Erratum to "Impact of tactical and operational policies in the selection of a new product portfolio" [Comput. Chem. Eng. 32 (2008) 307-819] (DOI:10.1016/j.compchemeng.2007.03.024);Impact of tactical and operational policies in the selection of a new product portfolio

Computers and Chemical Engineering

Volumn 32, Issue 1-2, 2008, Pages 307-319

  Zapata, Juan Camilo ^a   Varma, Vishal A ^b   Reklaitis, G V ^a  

^a PURDUE UNIVERSITY   (United States)

^b AIR PRODUCTS AND CHEMICALS INC   (United States)

Author keywords

Discrete event simulation; Efficient frontier; New product development; Portfolio management; Risk; Sim Opt; Strategic; Tactical and operational decisions

Indexed keywords

DECISION SUPPORT SYSTEMS; DECOMPOSITION; DISCRETE EVENT SIMULATION; DRUG PRODUCTS; HIERARCHICAL SYSTEMS; LAW ENFORCEMENT; MARKETING; PROBABILITY DISTRIBUTIONS;

EFFICIENT FRONTIER; NEW PRODUCT DEVELOPMENT; PORTFOLIO MANAGEMENT;

PRODUCT DEVELOPMENT;

DECISION SUPPORT SYSTEMS; DECOMPOSITION; DISCRETE EVENT SIMULATION; DRUG PRODUCTS; HIERARCHICAL SYSTEMS; LAW ENFORCEMENT; MARKETING; PROBABILITY DISTRIBUTIONS; PRODUCT DEVELOPMENT;

EID: 35548991785     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2008.09.001     Document Type: Erratum

References (36)

1. Anderson E.G., and Joglekar N.R. A hierarchical product development planning framework. Production and Operations Management 14 3 (2005) 344-361
2. Baker N.R. R&D Project Selection Models-Assessment. R&D Management 5 (1975) 105-111
3. Blau G.E., Pekny J.F., Varma V.A., and Bunch P.R. Managing a portfolio of interdependent new product candidates in the pharmaceutical industry. Journal of Product Innovation Management 21 4 (2004) 227-245
4. Buyukozkan G., and Feyzioglu O. A fuzzy-logic-based decision-making approach for new product development. International Journal of Production Economics 90 1 (2004) 27-45
5. Calantone R.J., Di Benedetto C.A., and Schmidt J.B. Using the analytic hierarchy process in new product screening. Journal of Product Innovation Management 16 1 (1999) 65-76
6. Chapman C.B., and Ward S. Managing project risk and uncertainty: A constructively simple approach to decision making (2002), Wiley
7. Coffin M.A., and Taylor B.W. R and D project selection and scheduling with a filtered beam search approach. IIE Transactions 28 2 (1996) 167-176
8. Coldrick S., Longhurst P., Ivey P., and Hannis J. An R&D options selection model for investment decisions. Technovation 25 3 (2005) 185-193
9. Cooper R.G., Edgett S.J., and Kleinschmidt E.J. New product portfolio management: Practices and performance. Journal of Product Innovation Management 16 4 (1999) 333-351
10. Copeland T.E., and Antikarov V. Real options: A practitioner's guide (2001), Texere, New York
11. DiMasi J.A., Hansen R.W., and Grabowski H.G. The price of innovation: New estimates of drug development costs. Journal of Health Economics 22 2 (2003) 151-185
12. Ding M., and Eliashberg J. Structuring the new product development pipeline. Management Science 48 3 (2002) 343-363
13. Eilat H., Golany B., and Shtub A. Constructing and evaluating balanced portfolios of R&D projects with interactions: A DEA based methodology. European Journal of Operational Research 172 3 (2006) 1018-1039
14. Fu M.C. Optimization for simulation: Theory versus practice. INFORMS Journal on Computing 14 3 (2002) 192-215
15. Hans E.W., Herroelen W., Leus R., and Wullink G. A hierarchical approach to multi-project planning under uncertainty. Omega 35 5 (2007) 563-577
16. Honkomp, S. J. (1998). Solving mathematical programming planning models subject to stochastic task success. PhD, Purdue University, West Lafayette, IN.
17. Jacob W.F., and Kwak Y.H. In search of innovative techniques to evaluate pharmaceutical R&D projects. Technovation 23 4 (2003) 291-296
18. Jain V., and Grossmann I.E. Resource-constrained scheduling of tests in new product development. Industrial and Engineering Chemistry Research 38 8 (1999) 3013-3026
19. Kolisch R., Meyer K., and Mohr R. Maximizing R&D portfolio value. Research-Technology Management 48 3 (2005) 33-39
20. Lin C.H., and Hsieh P.J. A fuzzy decision support system for strategic portfolio management. Decision Support Systems 38 3 (2004) 383-398
21. Lin C.H., Tan B., and Hsieh P.J. Application of the fuzzy weighted average in strategic portfolio management. Decision Sciences 36 3 (2005) 489-511
22. Loch C.H., and Bode-Greuel K. Evaluating growth options as sources of value for pharmaceutical research projects. R&D Management 31 2 (2001) 231-248
23. Luenberger D.G. Investment science (1998), Oxford University Press, New York
24. Maravelias C.T., and Grossmann I.E. Optimal resource investment and scheduling of tests for new product development. Computers and Chemical Engineering 28 6-7 (2004) 1021-1038
25. Newton D.P., Paxson D.A., and Widdicks M. Real R&D options. International Journal of Management Reviews 5-6 2 (2004) 113-130
26. Nutt P.C. How decision makers evaluate alternatives and the influence of complexity. Management Science 44 8 (1998) 1148-1166
27. Poh K.L., Ang B.W., and Bai F. A comparative analysis of R&D project evaluation methods. R&D Management 31 1 (2001) 63-75
28. Rajapakse A., Titchener-Hooker N.J., and Farid S.S. Modeling of the biopharmaceutical drug development pathway and portfolio management. Computers and Chemical Engineering 29 6 SPEC ISS (2005) 1357-1368
29. Rogers M.J., Gupta A., and Maranas C.D. Real options based analysis of optimal pharmaceutical research and development portfolios. Industrial and Engineering Chemistry Research 41 25 (2002) 6607-6620
30. Roussel P.A., Saad K.N., and Erickson T.J. Third generation R&D: Managing the link to corporate strategy (1991), Harvard Business School Press, Boston, Mass
31. Santiago L.P., and Bifano T.G. Management of R&D projects under uncertainty: A multidimensional approach to managerial flexibility. IEEE Transactions on Engineering Management 52 2 (2005) 269-280
32. Subramanian D., Pekny J.F., and Reklaitis G.V. A simulation-optimization framework for research and development pipeline management. AIChE Journal 47 10 (2001) 2226-2242
33. Subramanian D., Pekny J.F., Reklaitis G.V., and Blau G.E. Simulation-optimization framework for stochastic optimization of R and D pipeline management. AIChE Journal 49 1 (2003) 96-112
34. Thieme R.J., Song M., and Calantone R.J. Artificial neural network decision support systems for new product development project selection. Journal of Marketing Research 37 4 (2000) 499-507
35. Varma, V. (2005). Development of computational models for strategic and tactical management of pharmaceutical R&D pipelines. PhD, Purdue University, West Lafayette, IN.
36. Wan X., Pekny J.F., and Reklaitis G.V. Simulation based optimization for risk management in multi-stage capacity expansion. Computer-aided chemical engineering, 16th European symposium on computer aided process engineering and ninth international symposium on process systems engineering, vol. 21 (2006)