Circular economy meets industry 4.0: Can big data drive industrial symbiosis?

• Main Authors: Tseng, Ming Lang, Tan, Raymond Girard R., Chiu, Anthony S.F., Chien, Chen Fu, Kuo, Tsai Chi
• Format: text
• Published: Animo Repository 2018
• Subjects: Industry 4.0; Industrial ecology; Big data; Chemical Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2189; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3188/type/native/viewcontent
• Institution: De La Salle University

Cross-industry networks of multiple supply chains have evolved in the circular economy model using approaches such as industrial and urban symbiosis. However, the implementation of such sustainable industrial networks with matrix-like structures is not straightforward. Despite the clear benefits of big data-driven industrial symbiosis, corporates have noted that social, environmental and economic perspectives are also highly appreciated in the cross-industry networks. Moreover, gaps remain in operational data-driven and recycle, reduce and reuse optimization solutions, which may be the key components of industrial symbiosis practices. © 2017 Elsevier B.V.