首页> 外文期刊>American pharmaceutical review >Intelligence based Manufacturing: A Roadmap for Excellence in Pharmaceutical Supply Performance
【24h】

Intelligence based Manufacturing: A Roadmap for Excellence in Pharmaceutical Supply Performance

机译:基于智能的制造:药品供应绩效卓越路线图

获取原文
获取原文并翻译 | 示例
           

摘要

Pharmaceutical manufacturing technology has been depicted as outdated and inadequate for optimal quality and control. While the industry remains highly reliant on batch processing, there has been a focused effort to apply six sigma and lean principles to manufacturing operations. Currently, Quality by Design principles are broadly used across the pharmaceutical industry in product development. Product quality and compliance are key pillars to successful business, and when there are lapses in keen attention to one or both, serious consequences follow, not only to the business, but more importantly, these occurrences present a most serious failure to the patients the industry is meant to serve. With presence of smart equipment across the end-to-end process for manufacture, extensive amounts of data are generated, some of it effectively used and some of it inaccessible resulting in a waste of potential value. The next frontier for pharmaceutical processing from development through commercialization is effective use of data.
机译:药品制造技术已被描述为过时且不足以实现最佳质量和控制。尽管行业仍然高度依赖批处理,但人们一直在努力将六西格玛和精益原理应用于制造业务。当前,按质量设计原则已在整个制药行业广泛应用于产品开发。产品质量和合规性是成功开展业务的关键支柱,并且如果对一种或两种方法缺乏足够的关注,则会产生严重后果,不仅对业务造成影响,更重要的是,这些事件给行业患者带来了最严重的失败是为了服务。随着端到端制造过程中智能设备的出现,会生成大量数据,其中一些数据得到有效利用,而另一些则无法访问,从而浪费了潜在价值。从开发到商业化,药物加工的下一个前沿领域是有效利用数据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号