外文翻译--用港口物流及供应链管理方法来评价港口绩效(节选)

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港口物流绩效评价体系研究

港口物流绩效评价体系研究

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港口的效率及国际贸易:港口的效率作为一个决定性的海洋运输成本【外文翻译】

港口的效率及国际贸易:港口的效率作为一个决定性的海洋运输成本【外文翻译】

外文翻译原文Port Efficiency and International Trade: Port Efficiency as a Determinant ofMaritime Transport CostsMaterial Source: Maritime Economics & Logistics(2003) 5 Author: Ricardo J Sánchez and Gordon WilmsmeierRicardo J Sánchez, Jan Hoffmann, Alejandro Micco, Georgina V Pizzolitto, Martín Sgut and Gordon WilmsmeierAustral University, ArgentinaEconomic Commission for Latin American and the Caribbean, Santiago, Chile Inter-American Development Bank, Washington, USA. E-mail: ricardo.sanchez@AbstractThis paper examines the determinants of waterborne transport costs, with particular emphasis on the efficiency at port level. Its main contribution is (1) to generate statistically quantifiable measures of port efficiency from a survey of Latin American common user ports, and (2) to estimate a model of waterborne transport costs, including the previously generated port efficiency measures as explanatory variables. In order to incorporate different port efficiency measures from the survey, we use principal component analysis (PCA). Our estimations show that the specified variables in the model explain a great proportion of the change in waterborne transport costs. With regard to port efficiency, the result is especially important for one of the port efficiency measures obtained through PCA with an estimated elasticity equivalent to that of distance. Other explanatory variables which show to be statistically significant are the monthly liner service availability, distance, and the goods' value per ton. The conclusions are relevant for policy makers as they show and quantify that port efficiency is a relevant determinant of a country's competitiveness – and in this respect, there still exist big differences among Latin American countries. Unlike most other relevant variables, port efficiency can be influenced by public policies.Keywords: Port efficiency, multivariate analysis, freight costs, Latin America INTRUCTION: MARITIME TRANSPORT COSTS AND INTERNATIONAL TRADEThe paper is organised as follows: This chapter contains a general introduction that looks at the relation between transport costs and international trade. In the second chapter, principal components are computed from a Latin American Port survey. The third chapter describes the model and the estimation results, followed by the conclusion and interpretation of results.The impact of the costs of transport on foreign trade and economic developmentImprovements in international transport services are one of the main features of economic globalisation. Together with progress in telematics, standardisation and trade liberalisation, faster, more reliable and cheaper transport services are contributing to the integration of production processes at the global level.International freight has an impact on trade similar to customs tariffs or the exchange rate: a reduction in the costs of transport directly stimulates exports and imports, just as an increase in the exchange rate (the rate at which the national currency may be exchanged against another) makes exports more competitive, and a reduction in national customs tariffs lowers the costs of imports. Spurred by trade liberalisation, customs tariffs have dropped to levels where in many cases any additional reduction would now no longer have a significant impact. It is perhaps for that reason that new and interesting studies have been published in recent years analysing the impact of transport costs on trade patterns and globalised production (see for example Kumar and Hoffmann (2002) for a literature overview).The impact on tradeThe price of the vast majority of traded goods is exogenous for developing countries. If the shipping of imports becomes more expensive, higher prices ensue as a result of the increased cost of imported goods; in the case of intermediate and capital goods, this also increases the costs of local production. If exports become dearer to ship, the result is a drop in earnings for the exporting country or simply the loss of a market, depending on the elasticity of demand and the availability of substitutes. Econometric estimates suggest that the doubling of an individual country's transport costs leads to a drop in its trade of 80% or even more (Hummels, 2000; Limao and Venables, 2001).Quality versus costsAs with goods, the production of transport services is also subject to the impact of technological advances. With the use of new information and communication technologies, improvements in infrastructure, and by taking advantage of the growing rate of containerisation, today the same freight and insurance per tonne of cargo can buy a quicker, more reliable service with less variation in delivery time than a decade ago.In addition, it is worth noting that greater commercial demands as regards speed have at the same time given rise to an increase in the share of air transport as compared to maritime transport, and may entail an increase in the average cost of international transport. The fact that the average cost of freight and insurance rose worldwide in the 1990s (see Table 1) should not be interpreted as a worsening of the international transport system, but rather as a reflection of greater use of air transport and improvements in other transport services. Equivalently, when interpreting the regression results presented later in this paper, improved port efficiency does not necessarily imply lower transport costs, as the user may be required to pay for the improved service.Direct impacts versus indirect impactsThe distance separating countries impacts on trade between them in different ways. The main models used to explain international trade flows can be described as 'gravitational': countries trade with one another depending on their patterns of production, income, and whether they belong to economic blocs, with the distance between them also having some bearing. That gives an advantage to countries located in the 'center of gravity', and hence the name of the model. There is an assumption of a close link between distance and transport costs, which would explain why countries closer to one another trade more than with countries further away. In practice, distance may also have a bearing on other characteristics of countries, which leads them to trade more. For instance, countries located nearer to one another tend to have more similar histories, cultures and languages.Most importantly, geographical closeness provides scope for alternative modes of transport to sea and air, thereby boosting competition and reducing prices for services. In other words, shorter distances entail lower costs and more trade. Increased trade in turn makes for economies of scale, leading to even further reductions in transport costs. In the case of intra-Latin American seaborne trade, a partial correlation coefficient of -0.463 is calculated between distance and the volume of bilateral trade, with a coefficient of +0.178 between distance and the costsof transport per ton. In other words, distance has its own bearings on trade and should not be taken only as a proxy for transport costs.Latin America's foreign tradeIn terms of volume (tonnes), trade using air transport accounts for barely 0.1–0.6% of the foreign trade conducted by the countries of Latin America; in terms of value (USD), however, this mode represents anywhere between 8% and 21% (Table 2). The table also indicates that sea- and airborne transport are used particularly in foreign trade conducted by Argentina, Brazil, Chile, Colombia, and Peru, while in Mexico (significant trade with the United States) and Uruguay (significant trade with Brazil and Argentina), the overland mode plays a relatively greater role.Air transport's share is higher in long-distance trade; accordingly, although total trade decreases with distance, there is virtually zero correlation (-0.001) between distance and the volume of airborne trade (estimate for intra-Latin American trade).Transport costs of intra-Latin American tradeFor the 10 countries included in Table 3, Chilean exports to Uruguay have the highest transport costs as a percentage of the value of trade, followed by Ecuador's exports to Uruguay and Paraguay's to Ecuador. On average, the country with the highest transport costs for its imports from other Latin American countries is Ecuador, followed by Chile. Trade between Paraguay and Uruguay has the lowest transport costs, followed by that between Argentina and Uruguay, and Argentina and Brazil.It is not possible, using these figures, to reach hasty conclusions about the efficiency of the respective transport services, nor to conclude that transport in one country is more 'expensive' than in another. For example, the low density of regular shipping services (liner services), together with the natural barrier of the Andes, appear to be part of the reason why transport between countries on the west and east coasts of South America tends to be more expensive than transport along the same coast. It should be noted that the figures in Table 3 are averages that cover all modes of transport and many different types of goods.The remainder of this paper will now look in more detail into the determinants of the maritime transport costs, with a special emphasis on the impact of port efficiency indicators for containerised cargo.Measuring port efficiencyPort of shipment efficiency was measured by using direct information gatheredby way of extensive questionnaires as a part of this research. A number of potentially explanatory variables on port efficiency were measured, which were then grouped through the principal component analysis.Through the survey, we obtained information about port activity for the year 1999. The questionnaires were sent to 55 port terminals. Responses were received from 41 port terminals mainly handling general containerised cargoes. These terminals handle over 90% of the containers exported from their respective countries. The responses corresponding to bulk items and pallet break-bulks were insufficient as regards statistical purposes, and had to be discarded. Other terminals had to be excluded due to insufficiently complete responses. Table 4 lists the 19 ports that were included in this study.To avoid concerns about overparameterisation and spurious correlations between multiple variables, a PCA was conducted. The identified factors, which retained the patterns of the original variables, were to be introduced as new variables into the latter regression model. The correlations between the obtained port activity variables ranged from -0.295 to 0.969 (Table 5). As anticipated, most of the nine variables are heavily correlated. The first three, out of nine components, account for more than 70% of the intrinsic variance of the data fulfilling the Kaiser criterion with eigenvalues over 1.The Kaiser–Meyer–Olkin (KMO) overall statistic delivers 0.625 as a result for the sample of port efficiency variables, which indicates the sampling adequacy of the chosen variables. The PCA extracted three factors (Table 6). The first component, which accounted for more than 40% of the total variance, incorporates the bureaucratic turnaround of a container, the terminal turnaround for loading and unloading of a container, the average waiting time for ships during congestion time, the average waiting time for ships without congestion in the port, and the time of port congestion during the year. Together, these variables could be interpreted as representing port's time efficiency.The loading and unloading rate per hour, the handling capacity, and the average number of containers per ship handled in the terminals loaded high in the second component, which can be referred to as the productivity of the terminal.Finally, the average port stay of the ships was found as a single variable loaded on the third component.The original, unrotated principal components solution maximises the sum of squared factors loadings, efficiently creating the set of factors in the table above.However, unrotated solutions are hard to interpret because variables tend to load on multiple factors. Using the Varimax rotation realises an orthogonal rotation of the factor axes to maximise the variance of the squared factor loadings of a factor on all the variables.References:1. Australian Productivity Commission. 1998: International benchmarking of the Australian waterfront. AUSINFO: Canberra.2. Baños, J, Coto, P and Rodriguez, A. 1999: Allocative efficiency and over-capitalisation. International Journal of Transport Economics 2: 201–221.3. Clark, X, Dollar, D and Micco, A. 2001: Maritime transport costs and port efficiency. Mimeo, World Bank, February.4. Coto, P, Baños, J and Rodriguez, A. 2000: Economic efficiency in Spanish ports: some empirical evidence. Maritime Policy and Management 27: 2.5. ECLAC. 2002: Globalization and development. Santiago, April.6. Estache, A, González, M and Trujillo, L. 2001: Efficiency gains from port reform and the potential for yardstick competition. Mimeo. World Bank, Washington DC.7. Fink, C, Mattoo, A and Neagu, IC. 2000: Trade in international maritime services: how much does policy matter?. Mimeo, World Bank, Washington, DC.8. Fuchsluger, J. 2000: Maritime transport costs in South America. Masters Theses, University of Karlsruhe, Karlsruhe.9. Gorman, M. 2002: Revisiting the JIT paradigm. Ascet 4: 104.10. Gosh, B and De, P. 2000: Impact of performance indicators and labour endowment on traffic: empirical evidence from Indian ports. International Journal of Maritime Economics, II: 259–281.11. Hoffmann, J. 2001: Latin American ports: results and determinants of private sector participation. International Journal of Maritime Economics 3: 221–230. | Article |12. Hoffmann, J. 2002: The cost of international transport, and integration and competitiveness in Latin America and the Caribbean. ECLAC FAL Bulletin 191: 3.13. Hummels, D. 2000: Have international transportation costs declined?. Mimeo, Chicago.14. Kumar, S and Hoffmann, J. 2002: Globalization: The Maritime Nexus. Maritime business and economics. LLP: London, November.15. Limao, A and Venables, J. 2001: Infrastructure, geographical disadvantageand transport costs. World Bank Economic Review No. 15, Washington.16. Martinez-Budria, E, Diaz-Armas, R, Navarro-Ibanez, M and Ravelo-Mesa, T. 1999: A study of the efficiency of Spanish port authorities using data envelopment analysis. International Journal of Transport Economics 2: 263–281.17. Martínez-Zarzoso, I, García-Menéndez, L and Suárez-Burguet, C. 2002: The impact of transport costs on international trade: the case of Spanish ceramic exports. Conference Proceedings, International Association of Maritime Economist, Annual Meeting and Conference. Panama, November.18. Micco, A and Pérez, N. 2001: Maritime transport costs and port efficiency. Inter-American Development Bank, IADB Annual Meeting, Santiago.19. Radelet, S and Sachs, J. 1998: Shipping costs, manufactured exports, and economic growth. Mimeo, Harvard.20. Redding, S and Venables, J. 2001: Economic geography and international inequality. Mimeo, London.21. Roll, Y and Hayuth, Y. 1993: Port performance comparison applying data envelopment analysis (DEA). Maritime Policy and Management, 20: 195–217.22. Tongzon, J. 2001: Efficiency measurement of selected Australian and other international ports using data envelopment analysis. Transportation Research Part A: Policy and Practice 35: 314.23. UNCTAD. 2002: Review of maritime transport. Geneva.24. Valentine, VF and Gray, R. 2001: The measurement of port efficiency using data envelopment analysis. World Conference on Transport Research, Seoul, July.25. Wang, TF, Song, DW and Cullinane, K. 2002: The applicability of data envelopment analysis to efficiency measurement of container ports. Conference proceedings, International Association of Maritime Economist, Annual Meeting and Conference. Panama, November.译文港口的效率及国际贸易:港口的效率作为一个决定性的海洋运输成本资料来源:Maritime Economics & Logistics(2003)5 作者:Ricardo J Sánchez and Gordon Wilmsmeier摘要安排如下:第一章包含了一般性的介绍,关于国际间的运输成本和贸易关系。

港口物流绩效评价方法

港口物流绩效评价方法

港口物流绩效评价方法浅析摘要:国内对港口物流绩效的研究还不是很成熟,但最近几年来已有很多学者开始从事这方面的研究,从一开始的港口发展到了港口物流的研究。

本文简要分析港口物流绩效评价方法,然而对港口物流绩效的研究大多只针对国内为数不多的港口进行研究,真正应用于港口还存在很大的困难。

关键词:港口;物流绩效;港口物流绩效一、港口物流绩效的基本内涵1、物流绩效关于物流绩效的定义一直都没有一个统一的结论。

大量文献中对物流绩效提出了许多不同的衡量尺度,包括效力、效率、质量、生产率、创新性、利润率以及预算性等。

恽伶俐给出的物流绩效的定义是:物流绩效是物流活动过程中一定量的劳动消耗和劳动占用与所符合社会需要的劳动成果的比例。

keebler对物流绩效的定义给出了5项建议:(1)研究者们需要更加明确绩效指标的定义与缺陷;(2)更多地具有创新性的研究应对企业财务绩效评价体系进行补充;(3)物流绩效评价动态模型需要进行开发,以适应由行业、企业以及产品变革所引起的绩效衡量尺度的变化;(4)应该考虑在供应链下进行绩效评价,而不是单纯地对单个企业进行评价;(5)需要建立理论与实践相联接的桥梁。

2、港口物流绩效与前文中所给出的物流绩效五项建议的定义结合,本文将港口物流绩效定义为:港口物流绩效评价指的是对港口硬件水平、经营管理水平、客户满意度等特定的港口物流软硬件条件和服务水平以及运作环节数据的采集、整理、分类、分析、解释和传播,采取相应的评价模型和评价计算方法,来对以往行为的效力或效率进行量化,做出的客观、公正和准确的评判,并据此做出相应决策,采取相应行动的过程和结果。

港口物流绩效评价具有静态性与动态性;可组合性与可分解性;完整性与开放性等特点,其中物流绩效可以是一个静态评价结果,也可以是一个产生该结果的动态活动过程。

两者既可以单独作为指标进行考核,也可以同时进行评价。

可见,港口物流绩效的衡量实质是对港口物流环节中的硬件能力、经营管理能力以及服务能力的考量,只有硬件能力强才能吸引更多大型公司以及大宗货物的靠泊,能提供良好的服务才能揽的更多的货物,只有良好的经营管理能力,利用先进的物流技术,才能提高其运作效率。

外文翻译--- 供应链管理下的库存控制

外文翻译--- 供应链管理下的库存控制

外文翻译--- 供应链管理下的库存控制在供应链管理环境下,库存控制仍然存在一些问题,需要企业及时解决。

主要问题包括以下几个方面:1.信息不对称在供应链中,不同企业之间的信息不对称问题比较严重,导致企业难以准确预测市场需求,从而影响库存控制的效果。

2.订单不稳定供应链中的订单不稳定性也是影响库存控制的重要因素之一。

订单不稳定会导致企业难以确定库存水平,从而影响供应链整体绩效。

3.物流配送问题物流配送问题也是影响库存控制的重要因素之一。

物流配送不畅会导致库存积压,增加企业的库存成本。

4.缺乏协调供应链中各个企业之间缺乏协调也是影响库存控制的重要因素之一。

缺乏协调会导致企业之间的库存信息不同步,从而影响供应链整体绩效。

为了解决这些问题,企业需要采取一系列措施,如加强信息共享、优化订单管理、完善物流配送体系、建立协调机制等,以提高供应链整体绩效和库存控制的效果。

尽管从宏观角度来看,供应链管理环境下的库存控制比传统管理更具优势,但实际操作中,由于每个企业对供应链管理的理解存在差异,存在利益冲突等问题,导致实际运用时也会出现许多问题。

其中,主要存在以下几个方面的问题:1.各企业缺乏供应链管理的整体观念,导致各自为政的行为降低了供应链整体效率。

2.交货状态数据不准确,导致客户不满和供应链中某些企业增加库存量。

3.信息传递系统低效率,导致延迟和不准确的信息,影响库存量的精确度和短期生产计划的实施。

4.缺乏合作与协调性,组织障碍是库存增加的一个重要因素。

5.产品的过程设计没有考虑供应链上库存的影响,导致成本效益被库存成本抵消,引进新产品时也会遇到问题。

因此,在供应链管理环境下,需要制定合适的库存控制策略,包括建立整体观念,提高信息传递效率,加强合作与协调性,考虑库存影响的产品设计等措施,以提高供应链整体效率。

针对库存管理问题,我们推出以下策略:1.供应商管理库存策略:VMI(Vendor Managed Inventory)库存管理模式。

港口物流效率评价与优化方法研究

港口物流效率评价与优化方法研究

港口物流效率评价与优化方法研究港口物流是国际贸易与全球供应链的重要组成部分,港口物流的高效运作对于促进经济发展和提高国际竞争力具有重要意义。

然而,随着经济全球化的推进和物流需求的不断增加,传统的港口物流模式已经难以满足人们对效率和质量的要求。

因此,对港口物流的效率进行评价并寻求优化方法显得尤为重要。

一、港口物流效率评价方法1. 简单加权平均法简单加权平均法是最常用的评价港口物流效率的方法之一。

这种方法适合用于初步评估,采用主观赋权的方式将各项指标进行加权求和,形成综合指标。

例如,可以将货物吞吐量、装卸效率、运输成本等指标进行综合加权,以评价港口的整体效率。

2. DEA方法DEA(Data Envelopment Analysis)是一种基于线性规划的效率评价工具,它可以通过比较数据输入和输出的关系,得出各个港口的效率得分,从而找到效率较高的港口作为效率改进的目标。

DEA方法具有很强的实用性,可以综合考虑多个输入和输出指标,并在不同环境下评价港口的效率。

3. BSC方法BSC(Balanced Scorecard)方法是将港口物流的效率评价与港口的战略目标相结合的方法。

通过制定与港口战略目标相关的评价指标体系,并根据重要性进行加权,可以更加全面和客观地评价港口物流的效率。

此外,BSC方法还可以帮助港口制定合理的优化策略,从而实现港口物流的持续改进和提高。

二、港口物流效率优化方法1. 建立智能港口管理系统智能港口管理系统可以集成各种先进的信息技术手段,通过数据采集、处理和分析,实时监控港口物流的各项指标,并进行智能预测和优化调度。

例如,利用物联网技术可以实现对港口设备和货物的追踪,提高装卸效率和运输安全性;利用人工智能和大数据分析技术可以优化船舶和车辆的调度,减少拥堵和等待时间。

2. 优化供应链管理港口物流的效率受到供应链的影响,优化供应链管理可以提高港口物流的整体效率。

通过与港口的供应商和客户紧密协作,建立高效、灵活和可靠的供应链网络,可以减少物流环节中的浪费和延误,提高货物的流转速度和效率。

供应链绩效评价的方法

供应链绩效评价的方法
3.柔性评价主要包运作参考模型(supply chain operations reference, SCOR)是由供应链理事会SCC于1997年提出来的。
二、SCOR法
• SCOR体现了“从供应商的供应商到客 户的客户”的供应链管理思想,覆盖了 从订单到付款发票等的所有客户的交互 环节、供应商的供应商到客户到客户的 所有物流转运、所有的市场交互、总体 需求的了解和每个订单的执行。
四、平衡供应链计分法
• 在实践过程中,人们倾向于平衡运作各个方面的绩效指标,能 够同时反映供应链整体战略的执行情况,以体现集成、跨流程指 标和诊断性指标之间的相互作用,着重强调企业战略在绩效评价 中所扮演的重要角色。所以结合Kaplan和Norton发表的平衡计分 法,将其转换为供应链的绩效评价系统工具,建立起合理的平衡 供应链计分法。
四、平衡供应链计分法
• 平衡供应链计分法的四个 评价角度:
① 客户角度 ② 内部流程运作角度 ③ 改进学习角度 ④ 财务角度
供应链绩效评价的方法
供应链绩效评价的一般方法
ROF法 SCOR法 ABC法 平衡供应链计分法
一、ROF法
资源 (resources)
1.资源评价包括对库存水平、人 力资源、设备利用、能源使用和 成本等方面。
产出 (output)
柔性 (flexibility)
2.产出评价主要包括客户响应、 质量以及最终产出产品的数量。
• 物流绩效
• 从接到订货至发运的提前期 • 订单完成率 • 订单的响应速度
• 柔性与响应性
• 生产柔性 • 供应链提前期
• 物流成本
• 物流管理成本 • 订单管理成本
• 资产管理
• 库存占销售产品成本的比率 • 现金周转率 • 净资产收益率

港口物流绩效评估与优化研究

港口物流绩效评估与优化研究近年来,随着物流行业的不断发展以及国际经贸的日益繁荣,港口物流成为了连接国际贸易和内陆运输的重要枢纽,对于提高国家的贸易竞争力、优化资源配置、促进经济发展起到了至关重要的作用。

然而,港口物流运作过程中存在效率低下、资源浪费、运作成本过高等问题,如何评估港口物流绩效并进行优化研究,已成为当前行业内亟待解决的问题之一。

一、港口物流绩效评估模型港口物流绩效评估是港口物流优化的前提和保障,评估过程需要考虑多种因素,如货运流量、运输成本、操作效率等。

对于港口物流企业来说,绩效评估旨在评估各个业务环节的运营效率,以及识别业务中存在的风险和问题,从而制定合理的优化措施,提高港口物流运作效率和降低成本。

根据以上考虑的因素,建立港口物流绩效评估模型,可以从物流成本、货运量、设备利用率等各个方面来反映港口物流的绩效。

物流成本方面,港口物流企业可通过公式:总成本=运营成本+固定成本+管理成本,来评估港口物流运营成本的结构和水平。

货运量方面,可通过公式:货物吞吐量*货物单价=货运量,来评估物流业务的运输量和价值。

设备利用率方面,可通过公式:设备运转时间/设备开放时间=设备利用率,反映设备利用率的高低程度。

以上公式可看作是港口物流绩效评估的理论基础,通过建立多个因素的评估模型,并综合考虑各个方面的因素,来评估港口物流的绩效水平。

二、港口物流优化案例分析港口物流优化是一项长期、复杂的过程,需要综合考虑多种因素,并根据实际情况制定相应的优化措施。

以下是江苏某港口的物流优化案例分析。

一是改造前某钢铁企业采用大型车辆进出口岸,车辆进出企业速度缓慢,单日处理运输量极低。

后改为小型车辆进出口岸,不仅提高了车辆进出企业的速度,还增加了港口物流运输的普及率,提升了整个港口物流的效益。

二是借助AI技术对港口物流的各个环节进行优化。

以江苏某港口为例,利用人工智能技术对货运队列、船舶、码头和传统物流作业进行智能识别,则可以实现对船舶停靠的货物进行识别和自动化,提高了港口物流的处理能力和效率。

港口物流的质量管理及定量评估方法

港口物流的质量管理及定量评估方法港口物流是现代物流业的重要组成部分,承担着货物进出口、储存、加工、运输等多重职能,保障着全球贸易链的顺利运转。

而港口物流的质量管理是保证港口物流服务质量和运作效率的重要手段。

本文将探讨港口物流的质量管理意义、存在的问题以及定量评估方法。

一、港口物流的质量管理意义港口物流的质量直接影响着港口的形象和声誉,也是影响港口竞争力的重要因素。

质量管理可以明确服务标准、要求流程规范、优化服务流程,提高服务效率,增强客户满意度,从而提高港口的市场竞争力。

另外,随着物流业发展和技术的普及,客户对港口物流服务的要求也越来越高,环境法规的不断完善对港口的要求也越来越苛刻。

港口物流的质量管理不能仅仅停留在传统的质量检测和认证,而应采用更细致、全面、科学的质量管理方法,推动港口物流业的可持续发展。

二、港口物流质量管理存在的问题1.质量标准不统一。

港口物流涉及多种服务对象和行动,而各服务对象的对质量标准的要求存在明显差异,标准不统一成为港口物流质量管理的难点之一。

2.信息不透明。

港口涉及多个部门和单位,信息分散且不透明,而质量管理需要建立信息共享机制,对信息的采集、分析、应用和反馈进行全面管理和掌控。

3.管理缺乏科学化和规范化。

传统的管理方式多采用经验主义,未能采用科学化和规范化的管理手段,管理效率较低。

三、港口物流质量管理定量评估方法港口物流质量管理定量评估方法是评价港口物流质量管理水平、发现问题并进行改进的一种有效途径。

具体方法如下:1.质量评估指标体系的构建。

从质量、速度、成本、服务、环境等多个维度构建指标体系,量化评估港口物流质量。

2.数据采集和处理。

建立港口物流信息平台,采集多种数据,包括货物流出入量、流量变化、客户满意度等等,对数据进行处理和分析。

3.评估结果的分析和反馈。

对评估结果进行分析,寻找问题和优势点,并对问题提出改进建议,反馈给港口物流中心和相关部门。

4.质量管理改进。

供应链绩效评价常用指标

供应链绩效评价常用指标成本指标是评价供应链绩效最常用的一类指标,常见的成本指标有:1. 成本效益比率(Cost benefit ratio,CBR):该指标是衡量投资与收益的比率,通过计算供应链的总成本与总利润之间的比率,用于评估投资的回报率。

CBR越高,表示供应链的绩效越好。

2. 库存成本率(Inventory carrying rate,ICR):通过计算存货成本与存货价值之间的比率,来衡量供应链的库存效率和成本。

ICR越低,表示供应链的库存成本控制得越好。

3. 运输成本率(Freight cost rate):衡量供应链物流运输成本与销售额的比率。

通过比较不同的运输成本率,可以找出供应链中运输成本较高的环节,并采取相应的措施进行优化。

时间指标是评价供应链响应速度和效率的指标,常见的时间指标有:质量指标是评价供应链产品和服务质量的指标,常见的质量指标有:1. 缺陷率(Defect rate):衡量供应链产品或服务的缺陷比例,通过降低缺陷率可以提高供应链的产品质量。

2. 客户满意度(Customer satisfaction):通过对顾客进行满意度调查,反映供应链产品和服务质量的满意程度。

客户满意度高,表示供应链产品和服务的质量较高。

3. 故障率(Failure rate):衡量供应链中设备或系统发生故障的比例。

通过降低故障率可以提高供应链的稳定性和可靠性。

除了上述常用指标外,根据不同行业和供应链的特点,还可以根据具体情况选择其他适合的指标进行绩效评价。

绩效评价并不是一次性的工作,需要不断地监测和调整,以保持供应链的良好运作和高效运转。

全球集装箱港口绩效指数定义

全球集装箱港口绩效指数定义全球集装箱港口绩效指数,这个名词一听就让人觉得有点复杂对吧?但其实它就像是一份港口的“成绩单”,告诉我们哪些港口做得好,哪些还需要加油。

想象一下,你每天都在忙着把货物装进大船里,这些货物可都是你生意的命根子。

如果港口效率不高,货物就得在那儿等,时间就是金钱,谁都不想白白浪费。

那绩效指数就是为了帮我们了解这些港口的表现,简直就像是给港口打分。

说到港口,大家脑海中是不是都有一幅画面?高高的吊车、长龙般的集装箱、忙忙碌碌的人群,简直就是一幅现代化的图景。

这些港口可是世界贸易的心脏,不仅把商品从一国送到另一国,还把人们的生活紧紧联系在一起。

想象一下,如果你的新手机在港口“堵车”,你可能要等上几个星期才能用上,心急火燎的滋味,谁能受得了呢?绩效指数的计算可不简单。

它考虑了很多因素,比如装卸效率、等待时间、运送时间等等。

就像一场比赛,所有的参赛选手都要拼尽全力,才能获得好名次。

而这个指数就像是裁判,给每个港口一个公正的评价。

表现好的港口,大家都会愿意去,毕竟谁不想轻轻松松完成运输任务呢?不说你可能不知道,这些港口的绩效还会影响到国际贸易的格局哦。

想象一下,如果某个港口突然效率高得离谱,肯定会吸引一大批商家前来。

这就像是一个“聚光灯”照在它身上,大家都想往那儿跑。

而那些表现不佳的港口,可能就会被逐渐“冷落”。

你看,港口之间的竞争可不是开玩笑的!绩效指数不仅是给商家的参考,还是国家制定的重要依据。

相关部门可是非常重视这些数据,毕竟港口的表现关系到整个经济的命脉。

如果发现某个港口的效率下降,可能就会投入更多资源进行改造和升级。

就像是为一颗“老树”施肥,期望它能再次焕发光彩。

在这个全球化的时代,信息传播得可快了,大家都在为自己的港口“打广告”。

所以,绩效指数成了一个很重要的指标,吸引商家和投资者的目光。

想象一下,当你在选择哪个港口运输时,看到一个港口的绩效指数高得吓人,心里是不是会想:“这儿一定不会让我失望!”对吧?说到这里,咱们还得提一下这些港口的背后,离不开那些默默奉献的工人们。

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2474单词,4400汉字本科毕业论文外文翻译外文题目:A logistics and supply chain management approach to port performance measurement出处:MARIT. POL. MGMT作者:Khalid Bichou and Richard Gray原文:A logistics and supply chain management approach toport performance measurementBy Khalid Bichou and Richard GrayMARIT. POL. MGMT2004VOL. 31, NO. 1, 47–67ABSTRACTAlthough there is widespread recognition of the potential of ports as logistics centres, widely accepted performance measurements for such centres have yet to be developed. The essence of logistics and supply chain management is an integrative approach to the interaction of different processes and functions within a firm extended to a network of organizations for the purpose of cost reduction and customer satisfaction. The logistics approach often adopts a cost trade-off analysis between functions, processes and even supply chains. This approach could be beneficial to port efficiency by directing port strategy towards relevant value-added logistics activities. This paper seeks to show that through conceptualizing ports from a logistics and supply chain management approach, it is possible to suggest a relevant framework of port performance. A proposed framework is tested in a survey of port managers and other international experts.IntroductionMeasures of port efficiency or performance indicators use a diverse range of techniques for assessment and analysis, but although many analytical tools and instruments exist, a problem arises when one tries to apply them to a range of ports and terminals. Ports are very dissimilar and even within a single port the current or potential activities can be broad in scope and nature, so that the choice of an appropriate tool of analysis is difficult. Organizational dissimilarity constitutes a serious limitation to enquiry, not only concerning what to measure but also how to measure. Furthermore, the concept of efficiency is vague and proves difficult to apply in a typical port organization extending across production, trading and service industries.Ports have an important role to play in the integration of all three types of channel. There are many organizations occupied (or potentially occupied) with logistics and supply chain integration within and around ports, mainly in the role of logistics channel facilitators (ocean carriers, land-based carriers, port operators, freight forwarders, port agents, etc.), but also as public institutions such as Customs authorities. This paper seeks to adopt an approach that incorporates within a valid framework of analysis existing measures of port performance and efficiency, the association of ports with logistics and supply chain management, and appropriate measures of logistics and supply chain management efficiency.Background literaturePort performance and efficiencyUNCTAD suggests two categories of port performance indicators: macro performance indicators quantifying aggregate port impacts on economic activity,and micro performance indicators evaluating input/output ratio measurements of port operations. In this paper, we focus on the micro level. Various references, particularly UNCTAD monographs, provide a range of port indicators by ratio type and category of operation. There are many ways of measuring port efficiency or productivity, although reducible to three broad categories: physical indicators, factor productivity indicators, and economic and financial indicators. Physical indicators generally refer to time measures and are mainly concerned with the ship (e.g. ship turnaround time, ship waiting time, berth occupancy rate, working time at berth).Sometimes, coordination with land modes of transport is measured, e.g. cargo dwell time or the time elapsed between cargo being unloaded from a ship until it leaves the port.Factor productivity indicators also tend to focus on the maritime side of the port,for example to measure both labour and capital required to load or unload goods from a ship. Similarly, economic and financial indicators are usually related to the sea access; for example, operating surplus or total income and expenditure related to gross registered tonnes (GRT) or net registered tonnes (NRT), or charge per twenty foot equivalent unit (TEU). Port impacts on the economy are sometimes measured to assess the economic and social impacts of a seaport on its respective hinterland or foreland. The results may be provided in port statistics, e.g. the port of Rotterdam or by research institutes such as ISEMAR in France.Many ports, particularly those in urban areas, have inadequate land-side connections. Land-side efficiency also needs to be addressed when ways are sought to expand port capacity. Port capacity is difficult to measure or even to define. It is, nevertheless, likely to be easier for a port to make better use of existing capacity rather than subsidize new transport infrastructure. A logistics and supply chain approach may achieve better use of port capacity.Port activities are usually measured by cargo output or through production functions. In the first case, the assessment of efficiency is based either on the contribution of a single factor productivity to port throughput such as output per worker or output per wharf, or on the measurement of total cargo handling productivity, where performance evaluation equates port operations to the production function. Much empirical research falls under this category and seeks to compare actual output to optimum output using the frontier method.Review of port literature relevant to logistics and supply chain management.In the port and shipping literature, few authors have addressed the issue of logistics and supply chain management within ports and across their network of organizations, and many published works adopt a fragmented approach to port operations.Although current literature recognizes the role of ports as integral components of distribution systems, many studies disaggregate total port operations and focus on single or a few elements of port activity. Literature on port logistics has only developed over the last two decades or so, for exampleby UNCTAD through a series of monographs on port management and operations, or the World Bank’s‘Port Reform Tool Kit’describing recent trends in port management and suggesting a framework for port reform and development. UNCTAD defines ‘third generation’ports as those offering value-added services (e.g. warehousing, packaging) in addition to cargo handling, and ‘fourth generation’ports as those that are separated geographically but with common operators or administration, such as by global multi-port companies [42]. In an effort to assess the logistics potential of ports, Harding and Juhel distinguish between general logistics services (GLS) and value-added activities or logistics (VAL), with the latter being a common feature of containerised and general cargo. They highlight the increasing role of ports as ‘distriparks’or dedicated areas for both GLS and VAL. They also point out the future of inland logistics centres or dry ports (e.g. inland container depots) for logistics operations that do not need to be carried out in the seaport area.Much of the literature advocating the future of ports as logistics centres highlights their nodal role in the changing patterns of maritime and intermodal transport (e.g. hub and spoke systems), but overlooks logistics integration of the various activities performed within the port organization itself. Most published articles address separately different aspects of port management (cost-analysis, marketing, strategic planning, etc.) without incorporating them into an integrated logistics framework of customer service, total costs or trade-off analysis. For instance, the question of the total cost that a cargo bears throughout different port operations up to the final customer or user does not appear to have been discussed in the academic literature. The same applies to competitive benchmarking between the management of seaports and that of other entities with similar operational features, e.g. airports or regional distribution centres.For some, this fragmented approach is mainly due to the complex organizational structure and management of ports, although recent port privatization schemes may have made it relatively easier to apply an integrative logistics approach to port operations. Fleming and Baird consider that the lack of a ‘competitive community spirit’among different port actors (e.g. customs authorities) is largely behind the difficulty of managing activities from a logistics perspective. The complex organizational structure of ports has always been a central issue in most aspects of port management, and probably constitutes themajor obstacle to the development of a comprehensive conceptual framework of port logistics management.Supply chain management extends the principle of logistics integration to all companies in the supply chain through strategic partnerships and cooperation arrangements. Some regard the next challenge of supply chain management is to manage ‘pliant flows’so as to ensure that all parts of the chain ‘oscillate together’in an holistic fashion. In similar vein, others stress the need for ‘agile’supply chains in order to survive in a rapidly changing global environment. Paixao and Marlow advocate the application of ‘agility’to the port environment, proposing that ports should be proactive rather than reactive along supply chains in a modern globalized world economy.Review of relevant logistics and supply chain measurementsMany techniques of logistics measurement adopt ratio instruments of financial reporting and productive efficiency. For instance, logistics performance is assessed through productivity and utilization measurement, or by applying the DEA model to international channel productivity. Most of the available logistics measurements correspond to a firm’s internal functions and processes. For example, a report by the European Logistics Association arranges logistics performance measurements into eight groups, but does not organize them into an integrative and comprehensive framework. Measurement techniques that have gained recognition from logistics professionals include activity-based costing (ABC) and total cost analysis (TCA). The former proposes an evaluation of the costs of a firm’s activities based on the actual resources and time consumed to perform them, whereas the latter proposes a trade-off analysis among different internal functions to minimize the total cost, while at the same time maintaining customer satisfaction.The use of TCA is extended to external logistics performance by integrating various flows and processes in the supply chain.In the area of supply chain management, the academic literature has been less successful in providing valid tools for performance measurement, and most performance measurements have been initiated by practitioners or consultants rather than through academic research. Exceptions include Kaplan and Norton who combine several dimensions of performance measurement. They provide a linear cause-and-effect model claimed to serve both measurement and management objectives. The Supply-Chain Operations Reference(SCOR) initiative undertaken by the Supply-Chain Council (SCC) attempts to integrate process reengineering, benchmarking, and process measurements into a cross-functional framework. Holmberg’s model proposes a conceptual framework of performance analysis throughout a systems approach to supply chain measurement. Process benchmarking is a technique that proposes the collaboration of all members in the supply chain for the purpose of process comparison and performance analysis. Institutions at the trade channel level can play a valuable and neutral role in benchmarking. Any valid performance model, within a logistics and supply chain management context, should integrate different measures of internal activities and link them to measurement activities of other entities in the supply chain.Towards a logistics and supply chain approach for portsFrom the above discussion, it appears that there may be a methodological difficulty in linking supply chain performance measurements to ports. Traditional port management is often typified by institutional fragmentation and conflict with other members of the logistics channel, whereas the supply chain management philosophy advocates process integration and partnership. A systemic approach to port performance is required. The systems approach should allow a neutral and objective perception of a problem’s definition and investigation, and particularly helps in overcoming the obstacles of channel identification and conflicting standpoints. However, despite successive attempts to apply the systems approach to operational problems in shipping and ports, very few would claim to apply the concept of systems thinking to the whole port organization.MethodologyAction researchThe methodology adopted for this study works within the action research paradigm. Action research is a process suitable where change is the main research subject, and the researcher participates in the change process. It requires a close relationship and collaboration between practitioners and researchers, made possible in the research described in this paper when one of the authors undertook a short-term appointment with the World Bank. Action research is most suitable for technique development or theory building, but isless suitable for hypothesis testing. Its advantage over traditional survey approaches is that the latter tend to be past-oriented or ‘snapshots’, whereas action research is a forward-looking process with implications beyond the immediate project. Action research is undertaken by using an appropriate intervention technique analogous to experimentation. The technique used in this approach is to present port managers and other experts with a model of port performance for examination and assessment by them, leading to an improved model. This technique is supported by a questionnaire of port managers focusing on performance indicators.Exploratory investigation into feasibility of port performance model As an exploratory investigation, individuals with different types of expertise related to ports were approached to comment on the relevance and feasibility of the proposed model, shown in figure 3 with covering notes (see appendix). The participants consisted of three panels of experts, namely:Analysis and resultsQuestionnaire responses and analysisThe questionnaire investigated current techniques of port performance measurement. The 45 respondent ports confirmed the regular use of combined indicators for both internal and external performance evaluation. As shown in table 2, financial measures are the most commonly used, closely followed by throughput measures for internal performance, whereas productivity and economic-impact indicators become more prominent for external comparison with other ports.Most ports were not satisfied with the current indicators (see table 3).However, when asked about logistics techniques for performance measurement and management over half of the ports replied that they use them very seldom or never (see table 4).Although responses may reflect a lack of interest in logistics operations and management, an alternative explanation may be the difficulty in understanding or applying logistics concepts and measurement techniques.Comments by expert panels on model validityFigure 3 and the appendix present a model applying logistics and supply chainmanagement concepts to port performance measurement. The model was sent to and discussed with different participants to assess its validity and feasibility within the context of port operations and management. Responses varied in many aspects, although all considered the model valid as a ‘first initiative’that looks at port efficiency from the perspective of logistics and supply chain management. The following sections present and analyse the responses by each of the three expert panels.ConclusionsThe research aims at conceptualizing the port system from the perspective of logistics and supply chain management, and suggesting a valid framework of efficiency measurement capable of reflecting the logistics scope of port operations and complementing, if not replacing, the conventional methods for port performance measurement and management biased towards sea access. By adopting a structured approach and methodology and involving a range of interest groups, the authors tried to ensure a valid and reliable inquiry given the time and cost constraints.The results show a common interest in logistics and supply chain management concepts across the various panels of experts. Respondents from the port group showed a lack of familiarity with logistics and supply chain management concepts, especially those related to logistics integration, benchmarking and channel design, although there is common recognition of ports as key logistics and distribution centres.译文:用港口物流及供应链管理方法来评价港口绩效Khalid Bichou and Richard Gray摘要尽管港口作为物流中心潜在能力已被广泛的认同,但还没有一个被大家广泛接受的性能测量标准出现。

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