{"id":6201,"date":"2025-02-14T09:57:17","date_gmt":"2025-02-14T08:57:17","guid":{"rendered":"https:\/\/www.eratio.it\/?post_type=ricerca_e_sviluppo&#038;p=6201"},"modified":"2025-02-14T10:09:29","modified_gmt":"2025-02-14T09:09:29","slug":"reward-food","status":"publish","type":"ricerca_e_sviluppo","link":"https:\/\/www.eratio.it\/en\/ricerca_e_sviluppo\/reward-food\/","title":{"rendered":"Reward food"},"content":{"rendered":"<figure class=\"wp-block-table\"><table><tbody><tr><td>Development of an analytical model that, given the quantity of waste in the dairy supply chain, allows for the identification of potential transformers interested in their transformation.<br><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td>Each year in Italy, in terms of production waste, more than 30 million tons of milk are discarded, equivalent to 120.000 Olympic-sized swimming pools1. Biotechnologies and circular economy can contribute to making the dairy supply chain more sustainable by aiding in the recovery of waste and\/or by-products from milk processing. The main by-product of cheese production is whey, which contains casein and already has various industrial applications. It can be utilized in the production of yarns and fabrics, packaging materials and construction materials. The project develops an analytical model that, given the quantity of wastes in the dairy supply chain, allows for the identification of the possible transformers interested in their transformation. A Decision Support System (DSS) will be implemented, utilizing analytical algorithms and multicriteria decision methods. Through the development of a multi-user web platform accessible via browsers and apps, the DSS will guide the company in identifying the \u201cbest\u201d transformer. The system will allow the dairy company to input types, quantities and prices of waste and enable transformers to express their demand. It also provides indicators to assess the environmental impact of processes for a potential voluntary certification of sustainability (i.e. \u201cRe.Wa.R.D. Food\u201d protocol).<br>Il progetto sviluppa un modello analitico che, data la quantit\u00e0 di rifiuti nella filiera lattiero-casearia, permette di identificare i possibili trasformatori interessati alla loro trasformazione. Verr\u00e0 implementato un Decision Support System (DSS) che utilizzer\u00e0 algoritmi analitici e metodi decisionali multicriterio. Attraverso lo sviluppo di una piattaforma web multiutente accessibile tramite browser e app, il DSS guider\u00e0 l'azienda nell'individuazione del \u201cmiglior\u201d trasformatore.<br>Il sistema consentir\u00e0 all'azienda lattiero-casearia di inserire tipologie, quantit\u00e0 e prezzi degli scarti e ai trasformatori di esprimere la propria domanda. Inoltre, fornir\u00e0 indicatori per valutare l'impatto ambientale dei processi, al fine di ottenere una possibile certificazione volontaria di sostenibilit\u00e0 (ad esempio, il protocollo \u201cRe.Wa.R.D. Food\u201d).<br><br>Re.Wa.R.D. Food promotes environmental, social, and economic sustainability in agri-food chains through the development of technological and social innovations that make food chains more sustainable and efficient. It aligns with the research themes of SPOKE 1 - \u201cGLOBAL SUSTAINABILITY,\u201d as it aims to promote the reduction and recovery of by-products\/waste from agri-food chains through circular economy models. This target will be achieved by developing new digital technologies for managing waste from agri-food chains, implementing new solutions for integrated and sustainable logistics, and creating intelligent and smart supply chains to reduce waste.<br>Questo obiettivo sar\u00e0 raggiunto mediante lo sviluppo di nuove tecnologie digitali per la gestione degli scarti agroalimentari, l'implementazione di soluzioni innovative per una logistica integrata e sostenibile, e la creazione di filiere intelligenti e smart per ridurre gli sprechi.<\/td><\/tr><\/tbody><\/table><\/figure>","protected":false},"featured_media":6202,"template":"","categoria_di_ricerca":[24],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.7.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Reward food - e.RATIO<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.eratio.it\/en\/ricerca_e_sviluppo\/reward-food\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Reward food - e.RATIO\" \/>\n<meta property=\"og:description\" content=\"Sviluppo di un modello analitico che, data la quantit\u00e0 di rifiuti nella filiera lattiero-casearia, permette di identificare i possibili trasformatori interessati alla loro trasformazione. Ogni anno in Italia, in termini di scarti di produzione, vengono eliminate oltre 30 milioni di tonnellate di latte, equivalenti a 120.000 piscine olimpioniche. 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