IDEAS home Printed from https://ideas.repec.org/a/bot/rivsta/v77y2017i2p109-131.html
   My bibliography  Save this article

Optimal Designs to Develop and Support an Experimental Strategy on Innovation of Thermoforming Production Process

Author

Listed:
  • Fabrizio Ronchi

    (Università degli Studi di Padova - Italy)

  • Luigi Salmaso

    (Università degli Studi di Padova - Italy)

  • Mattia De Dominicis

    (Reckitt Benckiser plc, R&D center, Slough - UK)

  • Juergen Illert

    (Reckitt Benckiser plc, R&D center, Heidelberg - Germany)

Abstract

The experimental strategy developed thanks to the DOE methodology enhance innovation capability in the field of thermoforming production processes for active packaging. It is composed of three phases: i) material characterization, ii) production in pilot line, and iii) performance of final product. It allows selection of material, and correlation between control factors in production and performances of final product. Use of optimal designs allows reduction of number of tests, and in the meantime a full exploration of factorial space

Suggested Citation

  • Fabrizio Ronchi & Luigi Salmaso & Mattia De Dominicis & Juergen Illert, 2017. "Optimal Designs to Develop and Support an Experimental Strategy on Innovation of Thermoforming Production Process," Statistica, Department of Statistics, University of Bologna, vol. 77(2), pages 109-131.
    • Handle: RePEc:bot:rivsta:v:77:y:2017:i:2:p:109-131
    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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rosa Arboretti & Riccardo Ceccato & Livio Corain & Fabrizio Ronchi & Luigi Salmaso, 2018. "Multivariate small sample tests for two-way designs with applications to industrial statistics," Statistical Papers, Springer, vol. 59(4), pages 1483-1503, December.

    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:bot:rivsta:v:77:y:2017:i:2:p:109-131. 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: Giovanna Galatà (email available below). General contact details of provider: https://edirc.repec.org/data/dsbolit.html .

    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.