Abstract:The environmental impacts of global food supply chains are growing with the need for their measurement and management. This paper explores the operations of a global supply chain for extra-virgin olive oil (EVOO) according to a life cycle assessment (LCA) methodology. The LCA assessment methodology is applied to determine the environmental impact categories associated with the bottled EVOO life cycle, focusing on packaging decisions. The proposed analysis identifies the greatest environmental stressors of the EVOO supply chain, thereby supporting strategic and operative decisions toward more efficient and environmentally-friendly operations management and packaging choices. This paper quantifies the environmental categories of the impacts of global warming potential, ozone layer depletion, non-renewable energy use, acidification, eutrophication and photochemical smog, for the observed EVOO supply chain, given alternative packaging configurations, i.e., a glass bottle vs. a plastic bottle. The observed system includes the supply of EVOO, the EVOO processing and bottling, the supply of packaging, the distribution of final products to customers, the end-of-life (EOL) treatments regarding the management, recycling and the disposal of waste across a global supply chain. The findings from the LCA highlight the potential of PET bottles in reducing the environmental impact of EVOO supply chains and identifies hotspots of discussion for policy-makers, EVOO producers and consumers.
Modern food production-distribution processes represent a critical stressor for the environment and for natural ecosystems. The rising flows of food across growing and consumption areas couple with the higher expectations of consumers for the quality of products and compel the intensive use of refrigerated rooms and transport means throughout the food supply chain. In order to aid the design of sustainable cold chains that incorporate such aspects, this paper proposes a mixed integer linear programming model to minimize the total energy consumption associated with the cold operations experienced by perishable products. This model is intended for food traders, logistics practitioners, retail managers, and importers collaboratively called to design and plan a cost and environmentally effective supply strategy, physical channels, and infrastructures for cold chains. The proposed model is validated with a case study inspired by the distribution of two example food products, namely fresh apples and ice cream, along the New Silk Road connecting Europe and China. The illustrated analysis investigates the effect of alternative routes and transport modes on the sustainability of the cold chain. It is found that the most energy-efficient route for ice cream is via rail over a northern route and, for apples, is via a southern maritime route, and, for these two routes, the ratios of the total energy consumed to the energy content of the food are 760 and 913, respectively. By incorporating the energy lost due to the food quality decay, the model identifies the optimal route to adopt in accordance with the shelf life and the conservation temperature of each product.
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