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 吳慧貞,鄧肖琳 中華大學,新竹,中華台北,300 Email: [email protected], [email protected] 摘 要:因應目前許多產業已進入專業分工,製造商已多將非關鍵技術之週邊產品,以採購方式補其 不足。為使企業在有限資源下,將資源做更有效運用,使其得以在競爭的市場中勝出,贏得與符合訂 單條件的再精進,實有其必要。發展贏得與符合訂單條件的準則,有助於企業組織進行決策,以符合 公司整體利益。而訂單條件間關係的進一步掌握與改善條件之效益評估,將有效協助企業經理人瞭解 市場的需求以及發展製造策略。 為得以站在顧客立場進行判斷,本研究整合 Kano 二維品質模式與 Terry Hill (2000)所提出的贏得與符合訂單條件的模式, 針對贏得訂單條件的品質屬性進行研究, 並且運用決 策實驗室分析法(DEMATEL)分析因果關係與相互影響程度,找出贏得訂單條件的核心要項。以往在問 卷設計中多採用李克特量表(Likert Scale),但人的感受是無法予以切割,尺度方式無法表達出人類思維 模式與感受的模糊性及不確定性,故本研究導入模糊理論之區間語意變數以表達人類思維模式與感受 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]
61
978-1-61896-007-8 © 2012 SciRes.
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)
62
978-1-61896-007-8 © 2012 SciRes.
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.
64
978-1-61896-007-8 © 2012 SciRes.
[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.
65
978-1-61896-007-8 © 2012 SciRes.
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]
61
978-1-61896-007-8 © 2012 SciRes.
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)
62
978-1-61896-007-8 © 2012 SciRes.
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.
64
978-1-61896-007-8 © 2012 SciRes.
[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.
65
978-1-61896-007-8 © 2012 SciRes.