A Sustainable Multi-objective Optimisation Model for a From-Farm-to-Fork Network Design Considering Time-Dynamic Temperature-Linked Perishability

The dragged attention from the sustainability triangle has steered up manifold supply chain costs and discarded food. Additionally, the configuration of dynamic temperatures with multimodal transport has been neglected by existing food network designs and most optimisation models. Therefore, this paper proposes a muti-objective, multi-product, and multi-echelon mathematical model for “from-farm-to-fork” logistics networks while considering multi-dimensional sustainability, multimodal transport, and time-dynamic temperature-linked perishability. Due to the trait of the multi-objective optimisation problem, the epsilon constraint approach is employed to obtain separate Pareto-optimal solutions, yielding a crossbreed of trade-offs between total supply chain costs, carbon emissions, and job opportunities. To credit the model, real-life data is collected from the stakeholders and entities involved in the tropical fruit traders in Thailand. This investigation elaborates on the compromised impact in which emphasising one aspect of sustainability on unstable temperature circumstances can simultaneously influence the other sustainable dimensions, aiding policymakers in enclosing the optimal non-dominated solution to company directions for sustainability with the eye of fruit ripeness.