The speed of the new product development in
sewing machine industry is slow. Due to the influence of the
general situation of sewing industry, time and funds,
combined with the uncertainty of the development result,
the enterprises find hard to make decision on how and when
to develop their new products or improve old ones, though
they have eager and strong desire. To meet the very
demands, the article introduces the QFD, sets up the house
of quality, and ensures the best group of the improvement
measures and contribution under the restriction of the cost.
http://www.vssewingmachine.com/sewing-machine-showroom-perambur/
From the view of Life Cycle of Engineering Design theory (LCED), modern Design starts on the voice of Customer and ends with the customer’s use and reject. And one of the basic features of modern design is ‘Modern design is driven by customer’.[1] Many studies agree that the early decision-making design, though sharing 8% cost of the whole, determines the effect of 85% cost in the life cycle. Therefore, how to scientifically make the decision in early stage of design is very important. The decision-making design has been studied in the Angle of Knowledge Reasoning by Ma Jun[2], in the view of entropy method by Zhou Chaoyang etc[3]. But their studies both concentrate on evaluation and choice among the design cases, and have not involved the transformation of the VOC to the engineering technological target and the operating specification reasonably and effectively. Zhao Daozhi[4] has made study the decision-making design to decide which engineering method gives priority to meeting the VOC at the constraints of time and cost. But as the major subjects, the different customers’ preference, purpose and focus were ignored in the weighing values of customer’s demands . QFD, used in the article, is a way to convert Voice of Customer (VOC) into Product Quality Characteristics (PQC), to determine the weightings of the each PQC, and to plan these items. [5] Currently, the new product development speed in sewing machine industry is slow. Due to the general situation of sewing industry, time and funds, combined with the uncertainty to the development result, the enterprises find hard to make decision on how and when to promote their new products, though they have eager desire. In view of this atmosphere, the article introduces the QFD, setups the house of quality, and ensures the best group of the improvement measures from all under the restriction of the cost.
SETTING UP THE SEWING MACHINE HOUSE OF QUALITY BASED ON THE ASI MODEL
GFD method mainly includes two models: ASI and Goal/QPC. In accordance with the characters of the sewing machine, the article takes the ASI model. The house of quality (HOQ) is the basis and tools of the ASI model. The ASI model divides the VOC into four periods such as: product planning, parts planning, process planning and production planning. A HOQ is built according to each period. The study mainly focuses on the infant stage of the sewing machine development, so, the study is carried out based on the furher computation and construction of the product planning HOQ. The brief HOQ of the sewing machine is shown as follows:
(1) Voice of Customer: Several typical customers(g) act as research objects, CRi stands for the customer requirement of typical customer i. (2) Weighting coefficient: W is the relative weight of customer’s demand. In this paper, the number of typical customers selected is allowed to determine the metrics of every customer’s requirement according to their individual interests and concerns, w˄i i=1,2ˈˈĂˈg˅is the relative weight of CRi determined by the ist typical customer. And the sum of wi is 15. (3) The improved measurement is adopted to satisfy user’s requirement, and belongs to product quality characteristic (PQC), presented as ECj. (4) Autocorrelative matrix (P): Pjk is the autocorrelation coefficient of ECj and ECk. And “blank, ƾ, Ʒ, Ƶ, ƽ” represents “irrelative, weakly relative, medium relative, strongly relative, self-relative”, and was assigned with the values “0,1,3,5,9” correspondingly. The symbol is Assigned a negative one, if it’s inverse correlation. P is a symmetric matrix. (5) Relationship matrix(R): the mapping relationship between customer’s requirements and improvement measures, reflecting the degree of relationship between them. Usually is shown as R. R=[rij]ˈi=1,2,…,m; j=1,2,…,n; ˄1˅ m: the number of customer’s requirement items; n: the number of improvement measure items; The degree of correlation˄rij˅, “irrelative, weakly relative, medium relative, strongly relative, self-relative”, are replaced by “blank, ƾ, Ʒ, Ƶ, ƽ”. Each symbol was assigned with the value “0, 1, 3, 5, 9” correspondingly in calculation. (6) The importance degree of the improvement measures is shown as T=[tj],˄j=1,2,Ă,n˅. Essentially, tj also implies the contribution of customer’s satisfaction level when the improvement measure ECj is carried out.
http://www.vssewingmachine.com/sewing-machine-showroom-perambur/
From the view of Life Cycle of Engineering Design theory (LCED), modern Design starts on the voice of Customer and ends with the customer’s use and reject. And one of the basic features of modern design is ‘Modern design is driven by customer’.[1] Many studies agree that the early decision-making design, though sharing 8% cost of the whole, determines the effect of 85% cost in the life cycle. Therefore, how to scientifically make the decision in early stage of design is very important. The decision-making design has been studied in the Angle of Knowledge Reasoning by Ma Jun[2], in the view of entropy method by Zhou Chaoyang etc[3]. But their studies both concentrate on evaluation and choice among the design cases, and have not involved the transformation of the VOC to the engineering technological target and the operating specification reasonably and effectively. Zhao Daozhi[4] has made study the decision-making design to decide which engineering method gives priority to meeting the VOC at the constraints of time and cost. But as the major subjects, the different customers’ preference, purpose and focus were ignored in the weighing values of customer’s demands . QFD, used in the article, is a way to convert Voice of Customer (VOC) into Product Quality Characteristics (PQC), to determine the weightings of the each PQC, and to plan these items. [5] Currently, the new product development speed in sewing machine industry is slow. Due to the general situation of sewing industry, time and funds, combined with the uncertainty to the development result, the enterprises find hard to make decision on how and when to promote their new products, though they have eager desire. In view of this atmosphere, the article introduces the QFD, setups the house of quality, and ensures the best group of the improvement measures from all under the restriction of the cost.
SETTING UP THE SEWING MACHINE HOUSE OF QUALITY BASED ON THE ASI MODEL
GFD method mainly includes two models: ASI and Goal/QPC. In accordance with the characters of the sewing machine, the article takes the ASI model. The house of quality (HOQ) is the basis and tools of the ASI model. The ASI model divides the VOC into four periods such as: product planning, parts planning, process planning and production planning. A HOQ is built according to each period. The study mainly focuses on the infant stage of the sewing machine development, so, the study is carried out based on the furher computation and construction of the product planning HOQ. The brief HOQ of the sewing machine is shown as follows:
(1) Voice of Customer: Several typical customers(g) act as research objects, CRi stands for the customer requirement of typical customer i. (2) Weighting coefficient: W is the relative weight of customer’s demand. In this paper, the number of typical customers selected is allowed to determine the metrics of every customer’s requirement according to their individual interests and concerns, w˄i i=1,2ˈˈĂˈg˅is the relative weight of CRi determined by the ist typical customer. And the sum of wi is 15. (3) The improved measurement is adopted to satisfy user’s requirement, and belongs to product quality characteristic (PQC), presented as ECj. (4) Autocorrelative matrix (P): Pjk is the autocorrelation coefficient of ECj and ECk. And “blank, ƾ, Ʒ, Ƶ, ƽ” represents “irrelative, weakly relative, medium relative, strongly relative, self-relative”, and was assigned with the values “0,1,3,5,9” correspondingly. The symbol is Assigned a negative one, if it’s inverse correlation. P is a symmetric matrix. (5) Relationship matrix(R): the mapping relationship between customer’s requirements and improvement measures, reflecting the degree of relationship between them. Usually is shown as R. R=[rij]ˈi=1,2,…,m; j=1,2,…,n; ˄1˅ m: the number of customer’s requirement items; n: the number of improvement measure items; The degree of correlation˄rij˅, “irrelative, weakly relative, medium relative, strongly relative, self-relative”, are replaced by “blank, ƾ, Ʒ, Ƶ, ƽ”. Each symbol was assigned with the value “0, 1, 3, 5, 9” correspondingly in calculation. (6) The importance degree of the improvement measures is shown as T=[tj],˄j=1,2,Ă,n˅. Essentially, tj also implies the contribution of customer’s satisfaction level when the improvement measure ECj is carried out.
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