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Quality Function Deployment requirements

Quality Function Deployment. Sometimes referred to as the House of Quahty, quahty function deployment (QFD) is a technique for translating the voice of the customer iato design requirements (19). This is a systematic approach identifyiag customer expectations and relating the expectations to product properties. The usage of QFD ia the chemical iadustry appears to be growing. QFD results ia chemical specifications optimized to assure the material is suitable for its iatended use and performs up to customer expectations. [Pg.367]

Quality Function Deployment set targets for the engineering characteristics of the product that satisfy the customers requirements... [Pg.381]

Quality function deployment (QFD), also referred to as customer driven engineering and matrix product planning , is a useful quality and planning tool which uses a structured approach in defining all the customer needs or requirements and translates these into design requirements for product development. [Pg.161]

Quality function deployment (QFD) is a tool that is used to specify all major requirements of customers and then evaluate how well the designs meet or exceed those requirements. It is used in developing new products, improving existing products, and developing processes to manufacture the products. QFD is a set of methods to take all of the information gathered from a firm s customers and potential customers and organize it to facilitate the product development process. QFD is a communication and translation tool. It allows a cross-functional team to share information effectively. [Pg.168]

Quality Function Deployment (QFD) is a technique to translate requirements — defined by customers — into specifications for a product or service. The tool is promoted as part of total quality and Six Sigma improvement efforts. QFD captures the voice of the customer and has application for supply chain processes, including physical flow, needed flexibility, extended product features, and new product introduction. QFD forces supply chain designers to consider customer needs important in design. This lowers the risk of leaving something out. [Pg.88]

This chapter describes and applies a framework for developing the activities and associated processes for specialized supply chains. The boundaries of these supply chains can be defined by a company and its trading partners, or by a business within the business or sphere as described in Chapter 9. Chapter 11 describes how the Quality Function Deployment (QFD) technique supports the design of activity systems by gathering customer requirements. [Pg.137]

As asserted in the quotation above, quality function deployment (QFD), introduced previously in Section 6.5, has much to recommend it for supply chain design. QFD, in fact, originated in 1971 from the deployment of quality engineers to document customer requirements, remains a tool in popular siK sigma process improvement programs. [Pg.147]

Quality Function Deployment (QFD) A system engineering process that transforms the desires of the customer/user into the language required, at all project levels, to implement a product. It also provides the glue necessary, at all project levels, to tie it all together and to manage it. Finally, it is an excellent method for ensuring that the customer obtains high value from the product, the intended purpose of QFD. [Pg.547]

Voice of the customer A component of Quality Function Deployment (QFD) that provides customers requirements as the basis for design of a product or process. [Pg.559]

As a further occurrence of a matrix method, the modular function deployment (MFD) approach was developed by Erixon [32] with the target to facilitate the development of a robust production program that is easily adaptable to the varying requirements. It is based on the quality function deployment (QFD) methodology, which is expanded with the modularity concept. The MFD approach introduces dedicated criteria ( module drivers ), which compile a business strategy into a framework for modular product design. Module drivers yield the basis for a systematic evaluation of technical solutions for a given product, based on an accommodated product structure. [Pg.402]

The design of the fuel cell system really begins with the Voice of the Customer (VOC). For fuel cell systems, there can be many potential customers the end user, the OEM, or an intermediate service provider. In any case, by the voice of the customer is meant that quality expectation taken directly from the customer, properly evaluated, and deployed within the product development process. One such technique for doing this is the well-known Quality Function Deployment (QFD) process which, if properly used, enables the VOC to be deployed all the way to the factory floor. Without knowing and agreeing on the key customer requirements upfront, the fuel cell system design process cannot be successfully completed. [Pg.453]

Market analyses, interviews or surveys can help to define these requirements. In addition to that quality management methods like Quality Function Deployment (QFD) can help institutes and chairs to meet the defined requirements. [Pg.198]

Kwong, C.K Bai, H. (2002) A fuzzy AHP approach for the determination of importance weights of customer requirements in quality function deployment. In Journal of Intelligent Manufacturing, 13(5), 367-377. [Pg.129]

Video data transmissions can require a significant bandwidth that depends on the video parameters such as frame rate, resolution and quality (compression). If talking about a virtual community built around VPN/LAN (high-speed intranet in which bandwidth is not an issue) higher-quality transmission can be setup. Even in such cases, there are limits to what a PC can reasonably capture, for example, the application shouldn t exceed 80% of CPU capacity on Windows. Most applications are deployed over the Internet and the bandwidth requirements can profoundly affect the application s functioning and the user experience. The proposed framework considers those aspects, that way the smallest appropriate dimensions and lowest acceptable frame rate is selected in a dynamic manner (within the bandwidth management function). [Pg.214]


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See also in sourсe #XX -- [ Pg.2 ]




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