面向中小型制造企业的物料跟踪模型研究*

为了在中小型制造企业实现全面且快捷的物料跟踪功能以支持精益生产的实施,针对中小型制造企业生产过程中存在物料替代、返工、分批和合批等特殊环节的多样性特点,建立了物料状态转换的一般映射和特殊映射的模型,提出了根据具体情形下的物料跟踪目的对特殊映射进行处理的方法,并通过应用钩子原理进行复合映射求解。以产品档案为例说明了物料跟踪映射模型的应用方法,并给出了基于xBOM的“半矩阵式”物料跟踪系统的结构设计。在该结构下中小型制造企业可利用物料跟踪模型提高系统运行效率,并获得更加全面准确的信息。本模型在已产品化的集成化     

基于MES的焊装车间物料管理系统设计

针对焊装生产线的物料管理系统数据管理分散、缺乏物料跟踪以及信息反馈慢的缺点,应用面向MES的物料配送模型,设计了一种基于SIAMTIC IT的焊装生产线物料管理MES系统,着重分析了物料跟踪与配送开发过程、实现方法和运行结果,实现了实时记录焊装过程的零部件和产品属性信息。     

基于GMP中小制药企业ERP生产管理系统设计

分析了制药企业中ERP建设和GMP认证的目的是规范企业的业务流程,建立了适合中小型制药企业的ERP生产管理系统模型,提出了该系统的体系结构和网络结构,并重点讨论了生产控制和产品管理的设计方案.     

书架

《制药业项目管理》作者:劳拉·布朗托尼·格伦迪出版:电子工业出版社定价:29元简介:项目管理是药品研发成功的关键。在给定研发费用和药品投放市场时间的情况下,影响药品成功地投放市场的关键因素是项目管理的应用。本书提供一套完整的制药环境下项目管理的理念、方法、技术与工具,结合案例讲述它们在制药业实践中的应用,紧扣制药业项目的特点,把项目管理同企业的战略、组织、财务和运作相结合,是制药业项目管理人员、制药企业管理人员的必备用书。《换上顾客的脑袋》作者:比尔·斯汀奈特出版:中信出版社定价:28元简介:顾客为什么购买?顾客…     

工程项目施工中物资供应质量可追溯模型研究

针对工程项目施工中物资管理过程中的质量安全问题,结合物资批次映射关系,设计以TOB为可追溯对象的物资质量可追溯模型。该模型采用基于追溯批次记录与逐级编码方式,引入批次质量特征(BOF)的概念,并基于BOF,利用符号化的可追溯对象将物资供应链各环节的信息关联起来。在此基础上,提出了物资批次的三种映射转换,实现了供应链中物资质量的跟踪和追溯,构建了工程项目施工中物资供应质量追溯系统。最后通过应用实践,证明了该模型的有效性和可行性。     

短讯十一则

2010年5月26日,北京分中心举办了医疗制药业系统成员质量安全管理座谈会。会上通过问卷调查、技术讲座、案例介绍、现场讨论等方式就条码技术在医疗领域的应用,进行了沟通与交流,进一步了解了制药企业对条码技术的需求和意向。     

基于J2EE的特钢企业物料管理系统的设计与实现

针对特钢企业生产过程中急需解决的物料管理手段落后、物料信息采集不及时等现状，提出了一种基于J2EE的特钢企业物料管理系统模型，并以某特钢企业为例，详细阐述了系统功能。通过该系统的实施可以对物料状态和生产实绩进行实时跟踪，加强对企业生产管理的有效控制，为提高企业整体生产管理水平奠定了信息化的基础。     

石油钻井物料清单的构造方法与系统实现

为有效控制石油钻井物料的供应,降低库存,应用企业资源计划系统申物料清单的方法,提出了适用于石油钻井物料管理与控制的石油钻井物料清单的概念.研究构建了钻井物料清单的结构模型,分析了模型中节点间的关系,给出了钻井物料清单的形式化定义.基于钻具可重复使用的特性,按钻井开次,以分阶段计算的方法,提出了钻井物料清单的数量模型.开发实现了一个钻井物料清单管理系统,为钻井物料供应的优化管理提供了辅助支持.     

在制药行业中的ERP生产管理系统的设计与实现

针对企业资源规划 (EnterpriseResourcePlanning ,ERP)系统在制药行业的应用中 ,如何通过生产管理系统来实现物流和GMP信息流的结合管理 ,提出了一个基于MRP Ⅱ模型 ,结合GMP信息的生产管理模型 ,并用Rose ,PowerBuilder和Sybase为工具进行该系统的设计和实现。     

英维思MES在塑胶企业中的应用

塑胶原料生产是一个典型的批次生产过程,其MES系统的功能需求不同于离散工业和流程工业,有其行业的特殊性。本文借助英维思MES软件平台,通过对订单的跟踪管理和配方逻辑模型的再造,成功地实现了塑胶原料生产企业ERP（企业资源管理）与PCS（生产控制系统）的信息集成,为流程行业MES系统的实践提供了新的补充,取得了很好的效果。     

Predictive temperature tracking for batch evaporative crystallizers: the partial state model reference approach

Batch operated crystallizers are widely used in the processing of fine chemical and pharmaceutical products. However, the tracking of various temperature setpoint trajectories appears to be a very difficult task if the crystallizer is cooled through vacuum, and advanced closed-loop control strategies have to be considered. This paper describes the application of the so called partial state model reference generalized predictive control approach (PSMR GPC) to the crystallization of organic compounds. After a brief introduction to the processes of crystallization from the solution, the main difficulties related to the use of vacuum for cooling industrial crystallizers are emphasized, followed by the weaknesses of PI control. The PSMR strategy is recalled and this algorithm is applied to calculate the input pressure leading to satisfactory tracking of temperature trajectories. The design of a non-linear adaptive supervisor is then described. In addition to the basic control law, this supervisor has been implemented to ensure improved safety and robustness. Supervisory PSMR GPC performances are reported. With respect to the main industrial constraints and requirements, the results are encouraging.     

Towards a New Logic for Front End Management: From Drug Discovery to Drug Design in Pharmaceutical R&D

Under pressure to innovate and be cost‐effective at the same time, R&D departments are being challenged to develop new organizations and processes for Front End activities. This is especially true in the pharmaceutical industry. As drug development becomes more risky and costly, the discovery departments of pharmaceutical companies are increasingly being compelled to provide strong drug candidates for efficient development processes and quick market launches. It is argued that the Fuzzy Front End consists less of the discovery or recognition of opportunities than of the building of expanded concepts: the notion of concept generation is revisited, suggesting the need for a new logic for organizing Front End activities in order to support sustainable innovative product development. Based on an in‐depth empirical study at a European pharmaceutical company, this paper contributes to improved understanding of the actual management practices used in the Front End. Using a design reasoning model (the C‐K model), it also adds to the growing body of literature on the management of Front End activities in new product development processes.     

Model reference control of non-linear systems with relative order two: application to a semibatch reactor

The design of a robust non-linear feedback controller incorporating integral and derivative actions is presented for non-linear systems with relative order two. The design method is applied to product concentration tracking in the case of parallel reactions occurring in a semibatch isothermal reactor. The simulation results show the effectiveness of the control scheme and its robustness to modelling errors.     

Optimal operation of batch reactors—a personal view

This paper presents a personal, thus necessarily subjective, view of the operation of batch and semi-batch reactors. The emphasis is on safety, product quality and scale-up. Key characteristics of discontinuous reaction systems are discussed, along with the resulting implications for monitoring, control and optimization. The industrial needs are compared with the research solutions proposed by academia. It is argued that, in industry, measurement and modeling issues are often more important than the algorithmic aspects related to the computation of control and optimization strategies. Major challenges and selected research opportunities are discussed.     

Closed-loop control of crystal shape in cooling crystallization of l-glutamic acid

Recent simulation research has proved the principle that it is possible to exercise closed-loop control over the particle shape of the crystals produced from cooling crystallisation processes through tracking an optimum temperature or supersaturation profile which can be obtained through optimisation using a morphological population balance (M-PB) model. Here, attention is given to experimentally designing a closed-loop control system on a real crystallisation process to produce the desired shape for rod-like crystals. An optimization algorithm was applied to an M-PB model developed for l-glutamic acid crystallisation to find the optimal profiles of cooling temperature and supersaturation that lead to the desired shape of β-form rod-like product crystals. A closed-loop feedback control system was designed to control the solution temperature or concentration to track the optimum trajectory. On a 1-l crystalliser, it was demonstrated that crystals of different shape can be obtained using the developed closed-loop control methodology. Both supersaturation control and temperature control are compared with each other, and also with constant supersaturation strategy in performance in achieving the final product shape.     

间歇生产过程的优化方法和控制策略综述

间歇生产过程是流程工业的重要组成部分,因其特有的灵活性和高效性,被广泛应用于食品、化工、制药、冶金、造纸等行业,其优化与控制问题也被广泛的研究.间歇生产过程的非线性和重复性,给优化和控制既带来了机遇又带来了挑战.本文总结了近三十年来间歇生产过程常用的优化方法和控制策略,并且从间歇生产过程的特性出发,分析了优化和控制的难点,讨论了未来可能的发展方向.     

多品种小批量机械制造企业MES的研究

通过分析MKS的作用，结合我国机械制造企业的实际情况，提出了针时多品种、小批量生产企业的MKS体系结构，明确了其定位与范围。介绍了这一MES体系的核心部分即调度子系统的作业计划、生产调度和物料跟踪等模块的结构及其主要功能。对于系统实现的一些技术进行了探讨。实际应用表明，该研究可以为多品种小批量机械制造企业信息化工程提供一些可行方案。     

甘肃农产品现代物流产业发展体系构筑

农产品因其量大易腐烂,且不易长途运输等特点,在物流阶段损失严重,所以构建系统完善的农产品的物流产业体系是实现农业现代化的核心手段。在分析现代物流产业的发展现状和趋势的基础上,构筑了农产品物流产业发展的体系,提出农产品物流产业的基础设施、物流管理水平、技术水平和宏观管理等是物流产业的支撑。     

Multivariate regression modeling for monitoring quality of injection moulding components using cavity sensor technology: Application to the manufacturing of pharmaceutical device components

There is an increased demand within the moulding industry to improve the quality of moulded parts by maintaining consistent tolerances and overall dimensions. This interest is more important in areas of the moulding industry that are dedicated to pharmaceutical devices, where a quality by design approach is now expected to be adopted. A pharmaceutical device is an assembly of different plastic components which are manufactured by injection moulding; many have critical quality parameters which affect not only the device appearance but also more importantly its performance for drug delivery. Hence, the need of better understanding and control of injection moulding processes. This study presents the use of multivariate regression modeling approach to monitor the quality of the final product using cavity sensor technology (CST). The influence of the injection moulding process parameters on the quality of the final parts have been investigated using a design of experiment approach. The results demonstrate that the Partial Least Squares (PLS) regression model based on cavity pressure sensor data could be successfully used to monitor the quality (weight, dimensions) of the final product in plastic injection moulding.     

Nonlinear model predictive control of a batch fluidized bed dryer for pharmaceutical particles

The availability of reliable online moisture content measurements exploiting near-infrared (NIR) spectroscopy and chemometric tools allows the application of online control strategies to a wide range of drying processes in the pharmaceutical industry. In this paper, drying of particles with a pilot-scale batch fluidized bed dryer (FBD) is studied using a in-line NIR probe. A consolidated phenomenological state-space model of an FBD based on mass and energy balances is calibrated applying a nonlinear least-square identification to experimental data (grey-box modeling). Then, relying on the calibrated model, a nonlinear model predictive controller and a moving horizon state estimator are designed. The objective is to reach a specific particle moisture content setpoint at the end of the drying batch while decreasing cycle time and limiting particle temperature. A penalty term on the energy consumption can also be added to the usual tracking control cost function. Compared to a typical FBD operation in industry (mostly open-loop), it is shown that the drying time and the energy consumption can be efficiently managed on the pilot-scale process while limiting various operation problems like under drying, over drying, or particles overheating.