开发面向顾客的产品的集成

成功的产品是在顾客需求的基础上开发的。系统考虑顾客要求并将其融入整个开发过程,对新产品的成败至关重要。要达到由顾客驱动这一目标,就要分析顾客的要求是什么,以及他们愿意为之化钱的是什么。新产品应具有什么样的性能和结构,这通过对顾客需求的有效评价可以找到正确的答案。     

开发面向顾客的产品的集成方法

成功的产品是在顾客需求的基础上开发的。系统考虑顾客要求并将其融入整个开发过程，对新产品的成败至关重要。要达到由顾客驱动这一目标，就要分析顾客的要求是什么，以及他们愿意为之化钱的是什么。新产品应具有什么样的性能和结构，这通过对顾客需求的有效评价可以找到正确的答案。     

怎样对商品包装进行重新设计

在包装重新设计前和设计过程中,应当考虑这样几个问题:在什么时间重新设计产品包装?怎样知道要做什么?以及怎么做? 1、在什么时候考虑重新设计包装? 这里有许多时机: (1)你的竞争者刚推出一种采用新包装的类似产品,看上去你的老顾客认为对这种竞争性商标产品值得一试。顾客是易变的,如果他们认为一种产品在某一方面或几个方面更好(如香味、质量或价格等方面),他们就想转向购买这种产品。在这个时候,改变你的老产品图案外貌,使之更充满活力认保持它的顾客优势,以超过竞争对方,是十分适当的。     

从“7.23”事故谈设计开发应注意的问题

在产品的设计开发过程中要充分考虑硬件、软件的充分性、适宜性和匹配性,要充分考虑自身和外包方的设计能力、使用者或顾客的适应性及其匹配性,保证设计开发到实现的全过程的有效控制,降低新产品设计开发风险,充分体现质量管理体系的原则和要求。     

质量管理五大核心工具课程(5天)

培训机构:BSI*APQP:先期产品质量策划与PPAP:生产件批准程序(2天)课程价值使用产品质量策划增加对100%按时满足客户所有要求的能力。便于供方向分包方传达产品质量策划要求。辅助产品质量策划小组,以开发适当的交流形式来满足顾客的要求。将产品质量策划描述成一个周期性过程。以最低成本及时提供高质量的产品。     

柔性价值和柔性成本分析

技术进步步伐的加快和顾客对产品需求的频繁变化，要求企业进行生产系统投资时必须考虑不确定性环境对生产系统提出的柔性化要求。通过对柔性价值和柔性成本的分析，探讨了在生产系统投资决策时，如何选择适当的柔性水平以使生产系统达到整个寿命周期内利润的最大化。     

新时期企业市场营销战略新思维

在实际的企业营销中，必须坚持以顾客和消费者的利益为核心进行的。在市场商品运转的过程中，只有不断更新产品的观念，才能够让市场商品交易更加活跃，让消费需求保持旺盛的生命力。在企业不断发展的过程中，市场营销需要选择适当的方式和适当价格并且提供适当的产品，这样才能够保持供给平衡。本文我们就简单的谈谈企业市场营销战略的创新途径。     

万利机械制造公司:《质量手册》(续)

7 产品实现 7.1 产品实现的策划产品实现是将顾客的要求转化为产品并加以实现最终交付给顾客的整个过程。工厂根据顾客的要求,结合工厂的具体条件,确定产品实现所需的过程,形成的质量管理体系其他要求协调一致的文件。对产品实现策划的结果应确定以下方面的内容: a) 明确产品的质量目标和要求,包括应达到的产品质量特性、质量要求和验收条件,满足顾客的需求和适用的法律、法规、标准要求;     

阐明技术产品要求的一种方法

本文综合了现有的分析与评价方法，发展了一种有效的用于导出现有产品原理方案的技术要求的方法，这些要求可由使用者的需求以及产品的结构来求出。最后，以满足顾客的全部愿望为目标，在设计进行过程中来检验这些要求的重要性。     

如何导出测量设备计量要求

要做好测量设备的计量确认工作,首先要正确识别和导出测量设备的计量要求,而规定的计量要求从产品要求中导出,计量要求的导出需要考虑顾客、组织和法律法规的要求。     

An approach to rule extraction for product service system configuration that considers customer perception

At present, manufacturers tend to bundle a product with its related services as a product service system, to meet customer needs and achieve competitive advantage. Configuring a product service system involves selecting and combining appropriate product and service components, to satisfy individual customer needs. One crucial step to rapidly configure a product service system is to develop formalised configuration rules, which show the relationships between product service components and customer needs, including those expressed as perception needs. In this study, a rough set-based approach is proposed to acquire configuration rules. First, an information table is built by combining the results of factor analysis and questionnaire survey. Then, customer segmentation is accomplished by clustering. Based on the information table and customer segmentation, a dominance-based rough set approach is used to extract the configuration rules. Finally, a weighbridge is selected for the case study to validate the proposed approach.     

基于RIR-MOO的定制产品优化设计方法研究

大规模定制是未来产品制造的发展方向,以低成本快速响应客户的个性化需求是定制产品设计的关键。以往对定制产品设计的研究缺少从个性化需求到产品参数的流程化设计指导方法,无法从定制产品个性化的客户需求出发,快速地关联设计目标并指导产品参数的设计。为此,提出了基于RIR-MOO （relative importance ratings and multi-objective optimization,相对重要性等级-多目标优化）的定制产品优化设计方法,从客户需求出发,将关键需求映射到相关的设计目标,再通过多目标优化（multi-objective optimization,MOO）方法快速求解产品参数,实现定制产品的快速响应和优化设计。首先,针对模糊、动态变化的客户需求,利用加权区间粗糙集分析方法对客户需求进行客观分析,排除争议性大的模糊需求,同时计算不同客户需求的相对权重,得到其相对重要性等级（relative importance ratings,RIR）;然后,提出一种基于转换矩阵的客户需求与设计目标关联的方法,根据关键需求与设计目标的关联度以及关键需求的RIR,对关键需求与设计目标进行匹配,实现关键需求到设计目标的转换;最后,基于MOO方法对设计目标对应的产品参数进行优化设计,实现约束条件下定制产品的多目标优化。以汽车发动机活塞机构优化设计为例,对基于RIR-MOO的优化设计方法的可行性进行验证。结果表明,所提出的方法可以快速响应定制产品的客户需求并指导其优化设计,可为定制化产品制造企业提供指导。     

Attribute selection for product configurator design based on Gini index

Customer needs play a critical role in product design. Matching diversified customer needs with a company’s product offerings has been a challenge for academia and industry. To this end, product configurator systems have been accepted as important tools to elicit customer needs to meet the challenge. However for complex products with many product possibilities and intricate inter-product relationships, current product configuration systems may become tedious and time consuming for customers’ choice navigation process. They cannot adapt to each individual customer’s preferences by leveraging on the attribute specification information captured in previous configuration steps. This paper presents a Gini index-based attribute selection approach for configurator design. Product configuring is modelled as a sequential query–answer process. In each configuring step, the Gini index is deployed to quantify the clarity of the designer’s beliefs about the customer’s needs. The attribute which contributes most to the clarity will be selected for the customer to configure. A product recommendation module is also integrated with the configurator to further improve the efficiency. As a result, designers obtain clarification on the customer’s needs and preferences in an accelerated manner. An example is presented to test the viability of the method.     

Quantification and integration of Kano’s model into QFD for optimising product design

With increasing concerns on customer needs in today’s competitive market, the issue of incorporating customer requirements into product design arises the interest of both researchers and practitioners. Quality Function Deployment (QFD) is a well-known methodology for customer-driven product design. However, conventionally, QFD analysis has a major challenge in understanding customer needs accurately. Kano’s model, which studies the nature of customer needs, provides a way for a better classification of customer needs. However, seldom research contributions are found in terms of integrating Kano’s model with QFD quantitatively. In this research, a novel integration approach is proposed. At first, Kano’s model is quantified by identifying relationship between customer needs and customer satisfaction (CS). Next, both qualitative and quantitative results from Kano’s model are integrated into QFD. Finally, a mixed non-linear integer programming model is formulated to maximise CS under cost and technical constraints. In this research, an illustrative example associated with the design of notebook computers is also presented to demonstrate the availability of the proposed approach.     

基于顾客满意度及模糊计算推理的产品创新体系

在当前买方市场的经济条件下,产品设计必须满足顾客需求,产品的创新必须使顾客满意,因此,对基于顾客满意度的产品创新体系进行探讨是产品设计中的首要任务。在顾客满意度调查的基础上,提出最小顾客满意度法、基于模糊模拟的遗传算法以及利用Bayes估计顾客满意度指数的聚类方法这3种方法,从不同侧面挖掘产品创新点,再利用模糊计算推理对提出的3种产品创新点挖掘方法进行综合。在挖掘出产品创新点后,需要根据专业知识对产品进行进一步的改进设计,并给出一个产品创新点挖掘方法的计算实例。建立了基于顾客满意的产品创新体系,使产品的创新设计能面向顾客的需求。     

A rough set based data mining approach for house of quality analysis

As the first phase of quality function deployment (QFD) and the only interface between the customers and product development team, house of quality (HOQ) plays the most important role in developing quality products that are able to satisfy customer needs. No matter in what shape or form HOQ can be built, the key to this process is to find out the hidden relationship between customers’ requirements and product design specifications. This paper presents a general rough set based data mining approach for HOQ analysis. It utilises the historical information of customer needs and the design specifications of the product that was purchased, employs the basic rough set notions to reveal the interrelationships between customer needs and design specifications automatically. Due to the data reduction nature of the approach, a minimal set of customer needs that are crucial for the decision on the correlated design specifications is derived. The end result of the approach is in the form of a minimal rule set, which not only fulfils the goal of HOQ, but can be used as supporting data for marketing purposes. A case study on the product of electrically powered bicycles is included to illustrate the approach and its efficiency.     

A framework for affective customer needs in product design

A systematic framework is proposed to conceptualize customer needs in product design. Customer needs were derived for current and future electronic devices in automobiles. Subjects rated their preferences for 15 product attributes on 10-point semantic differential scales. Using factor analysis, three generic factors were extracted, namely holistic attributes, styling and functional design. Depending upon the familiarity of the device, there were clear differences among potential customers. Unknown devices such as a navigation map were assessed first hand by using holistic attributes. Familiar designs such as car radio and cell phone were assessed using styling and functionality attributes. Customer reactions and preferences may be caused by product design parameters that operate either through their perceptual attributes or from the experience they acquire in using the artifacts or interfaces. There are both functional and affective needs. Functional (or cognitive) customer needs can be derived top-down, using product design features. Affective customer needs are difficult to derive top-down—typically they are evaluated by looking at several design propositions.