Title:
Green hydrogen, industrial symbiosis, and blockchain: enhancing sustainability and resilience in supply chains
Authors:
- Fernando Savian
- Henrique Luis Sauer Oliveira
- Leandro Tomasin da Silva
- Alessandro Neri
- Maria Angela Butturi
- Miguel Afonso Sellitto
Published in:
(2023). ECMS 2023, 37th Proceedings
Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation.
DOI: http://doi.org/10.7148/2023
ISSN: 2522-2422 (ONLINE)
ISSN: 2522-2414 (PRINT)
ISSN: 2522-2430 (CD-ROM)
ISBN: 978-3-937436-80-7
ISBN: 978-3-937436-79-1 (CD) Communications of the ECMS Volume 37, Issue 1, June 2023, Florence, Italy June 20th – June 23rd, 2023
DOI:
https://doi.org/10.7148/2023-0350
Citation format:
Fernando savian, Henrique luis sauer oliveira, Leandro tomasin da silva, Alessandro neri, Maria angela butturi, Miguel afonso sellitto (2023). Green hydrogen, industrial symbiosis, and blockchain: enhancing sustainability and resilience in supply chains, ECMS 2023, Proceedings Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation. doi:10.7148/2023-0350
Abstract:
The purpose of this article is to present two types of optimization
models for simultaneously increasing sustainability and resilience in
industrial supply chains. Sustainability increases when the chain as a whole
reduces its carbon footprint. Resilience increases when increasing the supply
chain's ability to recover from disruptive events. In principle, the objectives
are antagonistic. Some sustainability approaches advocate that efficiency
should increase, reducing supply alternatives and, consequently, the chain's
resilience. This article proposes to combine two supply strategies, green
hydrogen and industrial symbiosis, and a management strategy, blockchain, which
can simultaneously increase sustainability and resilience. Adding sources such
as green hydrogen and reusing material and energy waste generated by members of
the same or another supply chain reduce the carbon footprint (by replacing
fossil fuels and virgin raw materials). It also reinforces the supply chain,
adding redundant edges. The article discusses the requirements of two models to
optimize the implementation, one based on mixed integer linear programming and
the other based on agent-based simulation. A cloud information system based on
blockchain technology ensures data reliability.
Full text:
Download full text