A fuzzy ANP-based approach to R&D project selection: A case study

References

• Bard , J.F. 1988 . An interactive approach to R&D project selection and termination. . IEEE Transactions on Engineering Management , 35 : 135 – 146 .
   Web of Science ®Google Scholar
• Bozdag , C.E. , Kahraman , C. and Ruan , D. 2003 . Fuzzy group decision making for selection among computer integrated manufacturing systems . Computers in Industry , 51 : 13 – 29 .
   Web of Science ®Google Scholar
• Brenner , M.S. 1994 . Practical R&D project prioritization . Research Technology Management , 28 : 38 – 42 .
   Web of Science ®Google Scholar
• Büyüközkan , G. , Kahraman , C. and Ruan , D. 2004a . A fuzzy multi-criteria decision approach for software development strategy selection . International Journal of General Systems , 33 : 259 – 280 .
   Web of Science ®Google Scholar
• Büyüközkan , G. , Tijen , E. , Cengiz , K. and Da , R. 2004b . Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach . International Journal of Intelligent Systems , 19 : 443 – 461 .
   Web of Science ®Google Scholar
• Chan , D.Y. 1996 . Application of extent analysis method in fuzzy AHP . European Journal of Operation Research , 95 : 649 – 655 .
   Web of Science ®Google Scholar
• Chan , F.T.S. , Chan , H.K. and Chan , M.H. 2003 . An integrated fuzzy decision support system for multi-criterion decision making problems . Institution of Mechanical Engineers Journal of Engineering Manufacture , 217 : 11 – 27 .
   Web of Science ®Google Scholar
• Choobineh , F. and Li , H. 1993 . An index for ordering fuzzy numbers . Fuzzy Sets and Systems , 54 : 287 – 294 .
   Web of Science ®Google Scholar
• Chui , Y.C. and Chan , S.P. 1994 . Fuzzy cash flow analysis using present worth criterion . Engineering Economist , 39 : 113 – 138 .
   Google Scholar
• Chung , S.H. , Lee , A.H. and Pearn , W.L. 2005 . Product mix optimization for semiconductor manufacturing based on AHP and ANP analysis . The International Journal of Advanced Manufacturing Technology , 25 : 1144 – 1156 .
   Web of Science ®Google Scholar
• Dong , W.M. and Wong , F.S. 1987 . Fuzzy weighted average and implementation of the extension principle . Fuzzy Sets and Systems , 21 : 183 – 99 .
   Web of Science ®Google Scholar
• Emblemsvåg , J. and Tonning , L. 2003 . Decision support in selecting maintenance organization . Journal of Quality in Maintenance Engineering , 9 : 11 – 24 .
   Google Scholar
• Ghasemzadeh , F. and Archer , N.P. 2000 . Project portfolio selection through decision support . Decision Support Systems , 29 : 73 – 88 .
   Web of Science ®Google Scholar
• Golabi , K. 1987 . Selecting a group of dissimilar projects for funding . IEEE Transactions on Engineering Management , 34 : 138 – 145 .
   Web of Science ®Google Scholar
• Henriksen , A.D. and Traynor , A.J. 1999 . A practical R&D project-selection scoring tool . IEEE Transactions on Engineering Management , 46 : 158 – 170 .
   Web of Science ®Google Scholar
• Hess , S.W. 1993 . Swinging on the branch of a tree: project selection applications . Interfaces , 23 : 5 – 12 .
   Web of Science ®Google Scholar
• Ibbs , C.W. and Kwak , Y.H. 2000 . Assessing project management maturity . Project Management Journal , 1 : 32 – 43 .
   Google Scholar
• Iyigun , M.G. 1993 . A decision support system for R&D project selection and resource allocation under uncertainty . Project Management Journal , 24 : 5 – 13 .
   Google Scholar
• Jhu , K.J. , Jing , Y. and Chang , D.Y. 1999 . A discussion on extent analysis method and applications of fuzzy AHP . European Journal of Operational Research , 116 : 450 – 459 .
   Web of Science ®Google Scholar
• Kahraman , C. , Cebeci , U. and Ruan , D. 2004 . Multi-attribute comparison of catering service companies using fuzzy AHP: the case of Turkey . International Journal of Production Economics , 87 : 171 – 184 .
   Web of Science ®Google Scholar
• Karsak , E.E. , Sozer , S. and Alpteki , S.E. 2002 . Product planning in quality function deployment using a combined analytic network process and goal programming approach . Computers & Industrial Engineering , 44 : 171 – 190 .
   Web of Science ®Google Scholar
• Kaufmann , A. and Gupta , M.M. 1988 . Fuzzy Mathematical Model in Engineering and Management Science , Amsterdam : Elsevier .
   Google Scholar
• Klapka , J. and Pinos , P. 2002 . Decision support system for multicriterial R&D and information systems projects selection . European Journal of Operational Research , 140 : 434 – 446 .
   Web of Science ®Google Scholar
• Kwang , C.K. and Bai , B. 2002 . Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach . IIE Transactions , 35 : 619 – 626 .
   Web of Science ®Google Scholar
• Lawson , C.P. , Longhurst , P.J. and Ivey , P.C. 2004 . The application of a new research and development project selection model in SMEs . Technovation , 25 : 1 – 9 .
   Google Scholar
• Lee , J.W. and Kim , S.H. 2000 . Using analytic network process and goal programming for interdependent information system project selection . Computers & Operations Research , 27 : 367 – 382 .
   Web of Science ®Google Scholar
• Lefley , F. and Sarkis , J. 2005 . Applying the FAP model to the evaluation of strategic information technology projects . International Journal of Enterprise Information Systems , 1 : 69 – 90 .
   Google Scholar
• Liang , G.S. and Wang , M.J. 1991 . A fuzzy multi criterion decision making for facility site selection . International Journal of Production Research , 29 : 2313 – 2330 .
   Web of Science ®Google Scholar
• Liberatore , M.J. 1988a . A decision support system linking research and development project selection with business strategy . Project Management Journal , 19 : 14 – 21 .
   Google Scholar
• Liberatore , M.J. 1988b . An expert system for R&D project selection . Mathematical Computer Modeling , 11 : 260 – 265 .
   Google Scholar
• Liberatore , M.J. and Stylianou , A.C. 1995 . Expert support systems for new product development decision-making: a modeling framework and applications . Management Science , 41
   Web of Science ®Google Scholar
• Lopez , M.D.S. and Flavell , R. 1998 . Project appraisal—a framework to assess non-financial aspects of projects during the project life cycle . International Journal of Project Management , 16 : 223 – 233 .
   Google Scholar
• Martino , J.P. 1995 . Research and Development Project Selection , New York : Wily–Interscience .
   Google Scholar
• Meade , L.A. and Presley , A . 2002 . R&D project selection using ANP . IEEE Transactions on Engineering Management , 49
   Web of Science ®Google Scholar
• Osawa , Y. and Murakami , M. 2002 . Development and application of a new methodology of evaluating industrial R&D projects . R&D Management , 32 : 22 – 31 .
   Web of Science ®Google Scholar
• Payne , J.H. 1995 . Management of multiple simultaneous projects: a state of the art review . International Journal of Project Management , 13 : 163 – 168 .
   Google Scholar
• Prabhu , T.R. and Vijayakumar , K. 1996 . Fuzzy hierarchical decision making method (FHDM): a methodology for technology choice . International Journal of Computer Application Technology , 9 : 322 – 329 .
   Google Scholar
• Ringuest , J.L. , Graves , S.B. and Case , R.H. 2000 . Conditional stochastic dominance in R&D portfolio selection . IEEE Transactions on Engineering Management , 47 : 478 – 484 .
   Web of Science ®Google Scholar
• Ringuest , J.L. , Graves , S.B. and Case , R.H. 2004 . Mean-Gini analysis in R&D portfolio selection . European Journal of Operational Research , 154 : 157 – 169 .
   Web of Science ®Google Scholar
• Rzasa , P.V. , Faulkner , T.W. and Sousa , V.L. 1990 . Analyzing R&D portfolios at Eastman Kodak . Research Technology Management , 33 : 27 – 32 .
   Web of Science ®Google Scholar
• Saaty , T.L. 1980 . The Analytic Hierarchy Process , New York : McGraw-Hill .
   Google Scholar
• Saaty , T.L. 1996 . “ Decision Making with Dependence and Feedback ” . In the Analytic Hierarchy Process , Pittsburgh, PA : RS Publications .
   Google Scholar
• Saaty , T.L. and Takiawz , M. 1986 . Dependence/interdependence from linear hierarchies to non-linear network . European Journal of Operational Research , 26 : 229 – 237 .
   Web of Science ®Google Scholar
• Stewart , T.J. 1991 . A multi criteria decision support system for R&D project selection . Journal of Operational Research Society , 42 : 17 – 26 .
   Web of Science ®Google Scholar
• Tian , Q. , Jian , M.A , Cleve , J.L. , Ron , C. , Kwok , W. , Liu , O. and Zhang , Q. 2002a . An Organizational Decision Support Approach to R&D Project Selection . Proceedings of the 35th Hawaii International Conference on System Sciences . 2002a .
   Google Scholar
• Tian , Q. , Jian , M. , Liang , J. , Kowk , R , Liu , O. and Quan , Z. 2002b . An organizational decision support approach to R&D project selection . the 35th Hawaii International Conference on Information and System Sciences Hawaii . 2002b .
   Google Scholar
• Tian , Q.J. , Ma , J. and Liu , O. 2002c . A hybrid knowledge and model system for R&D project selection . Expert Systems with Applications , 23 : 265 – 271 .
   Web of Science ®Google Scholar
• Tiana , Q. , Ma , J. and Liu , O. 2005a . A hybrid knowledge and model system for R&D project selection . Expert Systems with Applications , (in press)
   Google Scholar
• Tiana , Q. , Maa , J. , Lianga , J.R. , Kwoka , C.W. and Liua , O. 2005b . An organizational decision support system for effective R&D project selection . Decision Support Systems , 39 : 403 – 413 .
   Web of Science ®Google Scholar
• Tran , L.T.C. , Knight , G. , O’Neill , R.V. and Smith , E.R. 2004 . Integrated environmental assessment of the mid-Atlantic region with analytical network process . Environmental Monitoring and Assessment , 94 : 11 – 24 .
   Web of Science ®Google Scholar
• Turner , J.R. and Cochrane , R.A. 1993 . Goals and methods matrix: coping with projects with ill-defined goals and/or methods of achieving them . International Journal of Project Management , 11 : 93 – 102 .
   Google Scholar
• William , F.J. and Young , H.K. 2003 . In search of innovative techniques to evaluate pharmaceutical R&D projects . Technovation , 23 : 291 – 296 .
   Web of Science ®Google Scholar
• Zadeh , L. 1965 . Information and Control , 8 : 338 – 358 .
   Web of Science ®Google Scholar
• Zadeh , L. 1976 . A fuzzy-algorithmic approach to the definition of complex or imprecise concepts . International Journal of Man–Machine Studies , 8 : 249 – 291 .
   Google Scholar
• Zimmermann , H.J. 1996 . Fuzzy Set Theory and its Applications , 3rd ed , Boston, MA : Kluwer .
   Google Scholar
• Corresponding author. Email: [email protected]
   Google Scholar