IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-19-3991-4_10.html
   My bibliography  Save this book chapter

Green Manufacturing

In: Enterprises’ Green Growth Model and Value Chain Reconstruction

Author

Listed:
  • Qunli Yuchi

    (Xi’an University of Technology)

  • Nengmin Wang

    (Xi’an Jiaotong University)

  • Qi Jiang

    (Xi’an Jiaotong University)

  • Zhengwen He

    (Xi’an Jiaotong University)

Abstract

Green manufacturing is an important part of enterprises’ implementation of the green growth mode, and remanufacturing is one of the specific forms of green manufacturing. The development of the next generation Internet recycling model has increased the recycling channel of raw materials for remanufacturing and provided an effective guarantee for the effective implementation of remanufacturing. This chapter focuses on the relationship between green manufacturing and the enterprise green growth mode, and analyses the impact of obtaining remanufactured products from traditional channels and dual channels in enterprises’ green growth model. Dual channel refers to considering both traditional channels and online channels. Then, this chapter construct a single-channel that only considering traditional channels and dual-channel remanufacturing recycling network model. These two models determined the location decisions of the distribution centre and recycling centre, distribution route, recycling route, online order distribution route and inventory decision of the remanufacturing supply chain under the two channels. To solve these two models, a genetic algorithm with local search is proposed. Through a sensitivity analysis of key parameters, it is concluded that the dual-channel recycling mode not only increases the recycling cost in the value chain but also increases the utilization rate of waste products, reduces the inventory cost and transportation cost of the distribution centre, and promotes the effective implementation of the green growth mode of enterprises.

Suggested Citation

  • Qunli Yuchi & Nengmin Wang & Qi Jiang & Zhengwen He, 2022. "Green Manufacturing," Springer Books, in: Enterprises’ Green Growth Model and Value Chain Reconstruction, chapter 0, pages 225-250, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-3991-4_10
    DOI: 10.1007/978-981-19-3991-4_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.

    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:spr:sprchp:978-981-19-3991-4_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.