Big Data Driven Agricultural Products Supply Chain Management: A Trustworthy Scheduling Optimization Approach

Big Data Driven Agricultural Products Supply Chain Management: A Trustworthy Scheduling Optimization Approach

Big data is promoting the development of supply chain design and management. The problem of trustworthy scheduling by using big data is challenging, and it significantly influences the performance of agricultural products supply chain (APSC) management. Currently, there are various approaches to opt...

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Bibliographic Details
Main Authors: Qian Tao, Chunqin Gu, Zhenyu Wang, Joseph Rocchio, Weiwen Hu, Xinzhi Yu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Big data
scheduling of APSC
optimization
evolutionary algorithm
trustworthiness
Online Access:https://ieeexplore.ieee.org/document/8451877/

Internet

https://ieeexplore.ieee.org/document/8451877/

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