An Integrated Evaluation Model for New Product Development in Light-Emitting Diode Plant Lighting Industry

Abstract:

This study would create a decision making model for new product development (NPD) in light-emitting diode (LED) plant lighting industry. At first literature reviews and expert interviews will be employed to list five perspectives and 19 criteria thereof. A fuzzy Delphi method (FDM) will be then used to screen factors for the criteria. An interpretive structural model (ISM) will be managed to get the relationships among the perspectives and among the criteria. A fuzzy analytic network process (FANP) will be finally manipulated to compute the weights of all criteria. Results of the study will provide an assessment model of NPD decision making for LED plant lighting industry.

• Periodical: Advanced Materials Research (Volumes 690-693)
• Pages: 577-581
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.690-693.577
• Online since: May 2013
• Authors: Wen Chin Chen, Li Yi Wang, Hui Pin Chang
• Keywords: FANP, FDM, ISM, LED Plant Lighting Industry, NPD

References

[1] A.H.I. Lee, C.Y Lin: An integrated fuzzy QFD framework for new product development, Flex Serv Manuf J. Vol. 23 (2011), pp.26-47

DOI: 10.1007/s10696-011-9076-5

[2] A.H.I. Lee, H.H. Chen, H.Y. Kang: A model to analyze strategic products for photovoltaic silicon thin-film solar cell power industry, Renew. Sust. Energ. Rev. Vol. 15 (2011), pp.1271-1283

DOI: 10.1016/j.rser.2010.10.008

[3] A.H.I. Lee, W.M. Wang, T.Y. Lin: An evaluation framework for technology transfer of new equipment in high technology industry, Technol. Forecast. Soc. Vol. 77 (2010), pp.135-150

[4] A. Ishikawa, T. Amagasa, G. Tamizawa, R. Totsuta, H. Mieno: The Max-Min Delphi Method and Fuzzy Delphi Method via Fuzzy Integration, Fuzzy Sets Sys. Vol. 55 (1993), pp.241-253

DOI: 10.1016/0165-0114(93)90251-c

[5] A. Suthaparan, S. Torre, A. Stensvand, M.L. Herrero, R.I. Petterson, D.M. Gadoury, H.R. Gislerod: Specific light-emitting diodes can suppress sporulation of podosphaera pannosa on greenhouse roses, APS J. Vol. 94 (2010), pp.1105-1110

DOI: 10.1094/pdis-94-9-1105

[6] C.H. Cheng: Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function, Euro. J. Oper. Res. Vol. 96 (1996), pp.343-350

DOI: 10.1016/s0377-2217(96)00026-4

[7] C.S. Brown,  A.C. Schuerger,  J.C. Sager: Growth and photomorphogenesis of pepper plants under red light-emitting diodes with supplemental blue or far-red lighting, J. Amer. Soc. Hort. Sci. Vol. 120 (1995), p.808–813

DOI: 10.21273/jashs.120.5.808

[8] E.S. Lee, R.L. Li: Comparison of fuzzy numbers based on the probability measure of fuzzy events, Comput. Math. App. Vol. 15 (1988), pp.887-896

DOI: 10.1016/0898-1221(88)90124-1

[9] G. Samuolienė, R. Sirtautas, A. Brazaitytė, J. Sakalauskaitė, S. Sakalauskienė, P. Duchovskis: The impact of red and blue light-emitting diode illumination on radish physiological indices, CEJB Vol. 6 (5) (2011), pp.821-828

DOI: 10.2478/s11535-011-0059-z

[10] H.C. Wu, C.C. Lin: Red light-emitting diode light irradiation improves root and leaf formation in difficult-to-propagate protea synaroides L. Plantlets in Vitro, HortScience Vol. 47(10) (2012), pp.1490-1494

DOI: 10.21273/hortsci.47.10.1490

[11] J. N. Warfield: Societal Systems Planning, Policy and Complexity (Wiley, New York 1976).

[12] M. A. B. Promentilla, T. Furuichi, K. Ishii, N. Tanikawa: A Fuzzy Analytic Network Process for Multi-Criteria Evaluation of Contaminated Site Remedial Countermeasures, J. Environ. Manage. Vol. 88(3) (2007), pp.479-495

DOI: 10.1016/j.jenvman.2007.03.013

[13] M. Johkan, K. Shoji, F. Goto, S. N. Hashida, T. Yoshihara: Blue light-emitting diode light irradiation of seedlings improves seedling quality and growth after transplanting in red leaf lettuce, HortScience Vol. 45(12) (2010), pp.1809-1814

DOI: 10.21273/hortsci.45.12.1809

[14] M. Selvkli, A. Oztekin, O. Uysal, G. Torlak, A. Turkyilmaz, D. Delen: Development of a Fuzzy ANP based SWOT Analysis for the Airline Industry in Turkey, Expert Syst. Appl. 39 (2012), pp.14-24

DOI: 10.1016/j.eswa.2011.06.047

[15] N. Lu, T. Maruo, M. Johkan, M. Hohjo, S. Tsukagoshi, Y. Ito, T. Ichimura, Y. Shinohara: Effects of Supplemental Lighting with Light-Emitting Diodes(LEDs) on Tomato Yield and Quality of Single-Truss Tomato Plants Grown at High Plant Density, Environ. Control Biology Vol. 50(1) (2012), pp.63-74

DOI: 10.2525/ecb.50.63

[16] Sanjay, Bhattacharya, K. Momaya: Interpretive Structural Modeling of Growth Enablers in Construction Companies, Singapore Manag. Rev. Vol. 31 (1) (2009), pp.73-97

[17] S.W. Hogewoning, G., Trouwborst, H. Maljaars, H. Poorter, W.van leperen, J. Harbinson: Blue light dose-responses of leaf photosynthesis, morphology, and chemical composition of cucumis sativus grown under different combinations of red and blue light, J. Exper. Botany Vol. 61(11) (2010), pp.3107-3117

DOI: 10.1093/jxb/erq132

[18] T.J. Marion, J.H. Friar, T.W. Simpson: New Product Development Practices and Early-Stage Firms: Two In-Depth Case Studies, J. Prod. Innovat. Manag. Vol. 29(4) (2012), p.639–654

DOI: 10.1111/j.1540-5885.2012.00930.x

[19] T. L. Saaty: Decision Making With Dependence and Feedback: The Analytic Network Process (RWS Publication, Pittsburgh 1996).

[20] W.C. Chen, H.P. Chang: The Application of Fuzzy ANP in the Development of New Product Decision-making - a case study of the solar module industry, Advan. Mater. Res. Vol. 472-475 (2012), pp.1333-1338

DOI: 10.4028/www.scientific.net/amr.472-475.1333

[21] W. M. Wang, H.I. Lee, L.P. Peng, Z.L. Wu: An integrated decision making model for district revitalization and regeneration project selection, Decis. Support Syst. Vol. 54(2) (2013), pp.1092-1103

DOI: 10.1016/j.dss.2012.10.035

[22] Y.C. Shen, G.T.R. Lin, G.H. Tzeng: Combined DEMATEL techniques with novel MCDM for the organic light emitting diode technology selection, Expert Syst. Appl. Vol. 38 (2011), pp.1468-1481

DOI: 10.1016/j.eswa.2010.07.056