Analytic Hierarchy Process in Service of Customized Offer in Banking： Savings and Investment

Today＇s banking institutions spread their product and service line on a daily basis. This effort to increase competitiveness is also creating an overstocked supply for existing and new clients. Not every product is meant for every client and aggressive sales strategies tend to repel clients which can cause serious problems in long-term client-bank relations. This paper will analyze savings and investments products along with their adaptation and modulation regarding client needs. Accordingly, banks will be able to offer particular products to clients with specific needs and wishes. The analytic hierarchy process, or simply AHP method, represents a process which will be able to transform client＇s demands and affinities into a customized offer. It is an easy-to-implement method used in any step of the decision-making process; the process must have multiple alternatives and each of them carries specific characteristics. The decision maker ranks all the characteristics and simultaneously all the alternatives, according to his affinities forming a final decision. This paper will explain how banks will be able to adapt to client needs and wishes in the future using the AHP method.

Providing Customized Security Based on Network Function Composition and Reconfiguration

Real-time multimedia sharing in Consumer-centric Multimedia Network(CMN) requires usability anywhere, anytime and from any device. However, CMNs are usually located or implemented on application layer, which makes CMNs subjected to their fixed substrate security framework. A fundamental diversifying attribute for the customized security experiences of CMNs is pressing. This paper proposes a programmable network structure which is named Service Processing Chain(SPC) based on network function combination. The SPC is established by the ordinal combination of network functions in substrate switches dynamically, and therefore constructs a special channel for each CMN with required security. The construction and reconfiguration algorithms of SPC are also discussed in this paper. Evaluations and implementation show that above approaches are effective in providing multilevel security with flexibility and expansibility. It is believed that the SPC could provide customized security service and drive participative real-time multimedia sharing for CMNs.

Grey Incidence Analysis Applied to Civil Aircraft Customization Process

The airlines need to select the optional equipment according to their individual development demands and the manufacture′s standard specification manual when purchasing a new airplane.For this customization process,the selection theory is mainly based on qualitative analysis and quantitative analysis.The grey incidence analysis(GIA)is used for modeling,which evaluates the correlations between optional equipment and airlines′individual demands.Meanwhile,the customization demands are quantitatively processed as different weights in evaluation index system with analytical hierarchy process.Then,the value of grey incidence degree is obtained which shows whether the optional equipment is on the purchasing list or not.Finally,two airlines′customization demands are applied in the example of aircraft cabin′s seats,so two different purchasing priorities and equipment installation lists can be obtained.The results and comparisons verify the reasonable of modeling,which provides an objective scheme of aircraft equipment selection.

Multi-objective quality control method for cold-rolled products oriented to customized requirements

To deal with the increasing demand for low-volume customization of the mechanical properties of cold-rolled products, a two-way control method based on mechanical property prediction and process parameter optimization(PPO) has become an effective solution. Aiming at the multi-objective quality control problem of a company's cold-rolled products, based on industrial production data, we proposed a process parameter design and optimization method that combined multi-objective quality prediction and PPO. This method used the multi-output support vector regression(MSVR) method to simultaneously predict multiple quality indices. The MSVR prediction model was used as the effect verification model of the PPO results. It performed multi-process parameter collaborative design and realized the optimization of production process parameters for customized multi-objective quality requirements. The experimental results showed that, compared with the traditional single-objective quality prediction model based on support vector regression(SVR), the multi-objective prediction model could better take into account the coupling effect between process parameters and quality index, the MSVR model prediction accuracy was higher than that of the SVR, and the optimized process parameters were more capable and reflected the influence of metallurgical mechanism on the quality index,which were more in line with actual production process requirements.

Study on customization process and application via Internet

Networked customization is an important way for enterprises to satisfy customers?individual requirements. From this point of view, the study on networked customization process and application is started with analyzing the customization process in detail, in which the customization process is divided into 6 stages including information capture, need submission, need affirmation, need interaction, creating customization orders and customization production. A general customization process chart for common products is presented, which describes the communication between customers and enterprises in the entire customization process. The method of analyzing customization process is presented. The product customization subsystem in the system of ceramic product marketing and customization of Chongqing CHN & CHN Ceramics Co. Ltd. is introduced to explicate the process of customization via Internet.

Application of Markov decision process in customer behaviour

Customer is the source of business income,a stable customer base is the guarantee of enterprise survival and development of enterprises by using Markov decision process,decision-makers in the new decision point in time,to the latest state of observation system and adopt an original decision,decided in a well-posed option set an action sequence,and then choose to create value and total revenue in this sequence the most significant behavior,obtain the best marketing strategy,formulate relevant enterprise actual customer,dynamic programming model.

Formalization of Rules for the Cooperation between Goal and Process

To meet the end-user's dynamically changed requirements for software and achieve the on-demand changes of operational process in time, based on the Goal model and the Process model, the user's personalized operations of the related work were simplified and integrated, and rules for the cooperation between Goal and Process which fit for software engineers were proposed and formalized. The user's personalized operations of the related work were analyzed to conclude the pattern of Goal modification. By the direct drive of Goal modification, the corresponding changes of Process were induced and specified. Then rules for the cooperation between Goal and Process were concluded and the formalization was achieved in Semantic Web Rule Language (SWRL). In this paper, reasoning support was provided for the model modification based on ontology and the dynamic evolution of Process model.

Aspect-Based Sentiment Analysis for Polarity Estimation of Customer Reviews on Twitter

Most consumers read online reviews written by different users before making purchase decisions,where each opinion expresses some sentiment.Therefore,sentiment analysis is currently a hot topic of research.In particular,aspect-based sentiment analysis concerns the exploration of emotions,opinions and facts that are expressed by people,usually in the form of polarity.It is crucial to consider polarity calculations and not simply categorize reviews as positive,negative,or neutral.Currently,the available lexicon-based method accuracy is affected by limited coverage.Several of the available polarity estimation techniques are too general and may not reect the aspect/topic in question if reviews contain a wide range of information about different topics.This paper presents a model for the polarity estimation of customer reviews using aspect-based sentiment analysis(ABSA-PER).ABSA-PER has three major phases:data preprocessing,aspect co-occurrence calculation(CAC)and polarity estimation.A multi-domain sentiment dataset,Twitter dataset,and trust pilot forum dataset(developed by us by dened judgement rules)are used to verify ABSA-PER.Experimental outcomes show that ABSA-PER achieves better accuracy,i.e.,85.7%accuracy for aspect extraction and 86.5%accuracy in terms of polarity estimation,than that of the baseline methods.

Innovative Product Design Based on Customer Requirement Weight Calculation Model

In the processes of product innovation and design, it is important for the designers to find and capture customer＇s focus through customer requirement weight calculation and ranking. Based on the fuzzy set theory and Euclidean space distance, this paper puts forward a method for customer requirement weight calculation called Euclidean space distances weighting ranking method. This method is used in the fuzzy analytic hierarchy process that satisfies the additive consistent fuzzy matrix. A model for the weight calculation steps is constructed; meanwhile, a product innovation design module on the basis of the customer requirement weight calculation model is developed. Finally, combined with the instance of titanium sponge production, the customer requirement weight calculation model is validated. By the innovation design module, the structure of the titanium sponge reactor has been improved and made innovative.

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）.

挑战与前景:ChatGPT在图书馆智能客服系统中的效能和应用

智能客服系统在现代图书馆中扮演着重要角色,作为一种基于人工智能的自然语言处理模型,ChatGPT为图书馆智能客服系统的构建和质量提升提供了有力工具。文章旨在探索ChatGPT在图书馆智能客服中的应用场景效能,分析了ChatGPT在上下文理解、模糊查询处理、对抗攻击和多语言支持等方面的应用潜力和方向,并针对该领域面临的挑战提出了相应的解决方案,以为推动图书馆智能客服的创新和发展提供参考思路。

社会信息加工视角下服务型领导对员工顾客导向偏离行为的影响机制研究

以社会信息加工理论为基础,通过构建双中介-双调节模型考察员工顾客导向偏离行为的前因机制,采用多时间点的问卷调查方法,对服务企业477名一线服务员工的调查数据进行分析。研究结果表明:服务型领导正向影响员工顾客导向偏离行为,顾客导向倾向和越轨创新动机在其中发挥中介作用;服务氛围能够强化服务型领导对顾客导向倾向、越轨创新动机的影响,自我决定感能够强化顾客导向倾向、越轨创新动机对员工顾客导向偏离行为的影响;服务氛围和自我决定感二者均调节顾客导向倾向、越轨创新动机在服务型领导与员工顾客导向偏离行为之间的中介效应。

家族涉入管理程度会影响客户稳定度吗?——基于代际传承阶段的调节作用

稳定供应链是家族企业实现可持续发展的重要保障。以2009~2022年中国沪深两市A股家族上市企业为研究对象,从家族涉入管理视角探究对客户稳定度的影响以及代际传承阶段的调节作用。研究发现,家族涉入管理程度提高能够显著改善家族企业的客户稳定度,二代参与管理及两代共同管理能够增强家族涉入管理程度对客户稳定度的积极影响,但二代接收管理对家族涉入管理程度与客户稳定度之间关系不具有显著调节作用。作用机制检验发现,家族涉入管理程度提高通过信任强化和效率赋能进而稳定客户关系。经济后果分析发现,家族涉入管理程度提高带来的客户稳定度提升能够显著改善家族企业长期价值。研究结论对于探究家族涉入管理程度影响客户稳定度的内在机理具有一定参考价值,也有利于家族企业采取有力措施优化高管团队结构,助力家族企业获得稳定客户,改善供应链管理质量,从微观层面助力国内经济的良性循环。

门诊静脉采血自动按压止血器设计研究

针对门诊人工静脉采血现状,从产品设计的角度,探究提高止血质量,优化患者体验的设计途径。采用观察法收集现场及患者信息,通过用户旅程图洞悉患者痛点和需求,使用层次分析法计算各项设计要素的权重。提出能够帮助患者解放双手、正确按压、防止屈肘的止血器设计构想,并完成“自动按压止血器”的概念设计。首先,止血产品应该由患者独立使用,患者的“无意识”屈肘需要作为重要痛点在设计中充分考虑;然后,止血产品应该实现自动按压功能,其止血质量可以根据各项设计要素的权重进行把控。

绿色食品在乡村康养旅游中的重要性研究

随着康养旅游需求的增长,绿色食品作为乡村康养旅游的核心要素,在满足游客康养需求、提升乡村旅游吸引力方面发挥了重要作用。本文对绿色食品的定义与分类进行探讨,并分析其在乡村康养旅游中的重要性和存在的问题,提出构建乡村绿色食品的全流程追溯系统、打造基于康养需求的定制化农产品供应链以及建立绿色食品与乡村旅游的协同品牌营销体系的策略建议。

餐饮老字号顾客满意度评价体系的构建与分析——以无锡市为例

为了对餐饮老字号顾客满意度进行评价,通过问卷调查和专家访谈,选出4个指标层、15个要素层,构建了顾客满意度评价模型。参考美国顾客满意度指数模型,结合餐饮老字号的服务特征,建立了顾客满意度评价体系,并对评价指标进行了定性描述。运用层次分析法计算各指标和要素的权重,并作了一致性检验,完成对评价体系的量化。从各指标在评价体系中所占的权重来看:产品质量是影响顾客满意度的最主要指标,后面依次为服务质量、宣传销售和文化内涵;15个影响要素中,绝对权重由高到低排名前5的依次为菜品口味、菜品卫生健康、服务态度、菜品营养价值和销售渠道。因此,餐饮老字号要提高顾客满意度,首先还是要在菜品质量上下功夫,既要传承经典又要不断创新。此外,还需加强人员培训,提高服务的意识与水平。同时,要积极利用信息化手段加强品牌宣传、提高订餐及支付的效率,综合提升顾客的满意度。

算网融合DPU可定制化能力分层方法

社会数字化转型推动着行业提升“联接+计算”能力,促进网络向算网融合发展。数据处理单元(Data Processing Unit,DPU)是在海量数据高效传输和处理需求下快速发展起来的新技术形态,部署位置处于网络和计算的衔接点,是算网融合的关键技术。文章首先阐述DPU的典型应用场景和方案,其次分析DPU的组成架构和可编程资源,最后提出DPU的可定制化能力分层方法,用于DPU的软硬件资源和可定制化能力细分,有助于用户根据业务需求和研发能力进行产品评估和选型、二次开发和业务优化,有利于DPU在算网融合场景中发挥其灵活和高效的数据处理能力实现算网业深度协同,助力DPU产业生态发展和算网融合技术创新。

基于砂型3D打印技术的壳体低压铸造工艺开发与验证

壳体型腔复杂且壁薄,采用传统工艺不仅造型困难,而且从模具设计到整体铸造工艺开发与验证,所用周期长、效率低,生产成本高。基于砂型3D打印技术快速制样优势,本文对壳体浇注系统采用随形设计方案,实现了型腔、叶片一体化结构成形制造,结合数值仿真计算分析,对浇注工艺进行设计优化,开展了浇注试制与铸件实物检测。结果表明,选用3D打印砂型整体成形工艺可实现复杂结构壳体的短周期、低成本与高精密制造,实现工艺样件的快速制造。

基于蚁群算法的定制化门窗材空极大空间码垛策略研究

目的提高货物装载效率,满足定制化门窗材码垛要求,提高托盘码垛的空间利用率。方法首先根据实际情况构建门窗材码垛的数学模型,然后针对门窗材在码垛托盘内的空间利用率问题,制定空极大空间的码放策略,并采用蚁群算法来寻找门窗材最优的码放位置和摆放姿态,最后与传统经验算法的空间利用率进行对比。结果在相同订单样本量下,文中的蚁群算法相较于传统的经验算法,可将垛型的空间利用率提高8.82%,且所得垛型的高度更低、稳定性更强。结论所提出的数学模型能够为门窗材在线码垛的整体垛型优化提供理论依据。

基于AHP-熵值法的板式定制家具护角设计评价

针对板式定制家具包装内护角进行需求分析,并在此基础上,采用层次分析法(AHP法)及熵值法建立板式定制家具护角设计评价指标体系。确定了护角设计评价指标的综合权重,利用模糊综合评价法建立板式定制家具护角设计评价模型,并对3种典型板式定制家具护角进行了实例研究,实现了护角设计的定量评价。其中的模型与方法对优化板式定制家具护角设计及护角方案决策具有较大的参考价值。