Development of a Smart Agent Based in ANSI / ISA-95 Standard

Abstract

Changes in organizations and inter-organizational integration have generated a need to standardize the data structures used to increase the efficiency of information flow. The ANSI / ISA-95 standard is relevant as a means for the standardization and automation of business systems in production companies along with the manufacturing information structure it defines. This work proposes GrACED, an intelligent knowledge-based agent that processes natural language through wordbags, to analyze and classify the structure of the tables of the ERP databases in the categories proposed by the ANSI / ISA-95. The objective is to promote an adaptable, portable and standardized base to automatically analyze the information contained in each table of the database and study the adequacy of said ERP to the S95 seeking to facilitate the study of the business system and favoring its integration with other systems .