A data-driven based decomposition–integration method for remanufacturing cost prediction of end-of-life products-Reference-Cited by-同舟云学术

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A data-driven based decomposition–integration method for remanufacturing cost prediction of end-of-life products

Published:2020-02 Issue: Volume:61 Page:101838
ISSN:0736-5845
Container-title:Robotics and Computer-Integrated Manufacturing
language:en
Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

Jiang Zhigang^ORCID,Ding Zhouyang,Liu Ying,Wang Yan,Hu Xiaoli,Yang Yihua

Funder

National Natural Science Foundation of China

College Students Science and Technology Innovation Fund of Wuhan University of Science and Technology

Wuhan University of Science and Technology Graduate Innovation and Entrepreneurship Fund

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference35 articles.

1. A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products;Zhang;J Clean Prod,2017

2. An integrated approach of reverse engineering aided remanufacturing process for worn components;Li;Robot Comput Integr Manuf,2017

3. The research of application big data analytics to the parts remanufacturing economic evaluation;Ye,2014

4. Development of design for remanufacturing guidelines to support sustainable manufacturing;Ijomah;Robot Comput Integr Manuf,2007

5. A hybrid approach of rough set and case-based reasoning to remanufacturing process planning;Jiang;J Intell Manuf,2019

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