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Informatics Platform for Designing and Deploying e-Manufacturing Systems

  • Jay Lee
  • Linxia Liao
  • Edzel Lapira
  • Jun Ni
  • Lin Li

Abstract

e-Manufacturing is a transformation system that enables manufacturing operations to achieve near-zero-downtime performance, as well as to synchronise with the business systems through the use of informatics technologies. To successfully implement an e-manufacturing system, a systematic approach in designing and deploying various computing tools (algorithms, software and agents) with a scalable hardware and software platform is a necessity. In this chapter, we will first give an introduction to an e-manufacturing system including its fundamental elements and requirements to meet the changing needs of the manufacturing industry in today’s globally networked business environment. Second, we will introduce a methodology for the design and development of advanced computing tools to convert data to information in manufacturing applications. A toolbox that consists of modularised embedded algorithms for signal processing and feature extraction, performance assessment, diagnostics and prognostics for diverse machinery prognostic applications, will be examined. Further, decision support tools for reduced response time and prioritised maintenance scheduling will be discussed. Third, we will introduce a reconfigurable, easy to use, platform for various applications. Finally, case studies for smart machines and other applications will be used to demonstrate the selected methods and tools.

Keywords

Quality Function Deployment Tool Holder Bayesian Belief Network Enterprise Resource Planning System General Packet Radio Service 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer London 2009

Authors and Affiliations

  • Jay Lee
    • 1
  • Linxia Liao
    • 1
  • Edzel Lapira
    • 1
  • Jun Ni
    • 2
  • Lin Li
    • 2
  1. 1.NSF I/UCR Centre for Intelligent Maintenance SystemsUniversity of CincinnatiCincinnatiUSA
  2. 2.S. M. Wu Manufacturing Research CentreUniversity of MichiganAnn ArborUSA

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