Abstract
Since the industrial revolution, the economies of scale have been widely exploited in the food production. A centralised production reduces the manufacturing cost, however the transport costs and the CO2 emissions of process and distribution systems can increase. In this paper, we explore several scenarios that could affect the optimum food supply chain configuration. For this purpose, we propose a novel framework, we call the Honeycomb model, that integrates the techno-economic analysis and environmental impact for the design of an optimum configuration (processing plant capacities, location
of the facilities, suppliers, etc.). We use the production of tomato paste as an illustrative case study. The results highlight the importance of the carbon footprint of the raw materials on the predicted configuration for agro-based products. In some cases, the CO2 emissions associated with the agricultural activities far exceed the CO2 from the transportation, turning the food miles an unreliable metric of sustainability.
of the facilities, suppliers, etc.). We use the production of tomato paste as an illustrative case study. The results highlight the importance of the carbon footprint of the raw materials on the predicted configuration for agro-based products. In some cases, the CO2 emissions associated with the agricultural activities far exceed the CO2 from the transportation, turning the food miles an unreliable metric of sustainability.
Original language | English |
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Title of host publication | European Symposium on Computer-Aided Process Engineering |
DOIs | |
Publication status | Accepted/In press - 5 Feb 2017 |
Event | 27th European Symposium on Computer-Aided Process Engineering - Barcelona, Spain Duration: 1 Oct 2017 → 5 Oct 2017 http://www.wcce10.org/index.php/jointevents/escape27 |
Conference
Conference | 27th European Symposium on Computer-Aided Process Engineering |
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Abbreviated title | ESCAPE-27 |
Country/Territory | Spain |
City | Barcelona |
Period | 1/10/17 → 5/10/17 |
Internet address |
Keywords
- Supply chain
- distributed/centralised manufacturing
- Optimisation