6533b86ffe1ef96bd12cea24
RESEARCH PRODUCT
Predictive shelf life model based on RF technology for improving the management of food supply chain: A case study
Mario EneaLuca SettanniGiada La ScaliaRosa Micalesubject
0301 basic medicineEngineeringmedia_common.quotation_subject030106 microbiologyRF technologyShelf lifeIndustrial and Manufacturing EngineeringManagement Information Systems03 medical and health sciencesRf technologyManagement of Technology and InnovationFood supplySettore ING-IND/17 - Impianti Industriali Meccanici0502 economics and businessQuality (business)Electrical and Electronic Engineeringmedia_commonbusiness.industry05 social sciencesReliability engineeringIdentification (information)SustainabilitySystems engineeringbusiness050203 business & managementSettore AGR/16 - Microbiologia AgrariaData transmissiondescription
The aim of this paper was the development of a Smart Logistic Unit (SLU) based on RF technology to support the management of the food supply chain, in order to guarantee the shelf life of products in agreement with logistic efficiency and system sustainability. For this purpose, the main parameters that influence the quality of perishable products were determined and a shelf life equation based on Volatile Organic Compounds (VOCs) was modelled. The levels of VOCs were gathered by the sensors allocated inside the SLU, which configures as the remote element of a system for identification and data transmission. The proposed model was then validated through an experimental test, simulating the real life transport conditions.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-01-19 | International Journal of RF Technologies |