An intelligent estimation method for product design time

International Journal of Advanced Manufacturing Technology

Volumn 30, Issue 7-8, 2006, Pages 601-613

  Xu, D ^a   Yan, H S ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

Fuzzy measure; Fuzzy neural network; House of quality; Product design; Time estimation

Indexed keywords

CONFORMAL MAPPING; FUZZY SETS; INTELLIGENT CONTROL; PARAMETER ESTIMATION; PRODUCT DEVELOPMENT;

FUZZY MEASURE; FUZZY NEURAL NETWORKS; HOUSE OF QUALITY; TIME ESTIMATION;

PRODUCT DESIGN;

EID: 33748800989     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-005-0098-6     Document Type: Article

References (30)

1. DeMarco T (1998) Controlling software projects: management, measurement, and estimation. Yourdon, Englewood Cliffs, NJ, USA
2. Bashir HA, Thomson V (2001) Models for estimating design effort and time. Des Stud 22(2): 141-155
3. Griffin A (1997) Modeling and measuring product development cycle time across industries. J Eng Technol Manage 14 (1):1-24
4. Griffin A (1997) The effect of project and process characteristics on product development cycle time. J Mar Res 34(1):24-35
5. Jacome MF, Lapinskii V (1997) NREC: risk assessment and planning for complex designs. IEEE Des Test Comput 14 (1):42-49
6. Jahan-Shahi H, Shayan E, Masood SH (2001) Multivalued fuzzy sets in cost/time estimation of flat plate processing. Int J Adv Manuf Technol 17(10):751-759
7. Seo KK, Park JH, Jang DS, Wallace D (2002) Approximate estimation of the product life cycle cost using artificial neural networks in conceptual design. Int J Adv Manuf Technol 19 (6):461-471
8. Zirger BJ, Hartley JL (1994) A conceptual model of product development cycle time. J Eng Technol Manage 11 (3):229-251
9. Zirger BJ, Hartley JL (1996) The effect of acceleration techniques on product development time. IEEE Trans Eng Manage 43(2): 143-151
10. Ittner CD, Larcker DF (1997) Product development cycle time and organizational performance. J Mar Res 34(1): 13-23
11. Tatikonda MV, Rosenthal SR (2000) Technology novelty, project complexity, and product development project execution success: a deeper look at task uncertainty in product innovation. IEEE Trans Eng Manage 47(1):74-87
12. AH A, Krapfel RJ, LaBahn D (1995) Product innovativeness and entry strategy: impact on cycle time and break-even time. J Prod Innovat Manage 12(1):54-69
13. Prasad B (1998) Review of QFD and related deployment techniques. J Manuf Syst 17(3):221-234
14. Chan LK, Wu ML (2002) Quality function deployment: a literature review. Eur J Oper Res 143(3):463-497
15. Hauser JR, Clausing D (1988) The house of quality. Harvard Bus Rev 66(3):67-73
16. Cristiano JJ, Liker JK, White CC (2001) Key factors in the successful application of quality function deployment (QFD). IEEE Trans Eng Manage 48(1):81-95
17. Tsai YT, Chang YM (2004) Function-based cost estimation integrating quality function development to support system design. Int J Adv Manuf Technol 23(7):514-522
18. Chuang PT (2001) Combining the analytic hierarchy process and quality function deployment for a location decision from a requirement perspective. Int J Adv Manuf Technol 18(11):842-849
19. Temponi C, Yen J, Tiao WA (1999) House of quality: a fuzzy logic-based requirements analysis. Eur J Oper Res 117(2):340-354
20. Kim KJ, Moskowitz H, Dhingra A, Evans G (2000) Fuzzy multicriteria models for quality function deployment. Eur J Oper Res 121(3):504-518
21. Zhou M (1998) Fuzzy logic and optimization models for implementing QFD. Comput Ind Eng 35(2):237-240
22. Vanegas LV, Labib AW (2001) A fuzzy quality function deployment (FQFD) model for deriving optimum targets. Int J Prod Res 39(1):99-120
23. Dubois D, Prade H (1980) Fuzzy sets and systems, theory and applications, Academic Press, New York
24. Huang CY (1992) Design methodology (in Chinese). China Machine Press, Beijing
25. Suh NP (1990) The principles of design. Oxford University Press, London
26. Gupta MM, Rao DH (1994) On the principles of fuzzy neural networks. Fuzzy Sets Syst 61(1); 1-18
27. Takagi T, Sugeno M (1985) Fuzzy identification of systems and its application to modeling and control. IEEE Trans Syst Man Cybern 15(1): 116-132
28. Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. Plenum, New York
29. Howon C, Jordan JB (1992) On the optimal choice of parameters in a fuzzy C-means algorithm. In: IEEE International Conference on Fuzzy Systems, San Diego, California, March 1992, pp 349-353
30. Zhang LM (1993) Model and application of artificial neural network (in Chinese), Fudan University Press, Shanghai