Improving Optical Lens Processing Parameter Design by Integrating AHP and TOPSIS

• Autorzy: Lin W.-T. , Wang S.-T. , Li M.-H. , Yeh J.-Y.

Warianty tytułu

PL

Poprawa procesu projektowania soczewek optycznych przez Integrację metod AHP i TOPSIS

• Języki publikacji: EN

Abstrakty

EN

Optical lenses are an integral component of optical information and optical-electric systems. Using PMMA (polymethyl methacrylate) as the material for making plastic optical lenses, this study integrated AHP (analytic hierarchy process), TOPSIS (technique for order preference by similarity to ideal solution) and the Taguchi quality engineering parameter design to find the optimization processing parameters that could provide effective control of the entire process. The results suggested that the proposed method could indeed achieve the optimized optical lens processing parameters.

PL

Do produkcji tworzyw sztucznych soczewek korzysta się z PMMA (polimetakrylan metylu) jako materiału. W artykule opisano proces optymalizacji projektowania i produkcji soczewek wykorzystujący model AHP (proces analityczny hierarchii) oraz TOPSIS (technika preferencji). Wyniki sugerują, że proponowana metoda rzeczywiście może osiągnąć optymalne parametry optyczne przetwarzanie obiektywu.

Słowa kluczowe

EN

PMMA; AHP method; TOPSIS method; optimization

PL

metoda AHP Analytic Hierarchy Process; metoda TOPSIS; soczewka optyczna

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 9b
• Strony: 59--61
• Opis fizyczny: Bibliogr. 10 poz., tab.

Twórcy

autor

Lin W.-T.

• National Chin-Yi University of Technology

autor

Wang S.-T.

• National Pingtung Institute of Commerce

autor

Li M.-H.

• Taiwan Shoufu University

autor

Yeh J.-Y.

• National Pingtung Institute of Commerce

Bibliografia

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• [4] Lee H.I., A fuzzy AHP evaluation model for buyer–supplier relationships with the consideration of benefits, opportunities, costs and risks, International Journal of Production Research, 47(2009), No. 15, 4255–4280.
• [5] Lin M.C., Wang C.C., Chen M.S., Chang C.A., Using AHP and TOPSIS approaches in customer-driven product design process, Computers in Industry, 59(2008), 17-31.
• [6] Tsao C. C., Prediction of thrust force of step drill in drilling composite material by Taguchi method and radial basis function network, Int. J. Mach. Tools Manuf., 36(2008), 11-18.
• [7] Chen J.K., Chen I.S. Using a novel conjunctive MCDM approach based on DEMATEL, fuzzy ANP, and TOPSIS as an innovation support system for Taiwanese higher education, Expert Systems with Applications, 37(2010), No. 3, 1981-1990.
• [8] Aggarwal A., Singh H., Kumar P., Singh M., Optimizing power consumption for CNC turned parts using response surface methodology and Taguchi''s technique—A comparative analysis, Journal of Materials Processing Technology, 200(2008), No. 1-3, 373-384.
• [9] Lee A.H.I., Chen W.C., Chan, C.J., A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan, Expert Systems with Applications, 34(2008), 96-107.
• [10] Chien Y.C., Kuo C.L., Hsin H.C., Lung K.P., Optimizing the TLD-100 readout system for various radiotherapy beam doses using the Taguchi methodology, Applied Radiation and Isotopes, 68(2010), No. 3, 481-488.