Integrated QFD and MCGP approaches for product design and ...kakiyama.info/jssd/pdf/C2.pdfpresents...
Transcript of Integrated QFD and MCGP approaches for product design and ...kakiyama.info/jssd/pdf/C2.pdfpresents...
Integrated QFD and MCGP approaches for product design and selection A Case Study of Taiwan medical aids company Hsiang-Ju Chen1) Chih-Fu Wu2) Chung-Jen Wu3)
1) Tatung University - PhD Program of Design Science 2) Tatung University - The Graduate Institute of Design Science 3) China University of Science and Technology - Department of International Business and Marketing æŠ èŠ : 補åã®æ©èœã«å¯Ÿããæ¶è²»è ã®éèŠãæ¥éã«å€åããŠãããããäŒæ¥ã¯æ¶è²»è ã®ããŒãºãæºããæ°è£œåãçæéã§
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éçºããããã«ãéå±€åæïŒAHPïŒãå質æ©èœå±éïŒQFDïŒãããã³å€éžæç®æšèšç»ïŒMCGPïŒã¢ãã«ãçµ±åããŸããã æ¬è«æã¯ãå€ç®çéžæãéçºããããã«æå¿æ±ºå®è ïŒDMïŒãå€æããããã®æ¹æ³ãææ¡ããã ãã®æ¹æ³ã®å®çšæ§ã蚌æããããã«ãæ¬è«æã¯å°æ¹Ÿã«ãããå»çä»å±åèšèšäºäŸã«é¢ãã
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Key Word: Product design selection, Quality function development (QFD), Multi-choice goal programming (MCGP)
1 Introduction
For response to speedy growing and fast changing markets, develops new products faster than competitors cannot only assist business in obtaining larger market share but also reducing development lead time, significantly (Wang and Chen, 2012). Many methods for optimizing product design and selection can be found in the literature. In instance, Huang et al. (2011) converted the qualitative customer's requirements to a quantitative metric with fuzzy sets, neural network and evaluated the conceptual design solutions of products. Gupta et al. (2016) proposed the product system quality function with QFD, which is defined as a ratio of the actual to the ideal values to evaluate alternative designs.
Over the past studied, how to select a satisfying diversified consumer needs product design have lacked integration between qualitative and quantitative formal reference model. This research will fill the gap and presents an integrated analytical hierarchy process (AHP), QFD and multi-choice goal programming (MCGP) method to address the product design and selection problem. To show the practicality and usefulness of this model, a case study of a Taiwanese medical aids company is presented. 2 Methodology of Analysis
1) Identification customer requirements (CRs) and technical requirements (TRs), according to the Liao et al.(2014) HOQ model as Fig.1.
2) Generating the weights of CRs and their interdependences and correlations.
3) Deriving the final weight of CRs and TRs. 4) Establishing MCGP model. 5) Select optimizing product design module.
3 Results 3.1 A case study
A case study that was applied to medical aids company (say A company) in Taiwan to select the best medical aids product design by using the proposed QFD methodology. The decision marker (DM) group consisting of CEO and staffs from the manufacturing, quality control, product design, finance and market analysis departments. In addition, nine experts from medical unit and academic institutions were invited to participate and provide their opinions. Through medical personnel and family of patient questionnaire the market analysis departments offer six important CRs, as shown in Table 1, and the DM group translated the six CRs into TPs to be considered in product design. Through discussion and analysis by Delphi method, and literature review the DM group came up with eight TPs as shown in Table 2. In addition, using the Delphi technique, four product design module idea types were considered to fit CRs and TPs in this case. The concept of four modules product design is shown In Fig. 3. 3.2 Evaluated by AHP method According to the medical personnel and family of patient questionnaire the market analysis departments obtained six important CRs and definition as stable function. The decision matrix, constructed to measure the relative degree of importance for each CRs in geometric average method, is obtained from equation. From the results presented in Table 3 that P1 product design module has the highest overall score and be select using AHP method. 3.3 Evaluated by QFD-MCGP method using LINGO
software
62 BULLETIN OF JSSD 2019 æ¥æ¬ãã¶ã€ã³åŠäŒããã¶ã€ã³åŠç 究
The QFD-MCGP model was solved using LINGO software (Schrage, 2002), the optimal solutions obtained ð¥ð¥"=1 and ð¥ð¥# = ð¥ð¥% = ð¥ð¥& = 0. Thus, based on involvement quantitative measures in the best interest of the A company, product design module candidate P2 should be selected. This is a different result due to the QFD-MCGP method considered qualitative and quantitative criteria factors. 4 Conclusion
New product design and selection is a key success factor of businessâs operation and management strategy. A successful product design can be adopted by firm for its TRs via CRs. Therefore, it involves many factors; therefore, selection right product design for customers is a very important and complex decision-making problem. The link between CRs and TRs is a used QFD is a useful analyzing approach for product design and selection. However, to select a satisfying diversified customer needs product design have lacked integration between qualitative and quantitative formal reference model in past research. To the authorâs knowledge, no one has applied QFD-MCGP approach in product design and selection problem. This paper provided an integrated QFD-MCGP approach, which considers CRs and TRs to select the best product design for firm. The proposed QFD-MCGP method facilitates efficient communication between the customers need and technical requirements consideration between qualitative and quantitative criteria. The advantage of this proposed method is that allows DMs to set multi-choice goal levels for the decision criteria. The contribution of this study is proposed a practical application case and it will provide a reference formwork for organization or company in new product design and selection.
Although this case study has demonstrated the usefulness of the proposed approach in developing a business new product development, it may be valuable for a business to use other methods, such as t he analytic network process (ANP) or fuzzy techniques for order
preference by similarity to ideal solution (TOPSIS), matter-element analysis (MEA) and multi-segment goal programming to integrate with QFD and to enhance CRs and TRs effectiveness of product design in our future research. References 1. Wang, C. H. & Chen, J. N. (2012). Using quality
function deployment for collaborative product design and optimal selection of module mix. Computers & Industrial Engineering, 63, 1030-1037.
2. Huang, H. Z., Li, Y., Liu, W., Liu, Y. &Wang, Z. (2011). Evaluation and decision of products conceptual design schemes based on customer requirements. Journal of Advanced Manufacturing Technology, 25 (9), 2413-2425.
3. Gupta, S., Kota, S. & Mishra, R. P. (2016). Modeling and evaluation of product quality at conceptual design stage. International Journal of System Assurance Engineering and Management, 7 (1), 163-177.
4. Liao, C. N. & Kao, H. P. (2014). An evaluation approach to logistics service using fuzzy theory, quality function development and goal programming. Computers & Industrial Engineering, 68(2), 54-64.
5. Chang, C. T. (2007). Multi-choice goal programming. Omega, 35(4), 389-396.
6. Chowdhury, M. M. H. & Quaddus, M.A. ( 2016). A multi-phased QFD based optimization approach to sustainable service design. International Journal of Production Economics, 171, 165-178.
7. Lam, J. S. L. & Lai, K.H. (2015). Developing environmental sustainability by ANP-QFD approach: the case of shipping operations. Journal of Cleaner Production, 105, 275-284.
8. Schrage, L. (2002). LINGO Release 8.0. LINDO System Inc.
63æ¥æ¬ãã¶ã€ã³åŠäŒããã¶ã€ã³åŠç 究 BULLETIN OF JSSD 2019
Abstract : In this research, we aim to compare the effectiveness of text information and image information in the idea. At first, as a research method, we developed an idea support system using AI that presents text information and an idea support system that presents image information and carries out verification experiments using them. Next, we developed a system
that presents both text information and image information and conducted a comparison experiment with a system that presents text information and image information alone. As a result, we confirmed that it is the most effective to present both text information and image information.
Key Words :Design methodology, Design Thinking Model, AI
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Abstract : The necessity of deep emotion research has been growing for embodiment design of deep emotion experience. From previous study, the model of deep emotion has been proposed and pointed out that the factors of deep emotion are amazement and empathy. Whereas researches have been conducted on mechanism of deep emotion, it has not been considered about the ways of design it. Hence, in this study, a new
design method (Deep Emotion Design Method) is proposed to create impressive experience using the model of deep emotion. Also, idea proposal and evaluation experiment indicated the effectiveness of the method. In addition, applying this method to the example of branding design in Bisyanohana confirmed the practicality of Deep Emotion Design Method through using it under co-creation environment and proposal to residents.
Key Word : Deep emotion, Design method
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