基于风险辨识的港口物流服务供应商选择与优化研究

发布时间：2018-04-04 17:03

本文选题：风险辨识　切入点：港口服务供应链　出处：《大连海事大学》2012年博士论文

【摘要】：港口服务供应链作为服务供应链在港口物流领域的重要分支,成为当代港口物流产业发展的重要趋势,日渐成为学术界研究的重要课题。港口服务供应链是以港口企业为物流服务集成商和核心企业的新型供应链,通过整合运输、仓储、配送、加工、信息服务等物流服务资源,为船公司或货主提供个性化、集成化和全方位的物流服务。港口物流服务供应商的选择与优化是港口服务供应链构建中的源头问题,直接决定了供应链运作的成败,科学地选择和优化方法可以有效地降低港口服务供应链风险,提升港口服务竞争力。本文基于港口服务供应链风险辨识的视角,站在港口服务供应链的核心企业——港口的角度,对港口服务供应链中的港口物流服务供应商选择与优化问题进行研究。首先,界定了本文的研究内容谈及的风险和港口物流服务供应商都是基于港口服务供应链的研究范畴之内而进行的。阐述了港口服务供应链的相关概念,港口物流服务供应商的概念、类型与功能,并讨论了考虑风险影响下的港口物流服务供应商选择与优化中解决的关键问题。第二,通过相关文献整理和调查问卷,结合基金项目的部分研究成果,系统分析了港口服务供应链的风险因素,提炼得到了港口服务供应链的四大类关键风险,并阐述关键风险因素对港口物流服务供应商选择的影响,在此基础上给出了基于关键风险控制的港口物流服务供应商选择与优化流程。第三,构建了供应风险条件下的同类型服务能力的港口物流服务供应商数量优化决策模型,并通过matlab和crystall仿真进行参数敏感性分析。论文阐述了供应风险条件下港口服务供应链供应风险与管理成本的均衡关系。从概率论的角度构建了确定最优港口物流服务供应商数量优化决策模型,并通过算例加以验证。第四,建立了考虑合作风险控制的港口物流服务供应商评价指标体系,提出了一种变精度的模糊粗糙集评价模型。首先阐述了港口物流服务供应商战略合作关系的形成机理；然后提出了考虑合作风险控制的港口物流服务供应商选择评价指标体系,将合作风险控制体现在指标体系中,并将“合作风险”细分为资源风险、能力风险、绩效风险和协同风险,针对每类风险下的各个指标进行详细阐述。并提出了一种基于变精度的模糊粗糙集评价模型的港口物流服务供应商评价方法,为实值信息系统的多目标决策提供了一个可行的途径。第五,构建了需求风险条件下的港口物流服务供应商的任务分配优化的多目标随机规划模型,并设计线性加权法和序贯式算法编程求解。引入机会约束对下方需求风险水平进行度量；然后综合考虑需求风险、供应风险和合作风险因素,引入能力匹配度的概念,构建了基于单一物流能力和多种物流能力的港口物流服务供应商的物流任务分配多目标随机规划模型,模型综合考虑了整个港口服务供应链的运作成本、货主要求的时间和服务质量等因素,以港口服务供应链的总运营成本最小、港口物流服务供应商的满意度最大和港口的惩罚程度最小为目标,并综合运用线性加权法和序贯式算法对模型进行求解,通过算例仿真加以验证。
[Abstract]:The service supply chain of the port as a service supply chain in the field of port logistics important branch, has become an important trend in contemporary port logistics industry development, has become an important topic in academic circles. The port service supply chain is a new supply chain in port enterprise logistics service integrator and core enterprises, through the integration of transportation, warehousing and distribution. Processing, information services and other resources of logistics services, to provide personalized for the shipping company or owner of the goods, the integration and the full range of logistics services.
The selection and optimization of port logistics service provider is the service supply chain of the port construction in the source of the problem, directly determines the success or failure of the supply chain operation, selection and optimization method can effectively reduce the port service supply chain risk scientifically, enhance the competitiveness of the port service. The service supply chain risk identification of port based on the perspective of the core enterprise service station the supply chain in Port - port angle, to study and optimization of service supply chain of the port in the port logistics service suppliers.
First of all, the definition of the research content of this paper about the supplier risk and port logistics services are based on within the research category of port service supply chain. Expounded the concept of service supply chain of the port, the port logistics service provider concept, type and function, and discusses the thinking to solve the key problems of the selection and optimization of port logistics the service provider under the influence of the risk.
Second, through the relevant literature review and questionnaire, some research results combined with the project, the system analyzes the risk factors of port service supply chain, refined four kinds of key risks to the service supply chain of the port, and expounds the key risk factors affecting service service provider on the selection of port logistics, based on the key the risk control of the port logistics service supplier selection and optimization of the process based on.
Third, construct the optimization decision-making model of port logistics service suppliers supply quantity under the condition of risks the same type of service ability, and the parameter sensitivity analysis through MATLAB and crystall simulation. This paper expounds the supply risk under the condition of the port service supply chain and supply risk management cost equilibrium relationship. From the viewpoint of probability theory is constructed to determine the optimal optimal decision model of port logistics service provider number, and verified by an example.
Fourth, considering the cooperation risk control of port logistics service provider evaluation index system, puts forward the evaluation model of fuzzy rough sets a variable precision. Firstly expounds the formation mechanism of the port logistics service strategic cooperation relationship with suppliers; and considering the port logistics service supplier selection evaluation index system of risk control cooperation, cooperation risk control is reflected in the index system, and the cooperation risk into resource risk, ability risk, performance risk and cooperation risk, for each index of each kind of risk under the detailed elaboration. And put forward an evaluation of the port logistics service supplier evaluation model based on variable precision fuzzy rough set method, provides a feasible way of multi-objective decision for real information system.
Fifth, optimization of task allocation of multi objective stochastic programming model was established under the condition of demand risk of port logistics service providers, and the design of the linear weighting method and sequential algorithm programming. The chance of introducing constraints on the level of risk measurement under the demand; then consider the risk of demand and supply risk and cooperation risk factors, the ability to match the concept of construction, single logistics capacity and a variety of logistics capability of port logistics service supplier logistics task allocation model based on multi-objective stochastic programming model, considering the service supply chain of the port's operating costs, the owner of the time factor and the quality of service, with a minimum of port service supply chain total cost of operation, port the logistics service supplier satisfaction and the minimum penalty level port as the goal, and the integrated use of linear weighting method and sequential type The algorithm is used to solve the model and is verified by example simulation.

【学位授予单位】：大连海事大学
【学位级别】：博士
【学位授予年份】：2012
【分类号】：F552;F224;F259.2

【引证文献】