IDEAS home Printed from https://ideas.repec.org/h/spr/ssrchp/978-3-031-05347-4_10.html
   My bibliography  Save this book chapter

Computation Signature Reliability of Computer Numerical Control System Using Universal Generating Function

In: Predictive Analytics in System Reliability

Author

Listed:
  • Tripty Pandey

    (Graphic Era Hill University)

  • Arpita Batra

    (Graphic Era Hill University)

  • Mansi Chaudhary

    (Graphic Era Hill University)

  • Anjali Ranakoti

    (Graphic Era Hill University)

  • Akshay Kumar

    (Graphic Era Hill University)

  • Mangey Ram

    (Graphic Era (Deemed to be University)
    Peter the Great St. Petersburg Polytechnic University)

Abstract

The aim of this research is to deal with a complex manufacturing system using the Computer Numerical Control as the bottom case manufacturing system, where the arrangement of various complex sub-systems is in series, parallel or in both the configurations. The system reliability with several other factors like signature, tail signature, expected time as well as expected cost and sensitivity have been obtained with the assistant of universal generating function technique. The purpose of this chapter is to comparison of the systems on the basis of signature and its measures Further, a numerical example demonstrates the proposed system and technique for a better understanding.

Suggested Citation

  • Tripty Pandey & Arpita Batra & Mansi Chaudhary & Anjali Ranakoti & Akshay Kumar & Mangey Ram, 2023. "Computation Signature Reliability of Computer Numerical Control System Using Universal Generating Function," Springer Series in Reliability Engineering, in: Vijay Kumar & Hoang Pham (ed.), Predictive Analytics in System Reliability, pages 149-158, Springer.
  • Handle: RePEc:spr:ssrchp:978-3-031-05347-4_10
    DOI: 10.1007/978-3-031-05347-4_10
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ssrchp:978-3-031-05347-4_10. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.