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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/11469


    Title: 品質機能展開與設計結構矩陣於新產品規劃之應用;Applying Quality Function Deployment and Design Structure Matrix to Product Planning
    Authors: 鄭朝宗;Chao-Tsung Cheng
    Contributors: 企業管理學系碩士在職專班
    Keywords: Rework Probability;Reschedule;Overlapping Activities;Voice of Customer;Design Structure Matrix;Quality Function Deployment;Schedule;Product Planning;Voice of Customer;Quality Function Deployment;Design Structure Matrix;Reschedule;Schedule;Overlapping Activities;Rework Probability;Product Planning
    Date: 2004-07-01
    Issue Date: 2009-09-22 14:22:23 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: Product planning decisions largely determine the success or failure of a new product development. To achieve organization targets, product managers must set clear product specifications and realistic schedule. In order to avoid design a product that includes every desirable characteristic for everyone, just focused on customers what they need. Product managers must both understand customer requirements and also select the optimal set of features to meet those needs. At the same time, they must control product complexity in order to achieve reasonable development schedules and create a product that can be supported after the sale. Product development project delay issue is universal among the companies. Thereupon, this paper focuses on design iterations, which are inherent in product development process. It aggravates the uncertain of product development duration, but often unaddressed. Its impact is mediated by the architecture of a process, i.e., its constituent activities and their interaction. This paper adopts quality function deployment (QFD) methodology gradual deploy customer requirements and other popular methods to output product specifications. After that, based on design structure matrix, a rework probability assessment method for design activity is proposed in order to schedule a project. A cycle time reduction method what we proposed that beyond the common recommendation to simply overlap activities as much as possible. The framework yields and reinforces several managerial insights, including: how a customer requirement converts to product specifications, how to generate a realistic schedule, how to reschedule and account for corresponding iterative and overlapped activities. An industrial application for an AC motor drive is demonstrated to illustrate the proposed framework. Product planning decisions largely determine the success or failure of a new product development. To achieve organization targets, product managers must set clear product specifications and realistic schedule. In order to avoid design a product that includes every desirable characteristic for everyone, just focused on customers what they need. Product managers must both understand customer requirements and also select the optimal set of features to meet those needs. At the same time, they must control product complexity in order to achieve reasonable development schedules and create a product that can be supported after the sale. Product development project delay issue is universal among the companies. Thereupon, this paper focuses on design iterations, which are inherent in product development process. It aggravates the uncertain of product development duration, but often unaddressed. Its impact is mediated by the architecture of a process, i.e., its constituent activities and their interaction. This paper adopts quality function deployment (QFD) methodology gradual deploy customer requirements and other popular methods to output product specifications. After that, based on design structure matrix, a rework probability assessment method for design activity is proposed in order to schedule a project. A cycle time reduction method what we proposed that beyond the common recommendation to simply overlap activities as much as possible. The framework yields and reinforces several managerial insights, including: how a customer requirement converts to product specifications, how to generate a realistic schedule, how to reschedule and account for corresponding iterative and overlapped activities. An industrial application for an AC motor drive is demonstrated to illustrate the proposed framework.
    Appears in Collections:[Executive Master of Business Administration] Electronic Thesis & Dissertation

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