A Data Architecture to aid Life Cycle Assessment in closed-loop Reusable Plastic Container networks
| Autor: | Riccardo Accorsi, Luca Volpe, Giulia Baruffaldi, Riccardo Manzini |
|---|---|
| Přispěvatelé: | Baruffaldi, G., Accorsi, R., Volpe, L., Manzini, R. |
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Data collection Database Computer science Process (engineering) LCA Node (networking) closed-loop supply chain 02 engineering and technology Reusable plastic crate computer.software_genre Industrial and Manufacturing Engineering object-oriented database Set (abstract data type) database architecture 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Artificial Intelligence Container (abstract data type) Environmental impact assessment Data architecture computer Life-cycle assessment |
| Zdroj: | Procedia Manufacturing. 33:398-405 |
| ISSN: | 2351-9789 |
| Popis: | Returnable container networks have caught the eye of those companies that aim to reduce waste generation and environmental impact. The literature already includes studies on the environmental impact (i.e. Life Cycle Assessment, LCA) of these networks. However, the major part is based on secondary data since the collection of primary data is complex and time-intensive. This paper proposes an object-relational database dedicated to the storage of data from a closed-loop reusable plastic crates (RPC) networks for fruits and vegetables. The goal is supporting scholars and managers during the LCA through a user-friendly data architecture, while suggesting structured guidelines for the primary data collection. Each node of the RPC network is characterized by a similar set of entity types, such as machines, which allows to process the RPCs with respect to specific cycles. Each entity, process and cycle are therefore reflected in the database by objects that are connected with relations. |
| Databáze: | OpenAIRE |
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