Plekhanov Russian University of Economics, Moscow, Russia:

B. V. Chernikov, Professor, Doctor of Engineering Sciences

The article displays capabilities of automated procedures on the analysis and synthesis of production documentation toward reduction of labor content of document preparation. The subjects of the research are the industrial undertakings mostly in the field of machine engineering and, partly, in mining. The article begins with the identification of the structure of information streams and the related categories of text documents at a production plant. It is found that in the traditional documentation schemes, the portion of fixed information to be timely insered in data entry screens or in document templates is extremely small and makes 8.1% at the average; the rest is the transient data to be typedin. As a result, labor content of document preparation sharply grows. The situation is particularly complicated at mining plants that differ from usual factories by instability of employment, hard dependency of production on natural conditions and elevated occupational hazards, in consequence of which most of current documentation is weakly formalizable. As an efficient technology of automated document creation at production plants, it is recommended to use the method of lexicological synthesis of text documents, which has the protection under the copyright law and is commercially proved. The method includes automated replacement of floating text by unifi ed formulations based on selection of support words and generation of a structural “tree” of documents. Using this method more than halves labor content of document generation.

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