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Applying Interval Linguistic Variables on Project Evaluation of New Product Development

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Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013)

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Abstract

In recent years, the global financial storm causes the enterprises to face challenges more severely. To survive in the markets, the enterprises should provide the new products or services continuously to increase their competitiveness. However, the evaluation process of a new product development (NPD) project may face the uncertainties of technology and market in the future. It means that a NPD project will face the higher investment risk. To reduce development costs and risks, an effective evaluation model of the NPD project has become more important issue for enterprises. In this paper, a systematic evaluation model of new product development project is proposed by combining interval 2-tuple linguistic variables with multiple criteria decision making (MCDM). And then, a numerical example is implemented to illustrate the computation process of proposed model. Finally, the conclusion is provided at the end of this paper.

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References

  1. Schilling MA (2010) Strategic management of technological innovation. McGraw-Hill, Inc., New York

    Google Scholar 

  2. Barczak G, Griffin A, Kahn KB (2009) Perspective: trends and drivers of success in NPD practices: results of the 2003 PDMA best practices study. Prod Innov Manag 26:3–23

    Article  Google Scholar 

  3. Takeuchi H, Nonaka I (1986) The new product development game. Harv Bus Rev, January–February, 137–147

    Google Scholar 

  4. Slater SF (1993) Competing in high-velocity markets. Ind Mark Manag 2(4):255–263

    Article  Google Scholar 

  5. Gonzalez FJM, Palacios TMB (2002) The effect of new product development techniques on new product success in Spanish firms. Ind Mark Manag 31:261–271

    Article  Google Scholar 

  6. Bellman R, Zadeh LA (1970) Decision-making in a fuzzy environment. Manag Sci 17(4):141–164

    Article  Google Scholar 

  7. Ding J-F (2011) An integrated fuzzy topsis method for ranking alternatives and its application. J Mar Sci Technol 19(4):341–352

    Google Scholar 

  8. Yazgan RR (2011) Selection of dispatching rules with fuzzy ANP approach. J Adv Manuf Technol 52:651–667

    Article  Google Scholar 

  9. Vayvay O, Ozcan Y, Cruz-Cunha MM (2012) ERP consultant selection problem using AHP, fuzzy AHP and ANP: a case study in Turkey. E3 J Bus Manag Econ 3(3):106–117

    Google Scholar 

  10. Wang W-P (2009) Evaluating new product development performance by fuzzy linguistic computing. Expert Syst Appl 36:9759–9766

    Article  Google Scholar 

  11. Oliveira MG, Rozenfeld H (2010) Integrating technology roadmapping and portfolio management at the front-end of new product development. Technol Forecast Soc Chang 77:1339–1354

    Article  Google Scholar 

  12. Liu H-T (2011) Product design and selection using fuzzy QFD and fuzzy MCDM approaches. Appl Math Model 35:482–496

    Article  Google Scholar 

  13. Senthil S, Srirangacharyulu B, Ramesh A (2012) A decision making methodology for the selection of reverse logistics operating channels. Proced Eng 38:418–428

    Article  Google Scholar 

  14. Herrera F, Martinez L (2000) A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Trans Fuzzy Syst 8(6):746–752

    Article  Google Scholar 

  15. Chen C-T, Chen P-Y (2009) An evaluation model of innovation performance based on fuzzy interval linguistic variables. J Chin Inst Ind Eng 26(5):387–396

    Google Scholar 

  16. Tai W-S, Chen C-T (2009) A new evaluation model for intellectual capital based on computing with linguistic variable. Expert Syst Appl 36:3483–3488

    Article  Google Scholar 

Download references

Acknowledgments

This research is financially supported by the National Science Council of Taiwan (Grant No. NSC 101-2410-H-239-004-MY2).

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Authors and Affiliations

  1. Department of Information Management, National United University, Miao-Li, Taiwan, Republic of China

    Chen-tung Chen & P. C. Fu

  2. Department of International Business Studies, National Chi Nan University, Nan-Tou, Taiwan, Republic of China

    W. Z. Hung

Authors
  1. Chen-tung Chen
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  2. P. C. Fu
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  3. W. Z. Hung
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Corresponding author

Correspondence to Chen-tung Chen .

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Editors and Affiliations

  1. Industrial Engineering Institution of CM, Tianjin, People's Republic of China

    Ershi Qi

  2. Industrial Engineering Institution of CM, Tianjin, People's Republic of China

    Jiang Shen

  3. College of Management and Economics Industrial Engineering, Tianjin University, Tianjin, People's Republic of China

    Runliang Dou

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Chen, Ct., Fu, P.C., Hung, W.Z. (2014). Applying Interval Linguistic Variables on Project Evaluation of New Product Development. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40060-5_17

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