English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 55178/89446 (62%)
造訪人次 : 10661661      線上人數 : 37
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/99085

    題名: Using modified grey forecasting models to forecast the growth trends of green materials
    作者: Tsai, Sang-Bing;Lee, Yu-Cheng;Guo, Jiann-Jong
    貢獻者: 淡江大學中國大陸研究所
    關鍵詞: Forecasting;grey system theory;grey model(1,1);non-linear grey Bernoulli model(1,1);grey Verhulst model;production research;small data set;green corporate social responsibility
    日期: 2014-06
    上傳時間: 2014-10-13 14:57:54 (UTC+8)
    出版者: London: Sage Publications Ltd.
    摘要: The use of green materials reflects the notion that production materials should generate minimal environmental pollution through various efforts, including the design and development of low-pollution materials, innovation and improvement of low-pollution manufacturing processes, and recycling and reuse of materials. The development of green materials is an important part of corporate social responsibility. Companies need to use resources legitimately and have environmental protection responsibility. Forecasting the growth trends of green copper clad laminate material is crucial for manufacturers of printed circuit boards and green copper clad laminates. The main purpose of this study was to forecast the growth trends of green electronic materials. The industry sample investigated in this study only numbered 14. Because of the limited sample of historical data, the data distribution did not exhibit a normal distribution. Prediction methods for large data sets were not suitable for this study. Thus, three grey forecasting models (i.e. the grey model(1,1), non-linear grey Bernoulli model(1,1), and grey Verhulst model) were adopted for theoretical derivation and scientific verification. The results yielded by these methods were compared with the results of regression analysis to verify the forecasting accuracy and suitability of the three methods. The results indicated that for small data sets, the forecasting accuracy of the non-linear grey Bernoulli model(1,1) and grey Verhulst model was superior to that of the original grey model(1,1) as well as the regression analysis method.
    關聯: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 228(6), pp.931-940
    DOI: 10.1177/0954405413509079
    顯示於類別:[中國大陸研究所] 期刊論文


    檔案 描述 大小格式瀏覽次數



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋