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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

(M)

(R)
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
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[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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