By Heiko Meyer
Enforce Enterprise-Wide production Execution platforms Solutions"The clearest exposition i've got visible of the suitable anatomy of a production-oriented IT procedure. ...Palatable to selection makers inside of an organization...IT pros [and] lecturers in IT and operations administration. ...Useful and interesting." --From the Foreword by way of Dr. Anand Paul, affiliate Professor, division of data platforms and Operations administration, Warrington collage of industrial management, college of Florida, GainesvilleStreamline the construction technique from top-tier administration to the plant ground utilizing state of the art MES instruments and strategies. production Execution structures indicates, step by step, tips to decide upon and software program, boost implementation plans, and keep an built-in MES resolution throughout all of your company. easy methods to maximize technique potential, generate production intelligence, deal with order achievement and QA, and make sure optimum ROI. This functional advisor contains real-world case reviews, predictions for the way forward for production-oriented IT platforms, and unique technical appendices.Understand and follow MES, CPM, and integration conceptsAnalyze and examine some great benefits of diverse MES solutionsDynamically map and version your facility, from offer chain to outputManage plant facts, company info, and criteria compliance elevate creation potency utilizing TQM and Lean techniquesCarry out construction flow-oriented layout and series planningGovern order success, quality controls, and plant upkeep contain human assets, ERP, and product lifecycle info
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Additional info for Manufacturing Execution Systems (MES): Optimal Design, Planning, and Deployment
Sample text
Multivariate Statistics Multivariate statistics provides methods and processes that aid the preparation, tabular and graphic representation, and evaluation of complex data situations. Multivariate statistics processes (as compared with conventional statistics) are characterized by the fact that they allow Factory of the Future the collective simultaneous analysis of numerous features and their expressions. Thus, when the expression of numerous features is observed in objects, all observed data can be evaluated jointly with the aid of multivariate statistics.
Parent companies with independent domestic and foreign subsidiaries), harmonization and maintenance of the master data represent a true challenge. In such a structure, management of master data must be organized very flexibly. This means that systems and maintenance can be assumed both centrally and also by associated entities such as subsidiaries. Global master data objects and attributes are defined. If necessary, these data objects are extended by means of specific process-relevant attributes and saved centrally.
Information for the management level of a company must be greatly compressed in order to be absorbed at all. In extreme cases, thousands of reports or individual pieces of data are condensed into one index that describes the efficiency of the production department (or a sector of production). Only structured data management makes it possible to use realtime information in making rapid decisions. In addition, the data must be available for correlation checking and more long-term analysis. Key Figures Significant key figures or KPIs are a tried and tested way of reducing the flood of information to a manageable amount.