• DocumentCode
    52676
  • Title

    Machine-to-Machine Communication

  • Author

    Weyrich, Michael ; Schmidt, Jan-Philipp ; Ebert, C.

  • Volume
    31
  • Issue
    4
  • fYear
    2014
  • fDate
    July-Aug. 2014
  • Firstpage
    19
  • Lastpage
    23
  • Abstract
    Imagine a widespread manufacturing plant equipped with smart machinery and RFID-enabled technology. All machines are interconnected and communicate through their sensors and actuators as they work their way through the manufacturing process. Operators use wireless pads and connect to production systems for diagnostics and manufacturing oversight. Machine load, status, and diagnosis data are further aggregated in enterprise systems for resource planning and production optimization. The machines receive usage feedback to adjust production schemes and therefore optimize cost and quality. The machines also communicate with their own manufacturers to request repairs or order new parts to avoid costly outages. Agent-based systems allocate load to machines in a distributed, often global, production setup to optimize supply chain cost. This is a growing reality in what we call the smart factory. The smart factory of the future is far more agile than the approaches in today´s flexible manufacturing. The smart factory connects the machines, devices, logistics, and humans to perform the necessary coordination ubiquitously and ad hoc.
  • Keywords
    enterprise resource planning; factory automation; optimised production technology; production engineering computing; supply chain management; M2M communication; enterprise systems; machine-to-machine communication; production optimization; resource planning; smart factory; smart machinery; supply chain cost optimization; Ad hoc networks; Communication system security; Machine-to-machine communication; Production facilities; Wireless communication; Wireless sensor networks; embedded systems; green computing; machine-to-machine; smart factory; software engineering; wireless technology;
  • fLanguage
    English
  • Journal_Title
    Software, IEEE
  • Publisher
    ieee
  • ISSN
    0740-7459
  • Type

    jour

  • DOI
    10.1109/MS.2014.87
  • Filename
    6834707