Semantic Scholar Open Access 2019 217 sitasi

Big data for agri-food 4.0: Application to sustainability management for by-products supply chain

J. Belaud N. Prioux C. Vialle C. Sablayrolles

Lihat Sumber DOI

Abstrak

The bioconversion of lignocellulosic biomass is a promising method for the production of bio-energy, biomolecules and biomaterials. Pretreatment of the lignocellulosic biomass is an essential step in this process. The choice of pretreatment process is a difficult one, and there are currently no clear criteria on which to base this choice. This project, with its sustainability and agri-food perspective, used environmental impacts to assess the various processes and their panels of technologies. The approach developed integrates big data, to improve sustainability management in supply chain design, with the aim of valorising agricultural waste. In five main steps, this approach combines concepts from industry 4.0, sustainability and the agri-food industry. We apply this approach to a case study in the domain of agricultural waste valorisation: the pretreatment of lignocellulosic biomass in the rice supply chain.

Topik & Kata Kunci

Business Computer Science

Penulis (4)

J. Belaud

N. Prioux

C. Vialle

C. Sablayrolles

Format Sitasi

APA MLA BibTeX

Belaud, J., Prioux, N., Vialle, C., Sablayrolles, C. (2019). Big data for agri-food 4.0: Application to sustainability management for by-products supply chain. https://doi.org/10.1016/J.COMPIND.2019.06.006

Akses Cepat

Lihat di Sumber doi.org/10.1016/J.COMPIND.2019.06.006

Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Total Sitasi: 217×
Sumber Database: Semantic Scholar
DOI: 10.1016/J.COMPIND.2019.06.006
Akses: Open Access ✓