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外文翻譯--生產(chǎn)制造過程中對于環(huán)境有利的改進方法-全文預覽

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【正文】 是把不同語言與文化背景的專家通過智能合作軟件融合為一體。這項工作的目的是提供一個采用循證醫(yī)學的建立評價模型的問題。這些狀況導致企業(yè)基礎(chǔ)數(shù)據(jù)的實用性和準確性差,無法起到為企業(yè) 上層提供可靠的決策支持作用。 : 目前,國內(nèi)外眾多軟件商在中國投入的軟件系統(tǒng)大多集中在 CAD、 CAPP、 CAM、PDM、 ERP 等熱門軟件上,而工作研究軟件的投入與開發(fā)卻寥寥無幾。企業(yè)對基礎(chǔ)數(shù)據(jù)準確性、及時性和標準化的要求與基礎(chǔ)數(shù)據(jù)傳統(tǒng)經(jīng)驗獲取手段之間的矛盾已經(jīng)日益突出。 CAWS 系統(tǒng)能夠為企業(yè)采取科學的作業(yè)流程、方法和制定可靠的時間標準、勞動定額提供輔助決策;不但實現(xiàn)工作研究各個應用領(lǐng)域的計算機化,而且能夠與其他生產(chǎn)系統(tǒng)高度集成,從而為企業(yè)實施方法研究和工時制定提供可靠的技術(shù)支持,提高企業(yè)基礎(chǔ)數(shù)據(jù)的準確性及其采集和管理的規(guī)范化,并提高工作研究的效率和質(zhì)量。 。因此,在在規(guī)劃過程中,對資源的環(huán)保性進行了應深入分析, EBM在制造系統(tǒng)中對環(huán)境的影響進行分析進行描述。這些系統(tǒng)為企業(yè)工作研究的實施帶來了一定的方便,但都不成熟,大多處于實驗階段,往往只能適應個別企業(yè)工作研究 中的部分領(lǐng)域,無法進行推廣普及。工作研究的計算機化跟不上,導致了企業(yè)基礎(chǔ)數(shù)據(jù)發(fā)展的滯后,而高層生產(chǎn)系統(tǒng),如 MRP、 ERP 等不能夠 得到準確及時的基礎(chǔ)數(shù)據(jù)支持,致使整個生產(chǎn)系統(tǒng)效率低下。工作研究人員在設(shè)計作業(yè)方法和制定工時定額過程中,需要進行大量的信息處理、思維決策、數(shù)據(jù)計算和繁復的文字處理工作。 我國一直沿用前蘇聯(lián)的工業(yè)體系,人們對效率、標準化的意識比較薄弱。 工藝路線的改進,采用循證醫(yī)學的概 念但不同于傳統(tǒng)的企業(yè)診斷方法。 ⑨員工的教育與培訓 (Workforce Education and Training)。 ⑦產(chǎn)品與過程的設(shè)計方法 (Product and Process Design Methods)。 ⑤企業(yè)建模與仿真 (Enterprise Modeling and Simulation)。 ③新的物料過程 (New Materials Process)。 RMSs 是對傳統(tǒng)制造系統(tǒng)的規(guī)劃、設(shè)計、建造與運行理論和方法的創(chuàng)新 ,它利用系統(tǒng)組元 /模塊組態(tài) (布局 )的可變性與可更新性實現(xiàn)制造系統(tǒng)的可變性。 ⑥創(chuàng)新和改進了的流 (過 )程。 ④消除或控制污染 ,提高企業(yè)對環(huán)境的適應性。 ②快速捕捉、搜集競爭 信息 ,并迅速把它們轉(zhuǎn)換成競爭情報和知識。 1999 年麻省理工學院 MIT 認為制造包括 :產(chǎn)品的規(guī)劃、設(shè)計與開發(fā)、銷售與服務和實現(xiàn)這些職能所運用的技術(shù)與流程 ,以及使技術(shù)與人結(jié)合的途徑。生產(chǎn)直接消耗資源,污染環(huán)境,帶來職業(yè)健康和安全問題 [1,2]。采用這種方法的目的是低碳生產(chǎn)制造、改善環(huán)境和提高制造業(yè)效率。關(guān)注影響氣候變化的碳排放的制造業(yè)是很重要的,因為他們生產(chǎn)過程中的高消耗和對環(huán)境的影響的時間較長。 document the lack of quantitative analysis of operations, can not effectively guide the production process. B. the lack of work on software system: At present, many domestic and foreign software panies in China into the software systems are mostly concentrated in the CAD, CAPP, CAM, PDM, ERP and other popular software, and software investment in research work and development are very few. The reason, of course, there are software vendors in this area of neglect, but the main reason for domestic enterprises has exposed the basic data on the attitude of indifference, lack of work on software systems understanding. Research failed to keep pace with the puterization of work, led to the development of enterprises based on data lag, and highlevel production systems, For example MRP, ERP, and so on can not be accurate and timely data to support the foundation, causing the whole production system inefficient. With the development and strengthening of modern enterprises, the size of the business growing based on data increasingly huge and updated data based on speed has accelerated, the traditional manual work study has been unable to meet the needs of modern enterprises. Businesstobasic data accuracy, timeliness and standardization of the requirements of basic data and experience of traditional means of access to the conflict between has bee increasingly prominent. To solve these problems and contradictions, some domestic enterprises began to explore the work on puteraided system, in particular the labor scale puteraided system. These systems for enterprise work on the implementation of the convenience brought about certain, but not mature, mostly in the experimental stage, only to individual enterprises often work in some areas of research, not to promote universal. Therefore, a prehensive research and development work on a mon puteraided system (Computer Aided Work Study System referred to CAWS system) is China39。s industrial system, people on the efficiency and standardization of awareness is relatively weak. A considerable number of enterprises exist: the lack of scientific practices, systematic, standardized, mainly to use their experience and personal desire to act。s economic engine is running strong pillars and to create defined as: the creation, development, support and provide products and services required by
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