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Performance Evaluation of Fabless CMOS Image Sensor Design Houses by Using an Multiple Objective Programming Based Data Envelopment Analysis

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Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
PL
Ocena właściwości i projektowanie czujnika obrazu CMOS z wykorzystaniem algorytmu DEA
Języki publikacji
EN
Abstrakty
EN
Complementary Metal Oxide Semiconductor (CMOS) image sensors have widely been used due to the advantages in terms of low power consumption, on-chip signal processing capability, and a comparatively low cost. The market research institutes predicted that the demand for CMOS image sensors will dramatically increase over the next few years. Although the demand continues to increase, the market is becoming daily competitive. Thus, operating efficiently will be very critical for CMOS image sensor vendors to sustain competitiveness. The fabless CMOS image sensor design is one of the fast emerging and most important sectors of the CMOS image sensor industry. Understanding the efficiency of fabless CMOS image sensor design houses is critical for managers of the fabless CMOS image sensor design houses, semiconductor foundries as well as investors. Albeit critical, very few scholars tried to evaluate the performance of the fabless CMOS image sensor vendors. Thus, this paper aims to evaluate the productivity and efficiency of CMOS image sensor firms. A novel Multiple Objectives Programming based Data Envelopment Analysis (DEA) model will be introduced for benchmarking the firms.
PL
Opisano projektowanie czujnika obrazu CMOS. Wprowadzono nowy algorytm DEA (data envelopment analysis) do oprogramowania MOP (multiple objective programming).
Rocznik
Strony
289--293
Opis fizyczny
Bibliogr. 19 poz., tab.
Twórcy
autor
  • Graduate Institute of Management, National Taiwan Normal University
autor
  • Department of Industrial Education, National Taiwan Normal University, No. 162, Sec. 1, He-ping E. Rd., Taipei 10610, Taiwan
Bibliografia
  • [1] Gamal A.E., Eltoukhy H., CMOS Image Sensors: An Introduction to the Technology, Design, and Performance Limits, Presenting Recent Developments and Future Directions, IEEE Circuits and Devices Magazine, May/June (2005) 6-20.
  • [2] Li Y., Degerli Y., Besancon M., Besson A., Claus G., Deptuch G., Dulinski W., Fourches N., Goffe M., Himmi A., Lutz P., Orsini F., Szelezniak M., CMOS Sensors for the Vertex Detector of the Future International Linear Collider, Nuclear Instruments and Methods in Physical Research, 572 (2007), No. 1, 300-304.
  • [3] Bigas M., Cabruja E., Forest J., Salvi J., Review of CMOS Image Sensors, Microelectronics Journal, 37 (2006), No. 5, 433-451.
  • [4] Han S.-W., Yoon E., Area-efficient Correlated Double Sampling Scheme with Single Sampling Capacitor for CMOS Image Sensors, Electronics Letters 42 (2006), No. 6, 335-336.
  • [5] Theuwissen A.J.P., CMOS Image Sensors: State-of-the-art, Solid-State Electronics, 52 (2008), No. 9, 1401-1406.
  • [6] Hafiane M.L., Wagner W., Dibi Z., Manck O., Analysis and Estimation of NEP and DR in CMOS TOF-3D Image Sensor Based on MDSI, Sensors and Actuators A: Physical, 169 (2011) 66-73.
  • [7] Sakawa M., Yano H., Interactive Decision Making for Multi-Objective Linear Fractional Programming Problems with Parameters, Cybernetics and Systems: An International Journal, 16 (1985), No. 4, 377-394.
  • [8] Sakawa M., Yumine T., Interactive Fuzzy Decision-making for Multi-objective Linear Fractional Programming Problems, Large Scale Systems, 5 (1983) 105-114.
  • [9] Cooper W.W., Seiford L.M., Tone K., Data Envelopment Analysis: A Comprehensive Text with Models, Applications, Reference and DEA-Solver Software, Second ed. Springer Science, New York, (2007).
  • [10] Yang T., Kao C., A Hierarchical AHP/DEA Methodology for the Facilities Layout Design Problem, European Journal of Operational Research, 147 (2003), No. 1, 128-136.
  • [11] Charnes A., Cooper W.W., Rhodes E., Measuring the Efficiency of Decision Making Units, European Journal of Operational Research, 2 (1978) 429-444.
  • [12] Banker R.D., Charnes A., Cooper W.W., Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Management Science, 30 (1984) , No. 9, 1078-1092.
  • [13] Chiang C.I., Tzeng G.H., A New Efficiency Measure for DEA: Efficiency Achievement Measure Established on Fuzzy Multiple Objectives Programming, Journal of Management, 17 (2000) 369-388.
  • [14] Yu J.R., Tzeng G.H., Chiang C.I., Raw Material Supplier Rating in the Semiconductor Manufacturing Industry through Fuzzy Multiple Objective Programming to DEA, International Journal of Quantitative Management, 13 (2007), No.4, 101-111.
  • [15] Charnes A., Clark T., Cooper W.W., Golany B., A Developmental Study of Data Envelopment Analysis in Measuring the Efficiency of Maintenance Units in the US Air Force, Annals of Operations Research, 2 (1985), No. 1, 95-112.
  • [16] Sakawa M., Yumine T., Interactive Fuzzy Decision-making for Multi-objective Linear Fractional Programming Problems, Large Scale Systems, 5 (1983) 105-114.
  • [17] Zimmermann H.J., Fuzzy Programming and Linear Programming with Several Objective Functions. Fuzzy Sets and Systems, 1 (1978), No. 1, 45-55.
  • [18] PixArt. Annual Reports. http://www.pixart.com.tw/investor.asp.
  • [19] OmniVision. Annual Reports. http://www.ovt.com/investors.php
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9cc224c1-3786-462d-a3f5-d65637058487
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