The Customer Requirements Analysis Method of Engineering Products Based on Multiple Preference Information

To effectively evaluate the fuzziness of the market environment in product planning,a customer requirements analysis method based on multiple preference information is proposed.Firstly,decision-makers use a preferred information form to evaluate the importance of each customer requirement.Secondly,a transfer function is employed to unify various forms of preference information into a fuzzy complementary judgment matrix.The ranking vector is then calculated using row and normalization methods,and the initial importance of customer requirements is obtained by aggregating the weights of decision members.Finally,the correction coefficients of initial importance and each demand are synthesized,and the importance of customer requirements is determined through normalization.The development example of the PE jaw crusher demonstrates the effectiveness and feasibility of the proposed method.

Respecting Each Other and Being Loyal to ZTE Career Providing Refined Service and Focusing on Customers' Requirements Working Hard to Create Famous ZTE Brand Improving ZTE Efficiency with Scientific Management

ZTE Corporation is China’s largest listedtelecommunications equipment provider spe-cialized in offering a full range of tailor-madesolutions for customers in high-,middle-andlow-end markets.

Applying CBR to Machine Tool Product Configuration Design Oriented to Customer Requirements

Product customization is a trend in the current market-oriented manufacturing environment. However, deduction from customer requirements to design results and evaluation of design alternatives are still heavily reliant on the designer＇s experience and knowledge. To solve the problem of fuzziness and uncertainty of customer requirements in product configuration, an analysis method based on the grey rough model is presented. The customer requirements can be converted into technical characteristics effectively. In addition, an optimization decision model for product planning is established to help the enterprises select the key technical characteristics under the constraints of cost and time to serve the customer to maximal satisfaction. A new case retrieval approach that combines the self-organizing map and fuzzy similarity priority ratio method is proposed in case-based design. The self-organizing map can reduce the retrieval range and increase the retrieval efficiency, and the fuzzy similarity priority ratio method can evaluate the similarity of cases comprehensively. To ensure that the final case has the based on grey correlation analysis is proposed to evaluate similar cases best overall performance, an evaluation method of similar cases to select the most suitable case. Furthermore, a computer-aided system is developed using MATLAB GUI to assist the product configuration design. The actual example and result on an ETC series machine tool product show that the proposed method is effective, rapid and accurate in the process of product configuration. The proposed methodology provides a detailed instruction for the product configuration design oriented to customer requirements.

Hybrid customer requirements rating method for customer-oriented product design using QFD

Quality function deployment （QFD） is a well-known customer-oriented product design methodology. Rating the final importance of customer requirements （CRs） is really a very es- sential starting point in the implementation of QFD, since it largely affects the target setting value of design requirements. This pa- per aims to propose a novel method to deal with the relative importance ratings （RIRs） of CRs problem considering customers＇ diversified requirements and unknown information on customers＇ weights, which is an indispensable process for determining the final importance ratings of CRs. First, a new concept of customer＇s assessment structure is proposed according to the basic idea of grey relational analysis （GRA）, and then a constrained nonlinear optimization model is constructed to describe the assessment information aggregation factors of CRs considering customers＇ personalized and diversified requirements. Furthermore, an im- mune particle swarm optimization （IPSO） algorithm is designed to solve the model, and the weight vector of customers is obtained. Finally, a car door design example is introduced to illustrate the novel hybrid GRA-IPSO method＇s potential application in deter- mining the RIRs of CRs.

Customer Requirements Mapping Method Based on Association Rule Mining for Mass Customization

Customer requirements analysis is the key step for product variety design of mass customiza-tion(MC). Quality function deployment (QFD) is a widely used management technique for understanding the voice of the customer (VOC), however, QFD depends heavily on human subject judgment during extracting customer requirements and determination of the importance weights of customer requirements. QFD pro-cess and related problems are so complicated that it is not easily used. In this paper, based on a general data structure of product family, generic bill of material (GBOM), association rules analysis was introduced to construct the classification mechanism between customer requirements and product architecture. The new method can map customer requirements to the items of product family architecture respectively, accomplish the mapping process from customer domain to physical domain directly, and decrease mutual process between customer and designer, improve the product design quality, and thus furthest satisfy customer needs. Finally, an example of customer requirements mapping of the elevator cabin was used to illustrate the proposed method.

Omni-Channel Retailing and Firm Performance from a Customer Lifetime Value Perspective

In the digital era,retailers are keen to find out whether omni-channel retailing helps improve long-term firm performance.In this paper,we employ machine learning techniques on a large consumption data set in order to measure customer lifetime value(CLV)as the basis for determining long-term firm performance,and we provide an empirical analysis of the relationship between omni-channel retailing and CLV.The results suggest that omni-channel retailing may effectively enhance CLV.Further analysis reveals that this process is influenced by heterogeneous consumer requirements and that significant differences exist in the extent to which the omni-channel transition may influence CLV depending on consumer preferences for diversity of commodities,sensitivity to the cost of contract performance,and sensitivity to warehousing costs.Hence,retailers should provide consumers with a complete portfolio of goods and services based on target consumers’heterogeneous requirements in order to increase omni-channel efficiency.

The Impact of Companies’Size on E-Commerce Transaction Requirements:Case Study of Algerian Import Companies

The purpose of this paper is to investigate the impact of companies’size on e-commerce transaction requirements,by examining both companies’components and companies’partners and their relation with company’s size.The paper is based on the analysis of 70 Algerian import companies through survey methodology.The findings indicate that large-sized companies respond strongly to all e-commerce transaction requirements,especially in the three companies’components;medium-and small-sized companies response to these requirements is less than large-sized companies.As a conclusion,companies’size often reacts to the e-commerce transaction requirements.

A Method for Service-Oriented Personalized Requirements Analysis

The development of Web service has changed the process of software production, and requirements engineering becomes the key issue of service-oriented software engineering. Meantime, it reduces the degree of difficulty of software production, which facilitates end-users to customize software according to their personalized requirements. The paper proposes a method for service-oriented personalized requirements analysis, which is based on domain goal model and process model. The method can inform users of potential errors in requirements by detecting the correctness of requirements, which is driven by users’ personalized operations on goal models, and customize personalized processes to satisfy users’ requirements by reusing domain processes. The personalized processes are the basis for Web service discovery and composition.

REQUIREMENT PRODUCT CONFIGURATION IN MASS CUSTOMIZATION

On the basis of researching on requirement product configuration in mass customization, the concept of product family requirement class （PFRC） and requirement-matching template are put forward. A case-based requirement product configuration （CB-RPC） model and corresponding requirement product model are established. The result of requirement product configuration is obtained by using the method of two-level similar matching. In addition, the effect of the method on requirement responding is analyzed. Finally, the model and the method given are applied in elevator industry, and have improved the enterorise＇s ability of rapid responding to customer＇s reouirements.

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.

CHINESE CUSTOMS TO IMPOSE EXPERIMENTAL SPECIFIC AND COMPOUND IMPORT DUTIES

By a State Council decision, effective on July 1, Chinais to impose specific duties on three import commodities including beer, and compound duties on two otherimport commodities including video player on an trial basis. As this is an unprecedented experiment in China, Office of the Customs Tariff Commission under the StateCouncil, and the Customs Tariff Department of the GeneralAdministration of Customs are carrying out public consultation on these trial policies. In order to give the public abetter idea concepts, characteristics and purposes of specific and compound duties, our reporter visited the officerin charge at Guangzhou Customs.

服装个性化定制中信息技术的应用与展望

随着人们个性化需求的不断增加,服装个性化定制已成为时尚发展趋势之一。信息技术在推动服装个性化定制发展中扮演着重要的角色,可以收集和处理用户的个性化信息,并将其转化为具体的设计和生产方案。文章首先对服装产业信息技术的研究进展进行总结,阐述新一代信息技术在服装产业的应用情况;其次分析了信息技术在服装个性化定制领域的应用现状,按照定制流程分别总结信息技术在提高生产效率、降低成本和满足用户需求方面的优势及不足;最后根据目前服装个性化定制在数据共享、协同设计和柔性生产等方面的需求,从建模技术和系统平台构建两个方面对服装个性化定制发展进行展望。

产品服务系统设计中顾客需求重要度确定方法研究

为了准确地反映产品服务系统设计中的顾客需求,文章基于手段-目的链理论从顾客期望角度获取顾客需求,提出了云模型、模糊DEMATEL和改进的分析型Kano模型相结合的方法确定顾客需求重要度。利用云模型解决专家评价模糊不确定问题,确定顾客需求初始重要度。考虑到顾客需求间的有向影响关系,引入模糊DEMATEL方法,对顾客需求初始重要度进行修正。基于贴近度的顾客需求分类准则,构建了改进的分析型Kano模型,引入基于顾客满意度的顾客需求重要度指数和满意度指数,确定顾客需求最终重要度。以某数控机床产品服务系统设计为例,验证了所提模型的可行性和有效性。

一种基于客户需求挖掘的产品定制化方法与实例研究

大规模个性化定制是面向客户个性化需求的定制生产模式,代表了现代生产的发展方向。为了适应大规模个性化定制的发展要求,本文提出了一种基于客户需求挖掘的产品定制化方法。该方法以情感分析为手段,以评论数据为驱动,通过基于产品—竞品比较的产品定制化特征挖掘实现客户需求挖掘;基于产品族架构对产品进行定制化改进,采用遗传算法对评论挖掘得到的待优化特征加以优化求解。文中开展了与所提出方法对应的案例研究,以某国产全自动洗衣机为例,将本文方法用于产品的定制化改进,通过对改进过程的各环节的展示,验证了所提出方法的有效性,可为大规模个性化定制生产模式的实现提供技术层面的支持。

基于FSRce模型的机电产品绿色概念设计方案生成方法

针对部分机电产品在概念设计阶段未综合考虑客户和环境的需求,进而影响产品详细设计的问题,提出了一种基于功能—结构—客户和环境需求(function‒structure‒requirements of customer and environment,FSRce)模型的机电产品绿色概念设计方案生成方法。首先,从案例库中选择合适的功能和结构对现有产品设计树中的节点进行扩展和关联;同时通过数据挖掘、专家打分等方法获得产品的客户和环境需求重要度,以构建基于FSRce模型的产品概念设计空间。然后,先利用加权区间粗糙数法对客户和环境需求重要度进行分析,得到需求相对重要度,再运用模糊质量功能展开(fuzzy quality function deployment,FQFD)将需求相对重要度转化为产品的工程特性权重。最后,利用物元理论构建基于工程特性的产品物元域和各结构物元集,并结合工程特性权重得到各结构的满意度分值,通过比较满意度优选得到满足客户和环境需求的产品概念设计方案。以某小型工业吹风机为例,基于上述方法对其概念设计方案进行优化。相比于原始方案,优化后的吹风机在能源消耗上降低了15.38%,在碳排放上降低了15.32%,且客户满意度提高了44.66%,由此验证了所提出方法的可行性与有效性。所提出的方法为机电产品概念设计方案的生成提供了一种新思路,能更好地辅助设计人员实现对机电产品的绿色设计。

物流服务质量对顾客重复购买意愿影响研究——以跨境进口电商平台为例

随着跨境进口电商平台越来越受到众多年轻消费者的青睐,消费者对于跨境购物体验的要求也在不断提高,从保证商品完好性的基本要求,转变到快速、便捷地获得商品,涉及了流服务质量的安全性、灵活性、时效性和移情性等。以跨境进口电商平台为研究视角,构建了物流服务质量与顾客重复购买意愿关系的研究模型和假设。利用SPSS26.0软件进行Pearson相关分析法和多元回归分析法对研究假设进行验证,结果显示:物流服务质量四个维度显著正向影响顾客重复购买意愿;安全性、灵活性和时效性显著正向影响顾客满意度;顾客满意度发挥了部分中介的效应。

基于重要性—绩效的公共交通服务质量满意度分析

基于顾客满意度模型,挖掘政府购买服务背景下的公交满意度影响机理,从硬件(产品满意度)和软件(服务满意度)两维度构建公共交通满意评价体系;其次,利用结构方程模型确定各公交服务属性在预测整体满意度方面的重要性,采用重要性—绩效分析方法确定公共交通满意度指标的改善优先级;最后,以北京某区为例进行实证。结果显示,公共交通软件(服务满意度)的相对重要性高于硬件(产品满意度),采用重要性-绩效分析方法识别公共交通满意度属性的改善优先级,制定并实施改进策略后,满意度提升9.9%。研究为政府购买服务背景下的公共交通服务水平提升、政策建议和策略制定提供理论支撑。

螺旋CT原木虫害在线检测系统设计

进境原木是一种高风险产品,其内部携带有害生物的可能性大,容易对我国本土生态环境产生恶劣影响。随着我国原木进口需求的迅速增长,进境原木的检验检疫工作难度陡增,原木产品通关效率和检疫能力之间的矛盾日益凸显。满洲里铁路口岸作为中国最大的延边陆路口岸,存在大量原木产品通关检疫的现实需求。然而进境原木的体积大、数量多,且虫害多发生于原木内部,现有手段无法高效、准确地对其虫害情况进行检测。本文综合调研了国内外原木虫害检测手段,设计了基于CT成像技术的原木虫害检测系统,能够有效提升原木虫害检测效率,压缩整体通关时长,具有较大的工业推广应用价值。

高质量发展中民营经济赋能共同富裕的内在机理与现实进路

民营经济是社会主义市场经济的重要组成部分,在高质量发展要求下,发挥着赋能共同富裕的重要价值。民营经济以生产力与生产关系的辩证关系为依托,勘定共同富裕的现实意蕴;以物质财富与精神财富的积聚为根基,夯实共同富裕的多维基础;以市场逻辑与社会逻辑的统合为前提,增进共同富裕的内生动力。文章在探究其内在机理的基础上,以习近平关于民营经济发展重要论述为理论原点,基于高质量发展现实背景,分析了民营经济赋能共同富裕存在着理念认同、环境保障,以及自身能力的不足,进而提出了从价值感召、场景集成、转型升级入手探寻现实进路,以提升民营经济赋能共同富裕的实际效能。