Buy Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Science, Technology & Agriculture > Mechanical engineering and materials > Production and industrial engineering > Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning: (Springer Theses)
37%
Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning: (Springer Theses)

Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning: (Springer Theses)


     0     
5
4
3
2
1



Available


X
About the Book

The book reports on a novel approach for holistically identifying the relevant state drivers of complex, multi-stage manufacturing systems. This approach is able to utilize complex, diverse and high-dimensional data sets, which often occur in manufacturing applications, and to integrate the important process intra- and interrelations. The approach has been evaluated using three scenarios from different manufacturing domains (aviation, chemical and semiconductor). The results, which are reported in detail in this book, confirmed that it is possible to incorporate implicit process intra- and interrelations on both a process and programme level by applying SVM-based feature ranking. In practice, this method can be used to identify the most important process parameters and state characteristics, the so-called state drivers, of a manufacturing system. Given the increasing availability of data and information, this selection support can be directly utilized in, e.g., quality monitoring and advanced process control. Importantly, the method is neither limited to specific products, manufacturing processes or systems, nor by specific quality concepts.

Table of Contents:
Introduction.- Developments of manufacturing systems with a focus on product and process quality.- Current approaches with a focus on holistic information management in manufacturing.- Development of the product state concept.- Application of machine learning to identify state drivers.- Application of SVM to identify relevant state drivers.- Evaluation of the developed approach.- Recapitulation.


Best Sellers


Product Details
  • ISBN-13: 9783319386980
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 235 mm
  • No of Pages: 272
  • Returnable: Y
  • Width: 155 mm
  • ISBN-10: 3319386980
  • Publisher Date: 17 Oct 2016
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Series Title: Springer Theses


Similar Products

Add Photo
Add Photo

Customer Reviews

     0     
out of (%) reviewers recommend this product
Top Reviews
Rating Snapshot
Select a row below to filter reviews.
5
4
3
2
1
Average Customer Ratings
     0     
00 of 0 Reviews
Sort by :
Active Filters

00 of 0 Reviews
SEARCH RESULTS
1–2 of 2 Reviews
    BoxerLover2 - 5 Days ago
    A Thrilling But Totally Believable Murder Mystery

    Read this in one evening. I had planned to do other things with my day, but it was impossible to put down. Every time I tried, I was drawn back to it in less than 5 minutes. I sobbed my eyes out the entire last 100 pages. Highly recommend!

    BoxerLover2 - 5 Days ago
    A Thrilling But Totally Believable Murder Mystery

    Read this in one evening. I had planned to do other things with my day, but it was impossible to put down. Every time I tried, I was drawn back to it in less than 5 minutes. I sobbed my eyes out the entire last 100 pages. Highly recommend!


Sample text
Photo of
    Media Viewer

    Sample text
    Reviews
    Reader Type:
    BoxerLover2
    00 of 0 review

    Your review was submitted!
    Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning: (Springer Theses)
    Springer International Publishing AG -
    Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning: (Springer Theses)
    Writing guidlines
    We want to publish your review, so please:
    • keep your review on the product. Review's that defame author's character will be rejected.
    • Keep your review focused on the product.
    • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
    • Refrain from mentioning competitors or the specific price you paid for the product.
    • Do not include any personally identifiable information, such as full names.

    Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning: (Springer Theses)

    Required fields are marked with *

    Review Title*
    Review
      Add Photo Add up to 6 photos
      Would you recommend this product to a friend?
      Tag this Book Read more
      Does your review contain spoilers?
      What type of reader best describes you?
      I agree to the terms & conditions
      You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

      CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

      These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


      By submitting any content to Bookswagon, you guarantee that:
      • You are the sole author and owner of the intellectual property rights in the content;
      • All "moral rights" that you may have in such content have been voluntarily waived by you;
      • All content that you post is accurate;
      • You are at least 13 years old;
      • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
      You further agree that you may not submit any content:
      • That is known by you to be false, inaccurate or misleading;
      • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
      • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
      • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
      • For which you were compensated or granted any consideration by any unapproved third party;
      • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
      • That contains any computer viruses, worms or other potentially damaging computer programs or files.
      You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


      For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


      All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

      Accept


      Inspired by your browsing history


      Your review has been submitted!

      You've already reviewed this product!