不同海域Custom450高强度不锈钢的腐蚀规律研究

目的 研究Custom450钢在青岛、舟山、厦门及三亚等4个海域大气和飞溅环境中的自然腐蚀规律。方法 采用形貌分析、腐蚀速率、点腐蚀深度分析等方法对Custom450钢在上述4个海域大气和飞溅区的腐蚀规律进行研究。结果 Custom450钢在4个海域大气环境的年平均腐蚀速率相当,且未观察到有点蚀现象发生,舟山海域的年平均腐蚀速率最小,为0.001 41 mm/a,三亚海域的年平均腐蚀速率最大,为0.001 54 mm/a。4个海域飞溅区的年平均腐蚀速率范围为0.0021~0.0028mm/a,舟山海域的年平均腐蚀速率为0.002 1 mm/a,平均及最大点腐蚀深度分别为5.7μm和25.99μm,均低于其他3个海域。结论 Custom450钢在4个海域的大气环境暴露1 a后,未发现明显的腐蚀现象,表明该钢短期内在上述4个海域海洋大气环境中具有良好的耐蚀性。在飞溅环境中的腐蚀速率高于大气环境,且有明显的点腐蚀现象发生,钢中未溶的NbC相会促进点腐蚀现象的发生。

Social Manufacturing for High-end Apparel Customization

Social manufacturing(SM), a novel distributed,collaborative and intelligent manufacturing mode, is proposed and developed for high-end apparel customization. The main components of SM cloud are designed, and its research topics are summarized. Then, SM's key technologies are studied. 3D technologies for apparel customization, like 3D modeling, 3D fitting mirror and 3D customization, are developed to improve the customization precision and user experience. Information based collaborative management is realized to share, communicate,and handle the information efficiently among all groups and individuals of SM cloud. Suppliers' evaluation mechanism is designed to support the optimal decisions making. Next, SM cloud is constructed in five layers for high-end apparel customization.By using SM cloud based crowd-sourcing, social resources can be allocated rationally and utilized efficiently, consumer can customize the product in any processes like innovation, design,making, marketing and service, and traditional apparel enterprise can be upgraded into SM mode for keeping it competitive in the future customization markets.

Linguistic characteristics of English business advertisements targeted on female customers

Advertisement is not only an effective method of promotion, but an elegant act of planning. Successful English advertisements depend on good command and creative application of English words and sentences and smart use of various rhetorical devices. Based on some examples, this paper discusses the linguistic characteristics of English business advertisements targeted on female customers.

CSI-Model-Based Research on Factors Affecting Rate Satisfaction of Government and Corporate CustomersTaking Special-Line Products as an Example

The rate satisfaction of government and corporate customers,to which telecom companies pay special attention,is an important part of the overall satisfaction of the market segment.Focusing on specialline products and based on interview with experts and literature review,this article builds an effect model comprising four factors affecting the major government and corporate customers' satisfaction with the rate,including cost performance,discount degree,rate communication and bill composition.Besides,employing AMOS and other analytical tools,it reveals significant positive effects of the aforementioned four factors on the customer's rate satisfaction,and arranges them in sequence according to the path coefficient of each influence.Based on quantified results,this article proposes management recommendations to improve the rate satisfaction,providing basis for research on the overall rate satisfaction optimization of government and corporate customers.

Research on Value Assessment-Based Accurate Identification of Government and Corporate Customers of Telecom Operators

Aiming at discovering target customers,this article establishes the value assessment system for government& corporate customers according to the level,stability and accessibility of customer value.With 137 customers as samples,it builds the government & corporate customer value assessment system through analytic hierarchy process(AHP) and identifies target government &corpora te customers by indicator optimization,model fitting and cluster analysis.All these achievements help accurate identification of high-value government and corporate customers and optimization of resource allocation for customer service.

O2O Enterprises Should Seize the Needs of Customers

In the fierce market competition,how the survived 020 startups identify the pain points in the domains closely related with people’s daily life in order to look for a way out? When interviewed with China’s Foregin Trade,O2O companies mentioned there are always opportunities in the O2O sector,if you could find the real needs of customers.Focus the target to provide customers what they

Beyond Customer Churn: Generating Personalized Actions to Retain Customers in a Retail Bank by a Recommender System Approach

Customer churn may be a critical issue for banks. The extant literature on statistical and machine learning for customer churn focuses on the problem of correctly predicting that a customer is about to switch bank, while very rarely consid-ers the problem of generating personalized actions to improve the customer retention rate. However, these decisions are at least as critical as the correct identification of customers at risk. The decision of what actions to deliver to what customers is normally left to managers who can only rely upon their knowledge. By looking at the scientific literature on CRM and personalization, this research proposes a number of models which can be used to generate marketing ac-tions, and shows how to integrate them into a model embracing both the analytical prediction of customer churn and the generation of retention actions. The benefits and risks associated with each approach are discussed. The paper also describes a case of application of a predictive model of customer churn in a retail bank where the analysts have also generated a set of personalized actions to retain customers by using one of the approaches presented in the paper, namely by adapting a recommender system approach to the retention problem.

Mining Profitability of Telecommunication Customers Using K-Means Clustering

Data mining is the powerful technique, which can be widely used for discovering the customers’ behaviors as well as customer’s preferences. As a result, it has been widely used in top level companies for evaluating their Customer Relationship Management (CRM) system today. In this study, a new K-means clustering method proposed to evaluate the cluster customers’ profitability in telecommunication industry in Sri Lanka. Furthermore, RFM model mainly used as an input variable for K-means clustering and distortion curve used to identify optimal number of initial clusters. Based on the results, telecommunication customers’ profitability in Sri Lanka mainly categorized into three levels.

Evaluation of the Websites of Logistics Operators by Customers

In this article, the results were presented of research concerning the visual and functional aspects of the websites of three largest logistics operators in Poland. The research was carried out with the participation of the following three groups： institutional customers, individual customers and marketing management students. The article covers an attempt to evaluate cooperation through virtual contacts with the company. The analysis also concerned such issues as information on corporate social responsibility （CSR）, information on job offers and the position of the company on the market.

Scheduling and Outsourcing with Multiple Customers

In this paper, we study a new scheduling and outsourcing model with multiple customers in which jobs can be processed by either in-house machine or outsourcing machine.All processed jobs have to be delivered in batches to their respective customers and each shipment incurs a delivery cost as well as a fixed amount of time. We discuss three commonly used objective functions, analyze their complexity and solve them by dynamic programming algorithms.

Corneal collagen cross-linking in patients with keratoconus from the Dresden protocol to customized solutions:theoretical basis

Keratoconus is an ectatic condition characterized by gradual corneal thinning,corneal protrusion,progressive irregular astigmatism,corneal fibrosis,and visual impairment.The therapeutic options regarding improvement of visual function include glasses or soft contact lenses correction for initial stages,gas-permeable rigid contact lenses,scleral lenses,implantation of intrastromal corneal ring or corneal transplants for most advanced stages.In keratoconus cases showing disease progression corneal collagen crosslinking(CXL)has been proven to be an effective,minimally invasive and safe procedure.CXL consists of a photochemical reaction of corneal collagen by riboflavin stimulation with ultraviolet A radiation,resulting in stromal crosslinks formation.The aim of this review is to carry out an examination of CXL methods based on theoretical basis and mathematical models,from the original Dresden protocol to the most recent developments in the technique,reporting the changes proposed in the last 15y and examining the advantages and disadvantages of the various treatment protocols.Finally,the limits of non-standardized methods and the perspectives offered by a customization of the treatment are highlighted.

Enhancing customers prevention efforts:An incentive feedback mechanism design

To improve the inefficient prevention caused by customers unwillingness to adopt prevention strategies in health management,an incentive feedback mechanism that is based on game theory and contract design theory is introduced.The conditions for making customers and health maintenance organizations(HMOs)willing to participate in the proposed mechanism are given.A dual nonlinear programming model is used to identify the optimal prevention effort of customers and the pricing strategy of HMOs.Results show that to generate increased benefits,HMOs need to consider cost sharing when customers are not familiar with the proposed health services.When health services are gradually accepted,the cost sharing factor can be gradually reduced.Simulation shows that under random circumstances in which the market reaches a certain size,the proposed method exhibits a positive network externality.Motivated by network externality,HMOs only need to make their customers understand that the larger the number of participants,the greater the utility of each person.Such customers may then spontaneously invite others to purchase insurance.

Brand Loyalty in Ruisi English Training School of Customers in Nanning City, China

This study aims to explore:(1)the impact of different customer experience English training satisfaction on the brand awareness and brand loyalty of Nanning Ruisi English Training School,and(2)its implications for Nanning Ruisi English Training School to build a marketing mix for students participating in training.This is a quantitative study.The tool used was a questionnaire.The study sample consisted of 385 Chinese students from Nanning,Guangxi,China,obtained through a multi-stage random sampling technique.The results were analyzed with the help of SPSS software,descriptive statistical analysis,Pearson correlation test,and regression analysis which were used to test hypotheses,and the main purpose of the study was brand loyalty of Ruisi Customer English Training School in Nanning,China.Descriptions of samples and sampling methods are used in the research,and techniques for analyzing data and research instruments are introduced.The results show that significant positive relationships and marketing mix are predictors of customer decisions.Research shows that the English training industry needs to employ marketing mix tools to acquire customers.Promotions are essential in order to reach and attract more younger generation customers.This research is of great significance and practical value to all English training schools in Nanning,Guangxi.

Purchase Analysis Based on the Relationship Between Customers and Service Providers

Although the service industry takes up a large percentage in world economies and is situated in the center of all industries,it has been pointed out that its growth rate is smaller compared to the other industries,which is partly because of its characteristic features:“amorphousness”,“simultaneity”,and“heterogeneity”.Service providers are therefore required to be experienced and have a good business sense to succeed in this field.The aim of this research is to support those who are not experienced or do not have a good business sense,using scientific approach.This research tries to present recommendation,taking customers’value and compatibilities with employees into account,and is based on the assumption that customers and employees have one-to-one contact over a period.A total of 3,447 customers and 133 employees were classified according to their philosophies,needs,and abilities.For each case,customers’purchase histories are first interrelated with the result of questionnaire,and put purchase behavior into marketing using Bayesian network.Then the HUB was examined and extracted features of the data of the questionnaire,and executed the stochastic inference to present the recommendation.This procedure enabled us to extract the features of customers’purchase behavior,and it is turned out that compatibilities of customers and employees are more important than the difference of their values and abilities.

Customers Recognition Level of Logos in Kingdom of Bahrain

This study is conducted to measure customer recognition level of business logos in Kingdom of Bahrain in order to identify the best predictor for logo recognition in a local context.A quantitative approach and combination of descriptive and correlational research design is reflected in this study.Customers in Bahraini market whose age range is between 15 and 50 years were deemed to be research population;to form a representative sample,non-probability sampling technique was applied,specifically combination of convenient and judgmental sampling method.While in deciding the size of the sample,ratio sampling was used;total of 384 customers using confidence level of 95%were the research sample.As for data collection,the researcher used structured interview questionnaire as an instrument to extract the raw data and 16 business logos were presented equally to customers,those logos belong to four distinctive industries in Bahrain:food,medical,beauty services,and fashion.As for the demographic profile,most of customers in the sample were female(54.9%)that belonged to the age range between 18-24 years old(33%)with income range between 301 and 600 BD(41.1%)from Capital Governorate(41.9%);in term of education level most of respondents have bachelor’s degree holder(58.1%).The research concluded with significant findings,one of which was that the relationship profile revealed that all of the demographic variables inserted in the research had significant correlation with the customer’s overall logo recognition and in addition to the other aspects associated with recognition,such as logo scope recognition,logo industry recognition,and company name recognition.Moreover,it has been concluded that the scope of all medical logos in the research was mostly moderately by the customer beside many other findings.

Customers＇ Satisfaction Evaluation on Quality of Food Services Provided by the President Restaurant of the Black Sea Business Center Mangalia

Achieving competitiveness by a company requires the rejection of conservatism and immobility, or its constant adaptation to market conditions and consumer demands. This paper has proposed assessing the quality of food services in the President Restaurant performed by applying Servqual instrument designed on the basis of customer＇s expectations and perceptions on analyzed components. Over 70% of respondents have a favorable perception on the quality of services. However you can see a slight difference between perceptions and expectations regarding the serving speed, waiter＇s professionalism, hygiene of room service and inventory objects, the reason being related to the lack of staff.

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The AHP-Based Assessment of Public Services With Respect to Different Groups of Customers of Polish Local Government

The situation of the contemporary economic systems is based on their ability to ensure optimal response to the customer needs. There are several important groups of clients, who may determine development processes and who are recipients of public services. They include： residents, entrepreneurs, tourists, and State Treasury. Local governments are equipped with a range of legal instruments to provide public services addressed to the selected clients. The objective of this paper is to present the application of the AHP method to assess the significance of the selected categories of public services for different groups of clients in Poland. The results allow setting priorities for future policy and adjust the tasks to the specific expectations of each group of clients. The model of assessment of public services was built using the analytic hierarchy process （AHP）. Since the 1970＇s, this multicriteria decision-support method has been used by researchers and practitioners in many areas of socioeconomic life. The case study presented in this paper involved 14 experts--public administration workers in one of the districts in Southern Poland. The survey consisted of two stages. First, they assessed--using the AHP--the influence of each group of customers on local development processes. The most important was ＂business＂ （priority 38.7%）, followed by ＂tourists＂ （29.7%）, ＂citizens＂ （26.1%）, and ＂central administration＂ （5.5%）. Second, they evaluated at the five-point Liken scale the influence of over 20 different public services with respect to different groups of clients. The results were aggregated using arithmetic mean and multiplied by the priorities of the clients. The synthesized final score indicated the most significant public activities overall, which were ＂roads＂ （4.16）, ＂transport＂ （3.93）, and ＂tourism＂ （3.84）.