Published March 14, 2018
| Version v1
Journal article
Open
Conceptual framework for designing agri-food supply chains under uncertainty by mathematical programming models
Authors/Creators
-
1.
Universitat Politècnica de València
- 2. Centro de Investigación en Gestión e Ingeniería de Producción (CIGIP)
Description
This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 14 March 2018, available at: https://doi.org/10.1080/00207543.2018.1447706
Files
AFSC Design EoA - load IJPR.pdf
Additional details
Identifiers
- DOI
- 10.1080/00207543.2018.1447706
- Handle
- 10251/125114
Funding
- European Commission
- RUC-APS - Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems 691249
- Generalitat Valenciana
- Development of an integrated maturity model for agility, resilience and gender perspective in supply chains (MoMARGE). Application to the agricultural sector GV/2017/025
- Ministerio de Educación Cultura y Deporte
- Formación de Profesorado Universitario FPU15/03595
Dates
- Accepted
-
2018-03-14
References
- Esteso, A., Alemany, M.M.E., & Ortiz, A. (2018). Conceptual framework for designing agri-food supply chains under uncertainty by mathematical programming models. International Journal of Production Research, 56(13), 4418-4446. https://doi.org/10.1080/00207543.2018.1447706