QFD Based Evaluation of Automatic Meteorological Stations
Author:
Affiliation:
Fund Project:
摘要
|
圖/表
|
訪問統(tǒng)計
|
參考文獻
|
相似文獻
|
引證文獻
|
資源附件
|
文章評論
摘要:
將質(zhì)量功能展開(Quality Function Deployment,QFD)方法引入到自動氣象站運行質(zhì)量測評研究中,建立了觀測員對自動氣象站運行滿意度測評質(zhì)量功能展開模型,通過兩個階段的質(zhì)量屋結(jié)構(gòu)將觀測員對自動氣象站運行質(zhì)量逐步展開為觀測員所關(guān)注的具體細節(jié),該模型不但可以幫助自動站設(shè)計人員、業(yè)務(wù)管理人員、技術(shù)保障人員及測報員直觀了解自動氣象站運行現(xiàn)狀,而且為提高自動氣象站運行質(zhì)量指明了需要改進的技術(shù)和方法。
Abstract:
The observer satisfaction model of AWS (automatic weather station) measurement is set up by using QFD (Quality Function Deployment), which is an evaluation tool for AWS quality research. The satisfaction degree of observers for AWS is expanded into some details that concern observers through a two stage quality house. The evaluation helps not only AWS designers, and technicians directly know about AWS operation status, but also understand its weak points so to find solutions.