路径决策系统框架。     

第三方医药物流服务商评价模型的构建

在当前药品集中招标采购的大环境下,第三方医药物流服务商的综合评价和公平选择至关重要.本文在进行问卷调查的基础上,建立了第三方医药物流服务商的综合评价指标体系,采用层次分析法和熵权法相结合的方法确定了各个评价指标的权重,最后运用TOPSIS法计算出各医药物流服务商的综合评价指数并进行优劣排序.     

A new three-dimensional manufacturing service composition method under various structures using improved Flower Pollination Algorithm

With the growing complexity of customer requirements and the increasing scale of manufacturing services, how to select and combine the single services to meet the complex demand of the customer has become a growing concern. This paper presents a new manufacturing service composition method to solve the multi-objective optimization problem based on quality of service (QoS). The proposed model not only presents different methods for calculating the transportation time and transportation cost under various structures but also solves the three-dimensional composition optimization problem, including service aggregation, service selection, and service scheduling simultaneously. Further, an improved Flower Pollination Algorithm (IFPA) is proposed to solve the three-dimensional composition optimization problem using a matrix-based representation scheme. The mutation operator and crossover operator of the Differential Evolution (DE) algorithm are also used to extend the basic Flower Pollination Algorithm (FPA) to improve its performance. Compared to Genetic Algorithm, DE, and basic FPA, the experimental results confirm that the proposed method demonstrates superior performance than other meta heuristic algorithms and can obtain better manufacturing service composition solutions.     

Analysing the impact of restructuring transportation,production and distribution on costs and environment – a case from the Thai Rubber industry

Transportation and distribution are key elements to successful supply chains, however there is some disagreement regarding the impact of distribution and transportation restructuring on costs and the environment. This paper explores the use of an optimisation model of Thailand’s rubber industry supply chain, to assess the impact of distribution and transportation on costs and greenhouse gas emissions. It has previously been observed that there is a positive correlation between transportation cost reduction and environmental impact, nevertheless the correlation is not clearly established when the distribution system is restructured. This paper is divided into two parts: the first part examines the impact of transportation service capacity on distribution decisions; the second part of the paper aims to examine the impact of restructuring the distribution network considering multi-modal options on cost and greenhouse gas emissions. For both parts a scenario analysis is utilised in conjunction with an optimisation model to derive the best possible answer in terms of costs and GHG emissions. In this paper, the results obtained indicate that the impact on cost minimisation from the increase in rail freight service capacity is marginal, while the impact on GHG emission minimisation is more significant. In terms of short-sea shipping prices and service capacity, the scenario analysis shows a slight positive impact on cost minimisation but no positive or negative impact on GHG emission minimisation. Results also confirm that in terms of economic advantages, distribution network restructuring provides greater benefit to the industry than does capacity development for the transportation service.     

Horizontal collaboration in logistics: decision framework and typology

Logistics service providers become increasingly aware of the need to collaborate to face challenges such as globalization and the heightened expectations of customers. This paper focuses on horizontal cooperation between logistics service providers in road transportation and introduces two novel conceptual models. Firstly, a decision framework for the development and management of horizontal logistics alliances is presented. This framework provides support to logistics service providers considering horizontal collaboration and allows for the analysis of the decision process underlying horizontal logistics alliances. The cyclical framework consists of five stages and attributes a central position to continuous evaluation. Secondly, an easy-to-use typology is proposed which defines six horizontal collaboration types based on their activity scope and degree of structural intertwinement. The typology provides logistics service providers with insights in the various horizontal collaboration types, including some key management questions. Both models are validated by knowledgeable practitioners and are applied to two real-life case studies.     

基于物流服务水平与成本平衡的物流配送中心选址的研究

送货时间是衡量物流服务水平的标准之一,运输成本和库存成本是物流成本的关键指标。物流配送中心的科学合理布局可以有效地缩短送货时间,提高物流服务水平,同时保持低库存．并降低运输费用。首先运用层次分析法对于备选的物流配送中心地点进行筛选,在此基础上通过服务与成本模型得出符合要求的方案。