系统工程理论与实践
繫統工程理論與實踐
계통공정이론여실천
Systems Engineering—Theory & Practice
2012年
1期
164~172
,共null页
黄海松 谢庆生 李少波 袁庆霓
黃海鬆 謝慶生 李少波 袁慶霓
황해송 사경생 리소파 원경예
中药 知识获取 知识重用 实时数据库 模块 MES 生产过程优化
中藥 知識穫取 知識重用 實時數據庫 模塊 MES 生產過程優化
중약 지식획취 지식중용 실시수거고 모괴 MES 생산과정우화
traditional Chinese medicine; knowledge acquisition; knowledge reuse; RTDB; module; MES; optimization
针对中药制造企业生产运行、管理很大程度上依赖于经验,信息传递不及时、不全面,管理与生产脱节,生产指挥滞后等问题,首先分析了中药制药企业对MES系统的需求,并在此基础上,提出了以优化整个生产过程为核心的基于知识的中药制药企业MES系统,给出了系统的功能模型并详细阐述了各功能模块.然后重点研究了系统构建的关键技术:知识的提取、知识的融合、知识的重用、生产过程优化等.该系统采用开放性的、可扩展的、模块化的、面向对象的体系结构,能实现生产过程的最优计划与调度、药品批次的跟踪、设备的预测性维护等功能,已在贵州某中药厂进行了应用验证,应用效果良好.
針對中藥製造企業生產運行、管理很大程度上依賴于經驗,信息傳遞不及時、不全麵,管理與生產脫節,生產指揮滯後等問題,首先分析瞭中藥製藥企業對MES繫統的需求,併在此基礎上,提齣瞭以優化整箇生產過程為覈心的基于知識的中藥製藥企業MES繫統,給齣瞭繫統的功能模型併詳細闡述瞭各功能模塊.然後重點研究瞭繫統構建的關鍵技術:知識的提取、知識的融閤、知識的重用、生產過程優化等.該繫統採用開放性的、可擴展的、模塊化的、麵嚮對象的體繫結構,能實現生產過程的最優計劃與調度、藥品批次的跟蹤、設備的預測性維護等功能,已在貴州某中藥廠進行瞭應用驗證,應用效果良好.
침대중약제조기업생산운행、관리흔대정도상의뢰우경험,신식전체불급시、불전면,관리여생산탈절,생산지휘체후등문제,수선분석료중약제약기업대MES계통적수구,병재차기출상,제출료이우화정개생산과정위핵심적기우지식적중약제약기업MES계통,급출료계통적공능모형병상세천술료각공능모괴.연후중점연구료계통구건적관건기술:지식적제취、지식적융합、지식적중용、생산과정우화등.해계통채용개방성적、가확전적、모괴화적、면향대상적체계결구,능실현생산과정적최우계화여조도、약품비차적근종、설비적예측성유호등공능,이재귀주모중약엄진행료응용험증,응용효과량호.
The production management of traditional Chinese medicine manufacturing enterprise relies heavily on the experience of manager, and delayed one-sided information transfer leads to the disjointedness between management and production as well as the delay of production command. Considering the above shortness and specific characteristics of traditional Chinese medicine production, this paper designed the knowledge-based MES for traditional Chinese medicine enterprises to optimize production processes. In this paper, function model of the system was given and the function modules of the system were described in detail. This paper also focused on the research of the system's key technologies including knowledge extraction, knowledge integration, knowledge reuse, process optimization. The MES uses an open, scalable, modular, object-oriented architecture to achieve functions such as optimization and schedule of productive process, on-line quality inspection of medicine, batch tracking of products and predictive maintenance of equipments. It has been applied in a pharmaceutical companies of Guizhou with good results.