Integrating Fuzzy Linguistic, Kano Model and Decision Making Trial

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Integrating Fuzzy Linguistic, Kano Model and Decision Making Trial and Evaluation Laboratory to Enhance Order-Winner Criteria: A Case Study Huey-cheng WU, Hsiao-lin TENG Industrial Management, Chung Hua University, Hsinchu City, Chinese Taipei, 300 Email: [email protected], [email protected] Abstract: Due to professional services come of age, manufacturers purchase most non-critical accessory products to fill the gap. It is necessary to conduct limited resources in an enterprise efficiently to become or- der-winners and qualifiers in competitive market. A guideline which is order-winners and qualifiers can meet the overall benefit of the business in considering of decision-making. However, further skilled the relationship between the order-winning criteria and benefit assessment of improving the criteria will assist business man- agers having understanding the need market as well as learning manufacturing develop strategy. This study integrates Kano Two Dimensional Model and the model- Order-winners and Qualifiers proposed by Terry Hill(2000) on the purpose to give decision-making based on customer’s view. Therefore, this study is focus on the quality attribute of order-winning criteria and then to apply decision making trial and evaluation labo- ratory (DEMATEL) in order to analyze the causality and the level of interference. As a result, it is to find out the core element of order-winning criteria. In the previous work of questionnaire design, most questionnaire conducut Likert Scale. However, human feeling can not be divided. Scale can not express the human mental- ity as well as ambiguity and uncertainty of human feeling. Therefore, this study conduct Fuzzy Interval Lin- guistic Variables to express human mentality and ambiguity and uncertainty of feeling. In addition, it will also develop fuzzy Dematel measurement instrument to know the links between order criteria. At last, the case study of this research is the bicycle brake system business in Taiwan. It is an empirical analysis to test the advanced model of order-winners and qualifiers on the purpose to structure a model as reference of marketing and manufacturing strategy of order-winning. The result of the study showed that the integration concept of Kano two-dimensional model and fuzzy Dematel has actual help in assisting managers to advance or- der-winners and qualifiers. The relevant researches through this study and its practical implications shows as following. Bovenkant formulier. Keywords: Fuzzy Interval Linguistic Variables; Kano Two Dimensional Quality Model; Decision Making Trial and Evaluation Laboratory(DEMATEL); Order-winners and Qualifiers 以模糊語意、Kano 二維模式與 DEMATEL 於贏得訂單 條件的改善:以台灣自行車制動系統業為例 肖琳 中華大學新竹中華台北300 Email: [email protected], [email protected] 要:目前產業專業分工,造商已多關鍵週邊產品,以採購方式不足。使企在有限源下,將資源做更有效用,使其得以在競爭的市出,符合單條件的再精有其必要。符合訂單條件的準則,有助於企業組織進策,以符合 公司整利益。而訂單條間關係一步掌握改善件之效益估,有效助企業經理人的需求以及造策略。 得以站在客立場進行判,本研究整合 Kano 模式Terry Hill (2000)所提出的符合訂單條件的模式, 針對贏訂單條件的品質屬行研究, 實驗室分析法(DEMATEL)分析因果關係與相互影程度,找出訂單條件的核心要。以往在設計中多用李克特量表(Likert Scale),但人的感受是法予以切割,尺度方式法表出人模式感受的模糊性及不定性,故本研究入模糊理區間語變數以表模式感受 61 2012 International Conference on Engineering and Business Management 978-1-61896-007-8 © 2012 SciRes.

Transcript of Integrating Fuzzy Linguistic, Kano Model and Decision Making Trial

Integrating Fuzzy Linguistic, Kano Model and Decision Making Trial and Evaluation Laboratory to Enhance Order-Winner Criteria: A Case StudyIntegrating Fuzzy Linguistic, Kano Model and Decision Making Trial and Evaluation Laboratory to Enhance
Order-Winner Criteria: A Case Study
Huey-cheng WU, Hsiao-lin TENG Industrial Management, Chung Hua University, Hsinchu City, Chinese Taipei, 300
Email: [email protected], [email protected]
Abstract: Due to professional services come of age, manufacturers purchase most non-critical accessory products to fill the gap. It is necessary to conduct limited resources in an enterprise efficiently to become or- der-winners and qualifiers in competitive market. A guideline which is order-winners and qualifiers can meet the overall benefit of the business in considering of decision-making. However, further skilled the relationship between the order-winning criteria and benefit assessment of improving the criteria will assist business man- agers having understanding the need market as well as learning manufacturing develop strategy. This study integrates Kano Two Dimensional Model and the model- Order-winners and Qualifiers proposed by Terry Hill(2000) on the purpose to give decision-making based on customer’s view. Therefore, this study is focus on the quality attribute of order-winning criteria and then to apply decision making trial and evaluation labo- ratory (DEMATEL) in order to analyze the causality and the level of interference. As a result, it is to find out the core element of order-winning criteria. In the previous work of questionnaire design, most questionnaire conducut Likert Scale. However, human feeling can not be divided. Scale can not express the human mental- ity as well as ambiguity and uncertainty of human feeling. Therefore, this study conduct Fuzzy Interval Lin- guistic Variables to express human mentality and ambiguity and uncertainty of feeling. In addition, it will also develop fuzzy Dematel measurement instrument to know the links between order criteria. At last, the case study of this research is the bicycle brake system business in Taiwan. It is an empirical analysis to test the advanced model of order-winners and qualifiers on the purpose to structure a model as reference of marketing and manufacturing strategy of order-winning. The result of the study showed that the integration concept of Kano two-dimensional model and fuzzy Dematel has actual help in assisting managers to advance or- der-winners and qualifiers. The relevant researches through this study and its practical implications shows as following. Bovenkant formulier.
Keywords: Fuzzy Interval Linguistic Variables; Kano Two Dimensional Quality Model; Decision Making Trial and Evaluation Laboratory(DEMATEL); Order-winners and Qualifiers
Kano DEMATEL

Email: [email protected], [email protected]
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Dematel Kano Dematel
Fuzzy Interval Linguistic VariablesKano Kano Two Dimensional Quality Model(DEMATEL)
1



Bradly

Kano Model
(Two-Dimension Quality Model)
(Indifferent quality, I)5.(Reversal quality, R)
2.2
Evaluation Laboratory, DEMATEL)
(Fontela & Gabus, 1976)
2.3 ()

Zadeh(1975)
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1, (1 )i i iL pl p l
iL
2. Fuzzy

4

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Table 1. The Kano Model Analysis about Order-winners and Qualifiers
1. Kano Model

1 2
Table 2. The list of Fuzzy Linguistic data transfer to specific
values 2.
3
[(1.12)+(0.65)+(0.44)+0.53+…+0.11]/14
= -0.34
978-1-61896-007-8 © 2012 SciRes.



1.10
3.









(A)
(O)

(M)

(I)
(R)
MATEL

2.
References
[1] Hill, T. (2000). Manufacturing strategy: Text and cases. 3rd Edition, Basingstoke: McGraw-Hill.
[2] Hsiu-Yuan Hu, “Apply Kano’s Model and Decision Making Trial and Evaluation Laboratory to Improvement of Order Winners and Qualifiers-A Study of Computer Industry”(2008).
[3] Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338-353.
[4] Kano, N., Seraku, N., Takahashi, F., & Tsuji, S. (1984). Attrac- tive quality and must-be quality. The Journal of the Japanese So- ciety for Quality Control, 14(2), 39-48.
[5] Fontela, E., & Gabus, A. (1976). The DEMATEL observe. DEMATEL 1976 report. Geneva, Switzerland, Battelle Geneva Research Center.
[6] Hori, S. and Shimizu, Y.(1999), “Designing methods of human interface for supervisory control systems”, Control Engineering Practice, Vol.7, Issue.11.
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[7] Fontela, E., & Gabus, A. (1976). The DEMATEL observe. DEMATEL 1976 report. 8.Geneva, Switzerland, Battelle Geneva Research Center.
[8] Gabus, A., & Fontela, E. (1973). Perceptions of the world prob- lematique: 11. Communication procedure, communicating with those bearing collective responsibility. DEMATEL Report No. 1, Geneva, Switzerland, Battelle Geneva Research Center.
[9] Zadeh, L. A. (1975) The concept of a linguistic variable and its applications to approximate reasoning-I. Information Sciences, 8,
199-249. [10] Herrera, F., & Martínez, L. (2000). A 2-Tuple Fuzzy linguistic
representation model for computing with words. IEEE Transac- tions on Fuzzy Systems, 8(6), 746-752.
[11] Chen, C.-T., & Chen, P.-Y. (2009). An evaluation model of innovation performance based on fuzzy interval linguistic vari- ables. Journal of the Chinese Institute of Industrial Engineers, 26(5), 387-396.
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