以港航企业为例探讨企业重构

一、企业重组内容及案例分析 1．业务重组 业务重组，是指按照企业的长期战略而对企业业务活动范围进行的调整、平衡，通过一系列兼并、剥离和分立等，构造企业新的业务组合，以缩减业务范围为特征，并同时伴随着组织紧缩的企业活动。通过重组，     

港口生产与基建机构重组及其会计合并

港口生产与基建机构重组及其会计合并李宗福近几年在国有企业搞活上，许多经济学家在企业甩掉包袱，寻找新的经济增长点方面，进行了大量的探讨，他们不约而同地提出了企业优化重组这个课题。企业重组是指企业间通过产权流动、变化带来的企业组织形式的调整，它包括企业组...     

中国铁路运输企业集团重组进程中的企业金融问题探讨

中国铁路运输企业集团重组进程中的企业金融问题探讨谷鸿溪，张建伟一、问题的提出关于中国国有企业的改革与重组问题，一些学者提出：要以专业银行的改革带动企业的改革和重组。具体包括三个方案，一是分散化的，由银行牵头的改革；二是集中式的，由中央政府牵头进行企业...     

关于民航企业文化建设的思考

民航企业重组，不仅仅是物理意义上量的叠加，要真正把重组后的企业做大做强，无论是当前的整合还是未来的发展，建设富有个性特色的企业文化是必不可少的先决条件。     

"网运分离"与铁路企业经营管理效率的提高

铁路企业的重组“网运分离”，使铁路实现政企分开，为铁路企业效率的提高提供了保证和可能，重组工作的有序进行，将使企业产权关系明晰、成本下降，企业组织结构向扁平化发展，加快内部信息传递，使铁路企业的经营效率，管理效率都将得到提高。     

国家邮政局审议通过《关于快递企业兼并重组的指导意见》

5月24日，国家邮政局局长马军胜主持召开局长办公会，讨论并原则通过《关于快递企业兼并重组的指导意见》，提出以“市场化、产业化、现代化”为方向，鼓励指导快递企业通过兼并重组建立健全现代企业制度，加快转型升级，进一步做强做大。马军胜强调，推动快递企业兼并重组的最终目的，是优化产业布局，转变发展方式，提高发展质量，促进快递产业转型升级和跨越发展。政府部门要加强对快递企业兼并重组的服务和指导。完善企业诚信体系、服务体系的建设，做好用户满意度调查、消费者申诉率调查禾口时限测评，     

企业重组的生命线

为适应民航大集团重组的需要，2001年西南航空公司决定将原飞机维修厂与原西南航飞机维修公司实施内部重组，成立中国西南航空飞机维修基地。当年4月1日，重组工作正式启动。在重组工作中，基地领导始终将思想政治工作与企业的中心工作紧密结合，确保了安全生产和重组工作的顺利进行。     

我国企业重组动机分析在向市场经济转轨时期

企业重组是指对企业的生产力诸要素进行分拆、整合以及内部优化组合的过程。企业资产重组必须能促使企业资产得以合理、充分、有效使用甚至使闲置的资产利用起来。广义的企业重组主要包括业务重组、资产重组、债务重组、股权重组、职员重组和管理制度重组;狭义的企业重组是指企业的资产重组,包括企业并购、企业内外部资源组合。 从目前我国企业资产重组的情况看,由于处于转轨时期的特点,我国企业重组有着其特有的动机,本文着重分析企业内外资源重组动因。     

南航企业文化整合深化发展的定位思考

重组后的南航一直把“大南航、大三角”文化的融合和再造，作为打造“南方航空”品牌、打造企业优势的先行抓手，以文化整合拉动企业进步，以南航发展培育自己的企业文化，并日渐形成特色和规模，在竞争发展中发挥着重要作用。还应看到，成型、完善的企业文化是成熟企业的明显标志。毋庸置疑，重组后的南航企业文化走向成熟还需要更长时间和进一步深化，特别是当前正处在关键的转型期，更需要用不断完善的企业文化加大内力。[第一段]     

要览

<正>中交集团旗下6家设计院合并重组上市近日，中国交通建设股份有限公司发布公告称，公司董事会审议通过了中国交建分拆下属公司重组上市的议案。这标志着中国交通建设集团有限公司旗下6家子公司的重组上市实现了突破性进展，A股市场最大设计院将有望诞生。此次重组上市的6家标的公司都是中交集团旗下具有较强经营实力的企业，核心业务多年来一直处于行业领先地位。据悉，     

Opportunities to improve container barge handling in the port of Rotterdam from a transport network perspective

This paper presents and evaluates an opportunity to improve the competitiveness of container barge transport in the hinterland of Rotterdam through a reorganization of container barge services. This reorganization improves the handling of barges in the port and consists of splitting existing services into a trunk line operation in the hinterland and collection/distribution operations in the seaport. A marginal cost model is used to demonstrate the potential net benefits of these revised services. The main conclusion is that these split services can improve the competitiveness of barge hinterland transport, but the effectiveness depends on several conditions. These conditions are first of all related to the design and organization of collection and distribution transport, but also to the characteristics of the trunk line operation in the hinterland.     

聚类模糊分析在编组站分类中的应用

为研究编组站分类问题，运用模糊c-划分方法对编组站进行合理的空间划分，在此基础上采用模糊聚类ISODATA方法对编组站进行聚类分析，并利用划分系数和划分的平均模糊熵对聚类效果进行评价，通过实例分析，证明模糊聚类分析方法在编组站分类中的有效性，为编组站分类问题的量化提供了新的方法。     

Random and fuzzy utility models for road route choice

The objective of this work is the specification, calibration and validation of a route choice model distinguishing the phases of set perception and route choice among the alternatives belonging to the chosen set. Route generation is performed with a selective multi-criteria approach; route choice is performed using random and fuzzy utility models. As regards the fuzzy utility models, a new specification of a fuzzy model is introduced. Random and fuzzy utility models are compared and applied on a test road network and were specified and calibrated for national road freight transport on a real Italy-wide network.     

A fully fuzzy network DEA-Range Adjusted Measure model for evaluating airlines efficiency: A case of Iran

Due to the competition among companies, evaluating the performance is one of the most important issues for managers. Data Envelopment Analysis (DEA) - Range Adjusted Measure model (RAM) is one of the non-radial models to evaluate the performance of companies. This paper presents a fully fuzzy network DEA-RAM model for evaluating airlines and extends the network DEA-RAM model in the fully fuzzy framework. First, a network structure is designed for airlines and then, a DEA-RAM model is presented for calculating efficiency scores. To handle uncertainty in data, fully fuzzy approach is considered and finally, a multi-objective network model is proposed to calculate airlines’ efficiencies. To solve the proposed fully fuzzy DEA-RAM model, the lexicographic approach is used and the efficiency scores are reported as interval numbers. To illustrate the capability of the proposed fully fuzzy DEA-RAM model, the actual data of 14 Iranian airlines are gathered and the interval efficiencies of airlines are evaluated.     

Establishment and application of fuzzy decision rules: an empirical case of the air passenger market in Taiwan

This paper develops a framework for creating fuzzy decision rules by socio‐economic variables, transactional record variables and customer benefit variables. Fuzzy decision rules may be applied on marketing systems of businesses. This research uses fuzzy k‐means algorithm and C4.5 decision tree algorithm to generate fuzzy decision rules. The framework is applied on the air passenger market of Taiwan for an empirical case study. Results of this research found two non‐fuzzy (crisp) decision rules and two fuzzy decision rules, which can be applied on the customer relationship management systems of airlines. Copyright © 2010 John Wiley & Sons, Ltd.     

模糊神经网络非线性组合预测在铁路货运量预测中的应用

准确的铁路货运量预测关系到铁路运输的发展,为此提出模糊神经网络非线性组合预测模型,应用三次指数预测模型、灰色理论预测模型、多元回归预测模型的预测值作为模糊神经网络的测试样本数据库,输出样本为铁路货运量,并采用全局优化的粒子群算法优化模糊神经网络的参数。仿真结果表明该模型能够取得比单项预测模型更高的精度。     

多因素模糊决策在集装箱中心站选址中的应用

对铁路集装箱中心站的站址选择,提出基于变权法的多因素Fuzzy决策。在论述变权法及多因素模糊决策原理的基础上,给出了基于变权的模糊决策方法,并以兰州枢纽地区为例,对集装箱中心站选址的选择确定,进行了实例计算,分析了变权综合值和常权综合值的影响因素。     

Vehicle routing optimization with soft time windows in a fuzzy random environment

This paper is concerned with a vehicle routing problem with soft time windows (VRPSTW) in a fuzzy random environment. Two objectives are considered: (1) minimize the total travel cost and (2) maximize the average satisfaction level of all customers. After setting up the model for the VRPSTW in a fuzzy random environment, the fuzzy random expected value concept is used to deal with the constraints and its equivalent crisp model is derived. The global–local–neighbor particle swarm optimization with exchangeable particles (GLNPSO-ep) is employed to solve the equivalent crisp model. A case study is also presented to illustrate the effectiveness of the proposed approach.     

A non-additive multiple criteria analysis method for evaluation of airline service quality

Subjective preferences with interactive property are often involved in the evaluation of airline service quality. It may not be possible, however, to correctly evaluate service quality using conventional additive measures. The fuzzy measure, which is a non-additive measure, is more suitable for this situation. Given the presence of arduousness in current fuzzy measure identification and in the calculation of the comprehensive performance values of alternatives in terms of the Choquet integral, this paper proposes the λ_k fuzzy measure and introduces Marichal entropy of the λ_k fuzzy measure to reach a solution. This paper also presents the aggregator Choquet integral with respect to the λ_k fuzzy measure. To verify the method's effectiveness, an application study of the comprehensive performance of 15 US airlines was conducted, using data collected over a 10-year period. Our results show that the proposed method is a suitable multi-criteria analysis method, which can be used to evaluate the performance of airline service quality when man–made interaction phenomena are not existent.     

An integrated SWOT based fuzzy AHP and fuzzy MARCOS methodology for digital transformation strategy analysis in airline industry

Driven by business strategies, digital transformation (DT) facilitates dramatic change in air passenger behavior. This study aims to determine and analyze different DT strategies (DTSs) with the help of an integrated SWOT-based fuzzy AHP-MARCOS methodology that is proposed for the first time in the literature for this purpose. This methodology is validated with a case study concerning the airline industry in Turkey. The weights of the SWOT factors are determined with the fuzzy AHP method. The fuzzy MARCOS approach is used to select the most suitable DTS. The most appropriate strategy is obtained as “focusing on differentiated digital customer experience and service quality by the adaptation of business models to DT to provide benefits”.