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Methods of manufacturing data acquisition for production management - A review

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

51 Citations (Scopus)

Abstract

Knowledge about the state of the production system is necessary for proper management of a company. A modern company typically uses an ERP (Enterprise Resources Planning) system for management support, but still there is usually a gap between business and manufacturing layers of a company. There is a need to provide solutions allowing data acquisition directly from the production system, analyse this data and display it in a convenient form. Each type of production systems require a different approach to collect data because of variety of objects and conditions. The ability of production data acquisition mostly depends on the level of automation. This paper presents a comparison of methods of data acquisition from different types of manufacturing systems. Methods of data acquisition, from both automated and non-automated manufacturing systems, are described. Automation equipment resources (sensors, actuators, PLC, DCS, CNC, HMI, SCADA) and automatic identification systems (barcodes, RFID, vision systems etc.), as well as communication solutions (fieldbus, wired and wireless networks) and information exchange standards (OPC, MTConnect) are discussed.

Original languageEnglish
Title of host publicationModern Technologies in Industrial Engineering
Pages618-623
Number of pages6
DOIs
Publication statusPublished - 2014
Event2013 ModTech International Conference on Modern Technologies in Industrial Engineering, ModTech 2013 - Sinaia, Romania
Duration: 27 Jun 201329 Jun 2013

Publication series

NameAdvanced Materials Research
Volume837
ISSN (Print)1022-6680

Conference

Conference2013 ModTech International Conference on Modern Technologies in Industrial Engineering, ModTech 2013
Country/TerritoryRomania
CitySinaia
Period27/06/1329/06/13

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
  • Data acquisition
  • MTConnect
  • OPC
  • PLC
  • Production monitoring
  • SCADA

ASJC Scopus subject areas

  • General Engineering

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