MATEC Web of Conferences
Volume 44, 20162016 International Conference on Electronic, Information and Computer Engineering
|Number of page(s)||7|
|Section||Computer, Algorithm, Control and Application Engineering|
|Published online||08 March 2016|
- Ghazaleh Tajik, Amir Hossein Azadnia, “A Hybrid Fuzzy MCDM Approach for Sustainable Third-Party Reverse Logistics Provider Selection,” Advanced Materials Research Vol. 845, (2014) pp.521–526. [Google Scholar]
- Hernandez-Hernandez, Helga J. Design of multi-product/multi-period closed-loop reverse logistics network using a genetic algorithm. Source: IEEE Proceedings Symposium on Computational Intelligence in Production and Logistics Systems, January 12, (2015), pp 40–47. [Google Scholar]
- Li-xia Su, Zhao-hua Wang and Li Su, “The impact of information sharing on reverse logistics performance based on Canonical Correlation Analysis,” Information Management, Innovation Management and Industrial Engineering (ICIII), (2012), pp 167–170. [Google Scholar]
- WANG Zhong-jie and XU Xiao-fei, “Bilateral resource integration service mode for value innovation,” Computer Integrated Manufacturing Systems, Vol. 15, No.11, (2009), pp 2216–2225. [Google Scholar]
- Weidong Guo, “Selection Model of Third-party Reverse Logistics Service Providers Under supply chain management,” Control and Decision Conference (CCDC), (2012), pp 1761–1764. [Google Scholar]
- Zeng, Amy Z Coordination mechanisms for a three-stage reverse supply chain to increase profitable returns. Source: Naval Research Logistics, February, v 60, n 1, (2013), pp31–45. [CrossRef] [Google Scholar]
- Zhao Jian guang, “Basic research on reverse logistics implemented by enterprise,” Mechatronic Science, Electric Engineering and Computer (MEC), (2011), pp 807–810. [Google Scholar]
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