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Optimising agri-food supply chains: Managing food waste through harvest and side-stream valorisation

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Abstract

The importance of reuse and valorisation as a means to enhance sustainable production practices, by reducing waste streams through the recovery of resources in the chain, is increasingly recognised. Confronted with new challenges in the context of climate change, the food and agricultural sector stands to benefit, in particular, from valorising (edible) side streams, such as unharvested crop parts and vegetable peels, that are often overlooked by consumers. Focusing on side-stream valorisation strategies within food processing facilities, this research develops a mixed-integer optimisation model to support decision-makers in determining an optimal product portfolio and processing configuration. This model is solved for two key performance indicators, considering both the economic and the environmental impact, in the form of total profit and exergy loss. Examining potential trade-offs between the two objectives, we present a real-life case study from a carrot processing company. We explore several scenarios and case settings to investigate the impact of various factors on the potential of side-stream valorisation. The findings from our analysis demonstrate that side-stream valorisation seems to be generally well aligned with profit maximisation, while it is not always beneficial from an environmental impact perspective.
Original languageEnglish
Article number145349
Number of pages22
JournalJournal of Cleaner Production
Volume503
DOIs
Publication statusPublished - 25 Apr 2025

Funding

This work was supported by the AI Planner of the Future program , which is funded by the European Supply Chain Forum (ESCF) , The Eindhoven Artificial Intelligence Systems Institute (EAISI) , the Logistics Community Brabant (LCB) , and the Department of Industrial Engineering and Innovation Sciences (IE&IS) . This work was supported by the AI Planner of the Future program, which is funded by the European Supply Chain Forum (ESCF), The Eindhoven Artificial Intelligence Systems Institute (EAISI), the Logistics Community Brabant (LCB), and the Department of Industrial Engineering and Innovation Sciences (IE&IS). The numerical results of this work were carried out on the Dutch national e-infrastructure with the support of SURF Cooperative. We appreciate the help the HPC lab at the Eindhoven University of Technology provided in optimising our code. Furthermore, we thank vanRijsingen Carrot Concepts for their support during the data collection. We also want to thank the reviewers, who helped us improve our manuscript during the revision of this paper.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • By-products
  • Circular food supply chains
  • Exergy loss
  • Food manufacturing
  • Mixed-integer optimisation model
  • Perishability

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