Fuzzy PROMETHEE GDSS for technical requirements ranking in HOQ

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• 作者：Seyyed Mahdi Hosseini Motlagh (1)
  Majid Behzadian (2)
  Joshua Ignatius (3)
  Mark Goh (4) (5)
  Mohammad Mehdi Sepehri (6)
  Tan Kim Hua (7)
  
  1. School of Industrial Engineering ; Iran University of Science and Technology ; Tehran ; Iran
  2. School of Industrial Engineering ; Shomal University ; Tehran ; Iran
  3. School of Mathematical Sciences ; Universiti Sains Malaysia ; Penang ; Malaysia
  4. Decision Sciences Department ; School of Business ; National University of Singapore ; Singapore ; Singapore
  5. School of Business IT and Logistics ; RMIT University ; Melbourne ; Victoria ; 3000 ; Australia
  6. Department of Industrial Engineering ; Tarbiat Modares University ; Tehran ; Iran
  7. Nottingham Business School ; University of Nottingham ; Nottingham ; UK
  
• 关键词：Fuzzy ; GDSS ; PROMETHEE ; Quality function deployment ; House of quality
• 刊名：The International Journal of Advanced Manufacturing Technology
• 出版年：2015
• 出版时间：February 2015
• 年：2015
• 卷：76
• 期：9-12
• 页码：1993-2002
• 全文大小：358 KB
• 参考文献：1. Akao Y (1990) Quality function deployment. Integrating customer requirements into product design. Productivity Press, Cambridge
  2. Bae SM, Ha SH, Park SC (2005) A web-based system for analyzing the voices of call center customers in the service industry. Expert Syst Appl 28:29鈥?1 CrossRef
  3. Behzadian M, Kazemzadeh R, Albadvi A, Aghdasi M (2010) PROMETHEE: a comprehensive literature review on applications and methodologies. Eur J Oper Res 200(1):198鈥?15 CrossRef
  4. Behzadian M, Khanmohammadi Otaghsara S, Yazdani M, Ignatius J (2012) A state-of the-art survey of TOPSIS applications. Expert Syst Appl 39:13051鈥?3069 CrossRef
  5. Benner M,Linnemann AR, Jongen WMF, Folstar P (2003) Quality Function Deployment (QFD)鈥攃an it be used to develop food products? Food Qual Prefer 14(4):327鈥?39
  6. Bisel RU, Buyukozkan G, Ruan D (2006) A fuzzy preference-ranking model for a quality evaluation of hospital websites. Int J Intell Syst 21(11):1181鈥?197 CrossRef
  7. Brans JP, Mareschal B (2005) PROMETHEE methods. In: Figueira J, Greco S, Ehrgott M, Multiple criteria decision analysis: state of the art surveys. Springer Science + Business Media, 163鈥?96
  8. Brans JP, Mareschal B, Vincke P (1984) PROMETHEE: a new family of outranking methods in MCDM, IFORS 84, North Holland. Amsterdam, 477鈥?90
  9. Buyukozkan G, Feyzioglu O (2005) Group decision making to better respond customer needs in software development. Comput Ind Eng 48(2):427鈥?41 CrossRef
  10. Buyukozkan G, Feyzioglu O, Rual D (2007) Fuzzy group decision-making to multiple preference formats in quality function deployment. Comput Ind 58(5):392鈥?02 CrossRef
  11. Chan LK, Wu ML (2005) A systematic approach to quality function deployment with a full illustrative example. Omega 33:119鈥?39 CrossRef
  12. Chen Y, Chen L (2006) A non-linear possibilistic regression approach to model functional relationships in product planning. Int J Adv Manuf Technol 28:1175鈥?181 CrossRef
  13. Chen CT (2000) Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst 114:1鈥? CrossRef
  14. Chou WC, Lin WT, Lin CY (2007) Application of fuzzy theory and PROMETHEE technique to evaluate suitable ecotechnology method: a case study in Shihmen Reservoir Watershed, Taiwan. Ecol Eng 31(4):269鈥?80 CrossRef
  15. Christiano JJ, Liker JK, White CC III (2000) Customer-driven product development through quality function deployment in the US and Japan. J Prod Innov Manag 17(4):286鈥?08 CrossRef
  16. Cohen L (1995) Quality function deployment: inhow to make QFD work for you. Addison-Wesley, Reading
  17. Fernandez-Castro AS, Jimenez M (2005) PROMETHEE: an extension through fuzzy mathematical programming. J Oper Res Soc 56(1):119鈥?22 CrossRef
  18. Fung RYK, Tang J, Tu PY, Chen Y (2003) Modelling of quality function deployment planning with resource allocation. Res Eng Des 14(4):247鈥?55 CrossRef
  19. Geldermann J, Spengler T, Rentz O (2000) Fuzzy outranking for environmental assessment. Case study: iron and steel making industry. Fuzzy Sets Syst 115(1):45鈥?5 CrossRef
  20. Haralambopoulos DA, Polatidis H (2003) Renewable energy projects: structuring a multicriteria group decision-making framework. Renew Energy 28(6):961鈥?73 CrossRef
  21. Ho ESSA, Lai YJ, Chang SI (1999) An integrated group decision-making approach to quality function deployment. IIE Trans 31(6):553鈥?67 CrossRef
  22. Hsiao SW (2002) Concurrent design method for developing a new product. Int J Ind Ergon 29:41鈥?5 CrossRef
  23. Hsiao SW, Liu E (2005) A structural component-based approach for designing product family. Comput Ind 56:13鈥?8 CrossRef
  24. Hwang C, Yoon K (1981) Multiple attribute decision-makings: methods and application. Springer, New York CrossRef
  25. Ignatius J, Motlagh SMH, Sepehri MM, Behzadian M, Mustafa A (2010) Hybrid models in decision making under uncertainty: the case of training provider evaluation. J Intell Fuzzy Syst 21(1):147鈥?62
  26. Iranmanesh SE, Salimi MH (2003) An investigation of rank reversal when using fuzzy importance lrvrls in QFD analysis. Int J Reliab Qual Saf Eng 10(2):185鈥?03 CrossRef
  27. Kahraman C, Ertay T, B眉y眉k枚zkan G (2006) A fuzzy optimization model for QFD planning process using analytic network approach. Eur J Oper Res 171(2):390鈥?11 CrossRef
  28. Karsak EE (2004) Fuzzy multiple objective decision making approach to prioritize design requirements in quality function deployment. Int J Prod Res 42(18):3957鈥?574 CrossRef
  29. Kazemzadeh RB, Behzadian M, Aghdasi M, Albadvi A (2009) Integration of marketing research techniques into house of quality and product family design. Int J Adv Manuf Technol 41:1019鈥?033 CrossRef
  30. Kim KJ, Moskowitz H, Dhingra A, Evans G (2000) Fuzzy multicriteria models for quality function deployment. Eur J Oper Res 121(3):504鈥?18 CrossRef
  31. Kwong CK, Bai H (2002) A fuzzy AHP approach to the determination of importance weighted of customer requirement in quality function deployment. J Intell Manuf 13(5):367鈥?77 CrossRef
  32. Lai X, Xie M, Tan KC (2005) Dynamic programming for QFD optimization. Qual Reliab Eng Int 21(8):769鈥?80 CrossRef
  33. Le Teno JF, Mareschal B (1998) An interval version of PROMETHEE for the comparison of building products鈥檇esign with ill-defined data on environmental quality. Eur J Oper Res 109(2):522鈥?29 CrossRef
  34. Leyya-Lopez JC, Fernandez-Gonzalez E (2003) A new method for group decision support based on ELECTRE III methodology. Eur J Oper Res 148(1):14鈥?7 CrossRef
  35. Liu CH, Wu HH (2008) A fuzzy group decision-making approach in quality function deployment. Qual Quant 42(4):527鈥?40 CrossRef
  36. Morais DC, De Almeida AT (2007) Group decision-making for leakage management strategy of water network. Resour Conserv Recycl 52(2):441鈥?59 CrossRef
  37. Mayyas A, Shen Q, Mayyas A, Abdelhamid M, Shan D, Qattawi A, Omar M (2011) Using quality function deployment and analytical hierarchy process for material selection of body-in-white. Mater Des, 2771鈥?782
  38. Raharjo H, Xie M, Brombacher AC (2006) Prioritizing quality characteristics in dynamic quality function deployment. Int J Prod Res 44(23):5005鈥?018 CrossRef
  39. Raju KS, Duckstein L, Arondel C (2000) Multicriterion analysis for sustainable water resources planning: a case study in Spain. Water Resour Manag 14(6):435鈥?56 CrossRef
  40. Reich Y, Levy E (2004) Managing product design quality under resource constraints. Int J Prod Res 42(13):2555鈥?572 CrossRef
  41. Roychowdhury S, Pedrycz W (2001) A survey of defuzzification strategies. Int J Intell Syst 16(6):679鈥?95 CrossRef
  42. Shen XX, Tan KC, Xie M (2000) An integrated approach to innovative product development using Kano_s model and QFD. Eur J Innov Manag 3(2):91鈥?9 CrossRef
  43. Tuzkaya G, Gulsun B, Kahraman C, Ozgen D (2010) An integrated fuzzy multi-criteria decision making methodology for material equipment selection problem and an application. Expert Syst Appl 37(4):2853鈥?863 CrossRef
  44. Vranegl S, Stanojevi M, Stevanovi V, Lui M (1996) INVEX: investment advisory expert system. Expert Syst 13(2):105鈥?19 CrossRef
  45. Wu HH, Liao AYH, Wang PC (2005) Using grey theory in quality function deployment to analyse dynamic customer requirements. Int J Adv Manuf Technol 25(11):1241鈥?247 CrossRef
  46. Xie M, Tan KC, Goh TN (2003) Advanced QFD application. ASQ Quality Press, Milwaulee
  47. Yan W, Khoo LP, Chen CH (2005) A QFD-enabled product conceptualisation approach via design knowledge hierarchy and RCE neural network. Knowl-Based Syst 18(6):279鈥?93 CrossRef
  
• 刊物类别：Engineering
• 刊物主题：Industrial and Production Engineering
  Production and Logistics
  Mechanical Engineering
  Computer-Aided Engineering and Design
  
• 出版者：Springer London
• ISSN：1433-3015

文摘

This paper provides a fuzzy Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) in a Group Decision Support System (GDSS) approach to ranking the technical requirements for the house of quality (HOQ) process in multi-criteria product design. The problem under study involves incorporating the design alternatives of a group of designers located in different geographies who often provide vague and imprecise linguistic design information to the HOQ process. As such, the proposed fuzzy PROMETHEE GDSS allows the quality function deployment (QFD) team of designers to minimize any deviation arising from the individual designer preferences and to capture the ambiguity of the imprecise design information when expressing the importance of customer needs and to delineate the linkage between customer needs and the technical requirements. The approach advances the HOQ group decision-making context in two important aspects. First, it treats each criterion and decision maker (DM) as unique in terms of the preference function and threshold levels. Second, it facilitates a rapid communication among DMs for the HOQ process. A case of a design team for an ergonomic chair manufacturer serves to validate this approach.