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The methodology of development of the manufacturing information acquisition system (MIAS) for production management

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

21 Citations (Scopus)

Abstract

The acquisition of data on the state of the production process is essential in the management of a company. The ERP system, as well as company management, should be continuously supplied with up-to-date information about the state of the production system, but in many cases there is a gap between the business and manufacturing layers of a company. Data on the state of production orders, machines, materials and human resources have to be automatically acquired, transmitted, archived, pre-processed and converted to a form compatible with business layer systems. There is a need for the development of methodology, describing methods of data acquisition and pre-processing directly from the shop floor. The methodology should be universal, covering the needs of different types of technological processes (discrete, continuous, batch), branches of industry and levels of production automation, etc. This paper presents the methodology of the development of Manufacturing Information Acquisition System (MIAS) covering needs for automated data acquisition, archiving and pre-processing systems, able to provide on-line production processes information for various clients. MIAS can be used as a link between data sources, MES/ERP systems and company management. Furthermore, it can be used as a stand-alone management information tool.

Original languageEnglish
Title of host publicationNovel Trends in Production Devices and Systems
PublisherTrans Tech Publications Ltd.
Pages27-32
Number of pages6
ISBN (Print)9783037859445
DOIs
Publication statusPublished - 2014

Publication series

NameApplied Mechanics and Materials
Volume474
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Automatic identification systems
  • Automation
  • Data acquisition
  • Historian
  • MES
  • SCADA

ASJC Scopus subject areas

  • General Engineering

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