西部传统物资企业的现代物流发展战略研究

本文对西部传统物资企业如何向现代物流企业转变进行了研究 ,在对企业经营环境分析的基础上 ,运用SWOT分析法 ,指出当前西部传统物资企业应该利用当前有利时机转变经营理念 ,进行循序渐进的现代物流改革 ,积极向第三方物流的角色转变。与此同时 ,加大企业的营销力度 ,拓展企业的生存空间 ,提高企业的竞争力。     

Scheduling Truck Arrivals at an Air Cargo Terminal

We consider the scheduling of truck arrivals at an air cargo terminal. By coordinating arrivals of cargo delivery trucks with outbound flight departure schedules, some of the shipments can be transferred directly to the departing flights, while others will be stored at the terminal's storage facility and incur extra handling and storage costs. The objective is to obtain a feasible schedule so as to minimize the total cost of operations. We formulate the problem as a time‐indexed integer program and show that, even with limited number of unloading docks at the terminal, the problem is non‐trivial (NP‐hard in the strong sense). Our solution method includes an exact solution procedure to determine an optimal unloading sequence for the shipments carried by each truck, together with a Lagrangian relaxation‐based heuristic for assigning trucks to truck docks and determining truck arrival times. We conducted computational experiments to test the performance of our solution method. Computational results show that our method can generate near‐optimal solutions efficiently. Our simulation results indicate that the scheduling approach proposed in this paper has the potential to generate significant cost savings over a first‐come, first‐served approach currently used at the air cargo terminal that we observed.     

Stochastic Optimization for Natural Disaster Asset Prepositioning

A key strategic issue in pre‐disaster planning for humanitarian logistics is the pre‐establishment of adequate capacity and resources that enable efficient relief operations. This paper develops a two‐stage stochastic optimization model to guide the allocation of budget to acquire and position relief assets, decisions that typically need to be made well in advance before a disaster strikes. The optimization focuses on minimizing the expected number of casualties, so our model includes first‐stage decisions to represent the expansion of resources such as warehouses, medical facilities with personnel, ramp spaces, and shelters. Second‐stage decisions concern the logistics of the problem, where allocated resources and contracted transportation assets are deployed to rescue critical population (in need of emergency evacuation), deliver required commodities to stay‐back population, and transport the transfer population displaced by the disaster. Because of the uncertainty of the event's location and severity, these and other parameters are represented as scenarios. Computational results on notional test cases provide guidance on budget allocation and prove the potential benefit of using stochastic optimization.     

信息混沌环境下区域物流能力盲数测评模型

以盲数作为数学工具建立了区域物流能力的盲数测评模型.模型的基本思路是:首先构建区域物流能力构成要素的层次分析体系;然后采用改进的Delphi法建立模糊一致判断矩阵,确定各构成要素的权重;再将专家的评分结果表示成盲数并计算盲数均值;最后采用加权评分的方法得到区域物流能力总的测算值.设计了一个算例,算例表明模型的可行性和适用性.     

An Advanced Heuristic for Multiple‐Option Spare Parts Procurement after End‐of‐Production

After‐sales service is a major source of profit for many original equipment manufacturers in industries with durable products. Successful engagement in after‐sales service improves customer loyalty and allows for competitive differentiation through superior service like an extended service period during which customers are guaranteed to be provided with service parts. Inventory management during this period is challenging due to the substantial uncertainty concerning demand over a long time horizon. The traditional mechanism of spare parts acquisition is to place a large final order at the end of regular production of the parent product, causing major holding costs and a high level of obsolescence risk. With an increasing length of the service period, more flexibility is needed and can be provided by adding options like extra production and remanufacturing. However, coordinating all three options yields a complicated stochastic dynamic decision problem. For that problem type, we show that a quite simple decision rule with order‐up‐to levels for extra production and remanufacturing is very effective. We propose a heuristic procedure for parameter determination which accounts for the main stochastic and dynamic interactions in decision making, but still consists of relatively simple calculations that can be applied to practical problem sizes. A numerical study reveals that the heuristic performs extremely well under a wide range of conditions, and therefore can be strongly recommended as a decision support tool for the multi‐option spare parts procurement problem. A comparison with decision rules adapted from practice demonstrates that our approach offers an opportunity for major cost reductions.     

突破认识的囹圄,推进现代物流业的发展———论现代物流的特征及其发展思路

针对中国现代物流发展面临的矛盾,从分析现代物流业演进的机理入手,指出现有理论主要以业态来把握现代物流业的局限性,以及由此导致实践上的偏差,重新定义了现代物流的概念,把现代物流发展理念、发展动力、发展方式及其本质融入到概念之中.进而论述了现代物流的本质特征、载体特征、方式特征,指出了现代物流业态的不确定性,强调必须充分认识现代物流演进的动力机制、演进规律及其与相关产业之间的联系.在以上理论基础上,通过分析发达国家现代物流发展进程,提出了中国发展现代物流业的基本思路.     

珠江三角洲民营物流企业发展现状研究

以珠三角十家民营物流企业为样本,深入了解民营物流企业的发展、市场定位、内部管理等变量间的数量关系,应用图表分析、描述统计、因子分析、主成分分析等统计分析方法,采用深度访谈与问卷调研相结合的方式具体研究珠三角地区的民营物流企业的发展现状,并进一步提出了针对性的对策建议。     

基于隶属度转换新算法的河北省农村物流体系综合评价研究

首先根据科学性、全面性、可操作性等原则,结合河北省实际情况,构建适合河北省现状的现代农村物流体系评价指标体系;并利用定性和定量相结合的分析方法,即使用层次分析法确定指标体系中各指标的权重,同时应用隶属度转换新算法建立现代农村物流体系模糊综合评价模型,并结合河北省具体情况,进行实证研究,找出了河北省农村物流发展的薄弱环节,为提升河北省农村物流发展水平提供依据。     

我国物流人才素质和结构分析

我国物流业发展对物流人才类别、知识结构、素质和能力提出了新的要求.我们应充分认识我国物流人才的现状,加强物流人才的培养.     

郑州邮政的物流市场分析与定位

特定物流企业的市场分析与定位,可以为类似企业提供有益的借鉴.郑州邮政应凭借其现有的网络与品牌等优势,发展成为地域性的、提供一站式服务的地区内领先的综合性物流提供商.