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Intelligent Predictive Maintenance: Industry 4.0

In: Asset Maintenance Management in Industry

Author

Listed:
  • Rama Srinivasan Velmurugan

    (GAIL India Limited)

  • Tarun Dhingra

    (University of Petroleum and Energy Studies)

Abstract

This chapter describes the relevance of asset maintenance management in the context of Industry 4.0. One of the essential digital strategies in asset maintenance is Intelligent Predictive Maintenance. A framework for Intelligent Predictive Maintenance based on the research study conducted by asset maintenance practitioners of operations-intensive organizations and the key elements of Intelligent Predictive Maintenance within an Industry 4.0 is presented. The key elements are the Internet of Services, Internet of Things, Smart Solutions, Smart Factory and cloud computing, and intelligent automation systems, which are discussed in detail in this chapter. Intelligent automation systems play a crucial role in implementing asset maintenance digital strategy at an organizational level. Operations-intensive organizations in the industry have also started using the basic principles of IoT and Industry 4.0 to implement the related equipment and systems to form an intelligent network spanning its entire value chain. This type of self-controlled network system helps to identify the unexpected changes in the production process, predict equipment failures, and also prompt timely maintenance actions using the Intelligent Predictive Maintenance implementation cycle, which are described in this chapter.

Suggested Citation

  • Rama Srinivasan Velmurugan & Tarun Dhingra, 2021. "Intelligent Predictive Maintenance: Industry 4.0," International Series in Operations Research & Management Science, in: Asset Maintenance Management in Industry, chapter 0, pages 113-135, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-74154-9_5
    DOI: 10.1007/978-3-030-74154-9_5
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