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U. Cebeci (2009)
Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecardExpert Syst. Appl., 36
A. Sarfaraz (2012)
A Fuzzy Conceptual Design Selection Model Considering Conflict ResolutionInternational journal of engineering and technology, 4
W. Ho (2008)
Integrated analytic hierarchy process and its applications - A literature reviewEur. J. Oper. Res., 186
Timothy Gilbride, Greg Allenby (2004)
A Choice Model with Conjunctive, Disjunctive, and Compensatory Screening RulesMarketing Science, 23
Y. Akao (1990)
Quality Function Deployment : Integrating Customer Requirements into Product Design
N. Hanumaiah, B. Ravi, N. Mukherjee (2006)
Rapid hard tooling process selection using QFD‐AHP methodologyJournal of Manufacturing Technology Management, 17
M. Lin, Chen-Cheng Wang, Ming-Shi Chen, C. Chang (2008)
Using AHP and TOPSIS approaches in customer-driven product design processComput. Ind., 59
Shamsuddin Ahmed, Francis Amagoh (2010)
Application of QFD in product development of a glass manufacturing company in KazakhstanBenchmarking: An International Journal, 17
Ahmad Sarfaraz, Pooja Mukerjee, K. Jenab (2012)
Using fuzzy analytical hierarchy process (AHP) to evaluate web development platformManagement Science Letters, 2
Yanlai Li, Jiafu Tang, Xinggang Luo, Jie Xu (2009)
An integrated method of rough set, Kano's model and AHP for rating customer requirements' final importanceExpert Syst. Appl., 36
G. Tzeng, Cheng-Hsin Chiang, Chung-Wei Li (2007)
Evaluating intertwined effects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATELExpert Syst. Appl., 32
C. Hwang, Young-Jou Lai, Ting-Yun Liu (1993)
A new approach for multiple objective decision makingComput. Oper. Res., 20
Shih-Wen Hsiao (2002)
Concurrent design method for developing a new productInternational Journal of Industrial Ergonomics, 29
M. Grimaldi, Pierluigi Rippa (2011)
An AHP-based framework for selecting knowledge management tools to sustain innovation processKnowledge and Process Management, 18
Lisa Liu (2008)
Application of analytic network process in knowledge management performance evaluation2008 IEEE International Conference on Service Operations and Logistics, and Informatics, 1
Liyu Zhu (2010)
A fuzzy MCDM model for knowledge service vendor evaluation and selection2010 Third International Symposium on Knowledge Acquisition and Modeling
Selçuk Perçin (2010)
Use of analytic network process in selecting knowledge management strategiesManagement Research Review, 33
Ralph Steuer, P. Na (2003)
Multiple criteria decision making combined with finance: A categorized bibliographic studyEur. J. Oper. Res., 150
Yu-Ping Yang, H. Shieh, Jun-der Leu, G. Tzeng (2009)
A VIKOR-Based Multiple Criteria Decision Method for Improving Information Security RiskInt. J. Inf. Technol. Decis. Mak., 8
Hsin-Kuang Chi, Huery-Ren Yeh, Li-Hsin Liao (2008)
Applying Fuzzy Analytic Hierarchy Process to Explore the University Organizational Performance in Taiwan
Wei-Lun Chang (2008)
Using Multi-attribute Utility Theory to Rank and Select Co-branding Partners2008 Eighth International Conference on Intelligent Systems Design and Applications, 1
S. Opricovic, G. Tzeng (2004)
Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSISEur. J. Oper. Res., 156
Xiaoxiang Shen, K. Tan, M. Xie (2000)
Benchmarking in QFD for quality improvementBenchmarking: An International Journal, 7
Nan Tu, Tian Zhang, Qiuyun He, Haofeng Zhang, Yahui Li (2011)
Applying combined AHP-QFD method in new product development: A case study in developing new sports earphoneMSIE 2011
G. Köksal, Alpay Eğıman (1998)
Planning and design of industrial engineering education quality, 35
A. Bhattacharya, Bijan *, S. Mukherjee (2005)
Integrating AHP with QFD for robot selection under requirement perspectiveInternational Journal of Production Research, 43
D. Chang (1996)
Applications of the extent analysis method on fuzzy AHPEuropean Journal of Operational Research, 95
F. Partovi (1999)
A QUALITY FUNCTION DEPLOYMENT APPROACH TO STRATEGIC CAPITAL BUDGETINGThe Engineering Economist, 44
T. Saaty (1990)
How to Make a Decision: The Analytic Hierarchy ProcessInterfaces, 24
Miyoung Jeong, Haemoon Oh (1998)
Quality function deployment: An extended framework for service quality and customer satisfaction in the hospitality industryInternational Journal of Hospitality Management, 17
K. Jenab, Ahmad Sarfaraz (2012)
A Fuzzy Graph-Based Model for Selecting Knowledge Management Tools in Innovation ProcessesInt. J. Enterp. Inf. Syst., 8
K. Lam, Xiande Zhao (1998)
An application of quality function deployment to improve the quality of teachingInternational Journal of Quality & Reliability Management, 15
H. Raharjo, A. Brombacher, K. Chai, B. Bergman (2008)
Dynamic benchmarking methodology for quality function deployment2008 IEEE International Conference on Industrial Engineering and Engineering Management
V. Bouchereau, Hefin Rowlands (2000)
Methods and techniques to help quality function deployment (QFD)Benchmarking: An International Journal, 7
M. Tseng, Wei‐Wen Wu, Ching-Fan Lee (2011)
Knowledge Management Strategies in Linguistic Preferences
W. Müller, E. Wiederhold (2002)
Applying decision tree methodology for rules extraction under cognitive constraintsEur. J. Oper. Res., 136
K. Jenab, S. Khoury, Ahmad Sarfaraz (2012)
Manufacturing Complexity Analysis with Fuzzy AHPInt. J. Strateg. Decis. Sci., 3
Wei‐Wen Wu, Yu-Ting Lee (2007)
Selecting knowledge management strategies by using the analytic network processExpert Syst. Appl., 32
Pao-Tiao Chuang (2001)
Combining the Analytic Hierarchy Process and Quality Function Deployment for a Location Decision from a Requirement PerspectiveThe International Journal of Advanced Manufacturing Technology, 18
Purpose – The purpose of this paper is to present a new warranty model to improve warranty management. As a case study, the developed model has been applied on an industrial vehicle manufacturing company. The model is composed of quality function deployment (QFD) and interval-based analytical hierarchy process ( i -AHP). The i -AHP is an extension of the concept of analytical hierarchy process (AHP) that takes the benefits of interval computations in order to mitigate the shortcomings of AHP and fuzzy AHP. Design/methodology/approach – Using a combination of i -AHP and QFD, the authors analyzed the several options and alternatives available, weighting each one by means of an interval pair-wise comparison. Using collected data, the authors have shown how to map the capability of each option against each alternative and thereby build a relationship matrix under the QFD approach based on interval computations. Findings – The use of i -AHP&QFD integrated methodology helps to identify the best options to solve several decision problems in diverse fields and could be applied successfully in warranty management. This methodology is especially useful when dealing with several options and equal numbers of alternatives for each warranty option. Research limitations/implications – The case study includes competitiveness analysis at the first house of quality (HOQ), but not at the subsequent HOQ, due to a lack of information from the relevant competitors. However, the paper demonstrates the kind of competitiveness analysis at the first HOQ which can be extended to all subsequent HOQs. Practical implications – The research would be useful to academics and practitioners in developing integrated versions of the QFD and i -AHP methodologies to improve warranties. Originality/value – This study contributes to the diffusion of a new form of integrated warranty model, through the presentation of practical examples of industrial vehicle warranty management. Also, the model presents the i -AHP in order to quantify and compare variables via the use of geometrical averages and to synthesize a subsequent solution.
Benchmarking: An International Journal – Emerald Publishing
Published: Sep 30, 2014
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