Mathematical Model for Optimal Agri-Food Industry Residual Streams Flow Management: A Valorization Decision Support Tool
We present a mathematical model for agri-food industry residual streams flow management, which serves as a decision support tool for optimizing their valorization. The aim is to determine, under a cost-benefit analysis approach, the best strategy at a global level. The proposed mathematical model provides the optimal valorization scenario, namely the set of routes followed by agri-food industry residual streams that maximizes the total profit obtained. The model takes into account the complete stoichiometry of the residual stream at each step of the valorization route. Furthermore, the model allows for the calculations of different scenarios to support decision-making. The proposed approach is illustrated through a case study using a real-case network of a region. The case study bears evidence that the use of the model can lead to significant profit increases compared to those obtained with current practices. Moreover, notable profit improvements are obtained in the case study if the selling price of all the value-added products considered increases or if the processing cost of the animal feed producer decreases. Therefore, our model enables the detection of key factors that influence the optimal strategy, making it a powerful decision-support tool for optimizing the valorization of agri-food industry residual streams.
Authors
- Xabier Insausti (ORCID: https://orcid.org/0000-0001-9628-0681)
- Jesús Gutiérrez-Gutiérrez (ORCID: https://orcid.org/0000-0001-7423-5505)
- Marta Zárraga-Rodríguez (ORCID: https://orcid.org/0000-0002-1866-8004)
- Tamara Fernández-Arévalo (ORCID: https://orcid.org/0000-0003-4967-1297)
- Fernando M. Villar-Rosety (ORCID: https://orcid.org/0000-0003-0548-7383)
- Adam Podhorski (ORCID: https://orcid.org/0000-0002-5567-9503)
- Luís Sancho (ORCID: https://orcid.org/0000-0003-1623-375X)
- Íñigo Barasoain-Echepare (ORCID: https://orcid.org/0000-0002-1592-0868)
- E. Ayesa (ORCID: https://orcid.org/0000-0002-8472-799X)
- Leire Besga-Oyanarte (ORCID: https://orcid.org/0000-0002-9968-9877)
- Sofía Jaray-Valdehierro (ORCID: https://orcid.org/0009-0003-6587-9917)
Institutions
- Centro de Estudios e Investigaciones Técnicas de Gipuzkoa (ES)
- Universidad de Navarra (ES)
Publication Details
- Journal
- Mathematics
- Published
- 2024-09-05
- DOI
- https://doi.org/10.3390/math12172753
- Citations
- 1
- Primary Topic
- Advanced Manufacturing and Logistics Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.35
Funders
- European Commission
- Horizon 2020 Framework Programme