Sustainable agri-food supply chain planning through multi-objective optimisation

Esteso, Ana; Ruiz, Leonor Pérez; Ortíz, Ángel

doi:10.1080/12460125.2023.2180138

Cited by 5 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Domain-specific knowledge on agri-food supply chains indicates that many models focus on the agricultural part of the supply chain as opposed to all the nodes of the supply chain, and do not consider decisions that should be made simultaneously such as when to plant, harvest, not serve demand, employ laborers, etc. [50].…”

Section: Literature Reviewmentioning

confidence: 99%

Feature extraction for artificial intelligence enabled food supply chain failure mode prediction

Trollman

2024

Discov Food

View full text Add to dashboard Cite

The Farm to Fork Strategy of the European Commission is a contingency plan aimed at always ensuring a sufficient and varied supply of safe, nutritious, affordable, and sustainable food to citizens. The learning from previous crises such as COVID-19 indicates that proactive strategies need to span numerous levels both within and external to food networks, requiring both vertical and horizontal collaborations. However, there is a lack of systematic performance management techniques for ripple effects in food supply chains that would enable the prediction of failure modes. Supervised learning algorithms are commonly used for prediction (classification) problems, but machine learning struggles with large data sets and complex phenomena. Consequently, this research proposes a manual approach to feature extraction for artificial intelligence with the aim of reducing dimensionality for more efficient algorithm performance, and improved interpretability/explainability for benefits in terms of ethics and managerial decision-making. The approach is based on qualitative comparative analysis informed by in-depth case knowledge which is refined through Boolean logic, yielding solutions that reflect complex causality as opposed to single failure point modes. Two case exemplars are presented to support the proposed framework for implementation: export readiness of dairy supply chains under the Russia-Ukraine war, and egg supply chain sustainability during COVID-19 lockdown in the United Kingdom.

show abstract

Section: Literature Reviewmentioning

confidence: 99%