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Green Manufacturing

  • Xi'an University of Technology
  • Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

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.

Original languageEnglish
Title of host publicationEnterprises’ Green Growth Model and Value Chain Reconstruction
Subtitle of host publicationTheory and Method
PublisherSpringer Nature
Pages225-250
Number of pages26
ISBN (Electronic)9789811939914
ISBN (Print)9789811939907
DOIs
StatePublished - 1 Jan 2022

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