IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v57y2019i8p2263-2280.html
   My bibliography  Save this article

Semi-quantitative method for task planning in product eco-design

Author

Listed:
  • Cheng Zhang
  • Haihong Huang
  • Lei Zhang
  • Zhifeng Liu

Abstract

Ensuring the environmental sustainability of products is challenging because it involves all the stages and processes throughout product life cycle. Product eco-design is essential to achieve it. In the proposed methodology, product eco-design is implemented based on five eco-design elements, namely, function, material, geometric structure, connection relationship and manufacturing process. However, because of the fragmentation of existing eco-design tools, the gap between eco-design evaluation and eco-design optimisation requires a new mechanism to seamlessly integrate them for efficient industrial applications. A new checklist tool called Checklist of Product Eco-design Optimisation Potential (CPEOP) is developed to assess product eco-design optimisation potential. Based on the new tool, optimisation effect of product eco-design can be quantitatively assessed. Furthermore, a novel semi-quantitative method for task planning in product eco-design is proposed, which involves evaluating the product with CPEOP, screening candidates for eco-design and determining the candidates’ optimisation directions. The uncertainties arising from CPEOP and enterprise design status quo are further analysed. Subsequently, a case study on a refrigerator is conducted to elucidate the process of the method and reveal its potential. The proposed method is then discussed through a comparison with two mainstream eco-design tools.

Suggested Citation

  • Cheng Zhang & Haihong Huang & Lei Zhang & Zhifeng Liu, 2019. "Semi-quantitative method for task planning in product eco-design," International Journal of Production Research, Taylor & Francis Journals, vol. 57(8), pages 2263-2280, April.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:8:p:2263-2280
    DOI: 10.1080/00207543.2018.1514474
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2018.1514474
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2018.1514474?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    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:taf:tprsxx:v:57:y:2019:i:8:p:2263-2280. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.