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.
AielloG., La ScaliaG., & MicaleR. (2011) Simulation analysis of cold chain performance based on time–temperature data. Production Planning & Control, 1–9.
2.
BarchiG.L., BerardinelliA., GuarnieriA., RagniL., & FilaC.T. (2002) Damage to Loquats by Vibration-simulating Intra-state Transport. Biosystems Engineering, 82, 305–312.
3.
BerardinelliA., DonatiV., GiunchiA., GuarnieriA., & RagniL. (2004) Damage to pears caused by simulated transport. Journal of Food Engineering, 66, 219–226.
4.
BertoliniM., BottaniE., RizziA., VolpiA., & RenziP. (2013) Shrinkage reduction in perishable food supply chain by means of an RFID-based FIFO management policy. International Journal of RF Technologies: Research and Applications, 5(3-4), 123–136.
5.
BottaniE., & MontanariR. (2013) RFID and real time localization systems for warehouse management: A model for technical and economic evaluation. International Journal of RF Technologies: Research and Applications, 4(3-4), 209–245.
6.
CatarinucciL., CuiasI., ExpositoI., ColellaR., FernndezJ.A.G., & TarriconeL. RFID and WSNs for traceability of agricultural goods from Farm to Fork: Electromagnetic and deployment aspects on wine test-cases. Software, Telecommunications and Computer Networks (SoftCOM), 2011 19th International Conference on, 2011. IEEE, 1–4.
7.
ChitiF., De CristofaroA., FantacciR., TarchiD., CollodoG., GiorgettiG., & ManesA. Energy efficient routing algorithms for application to agro-food wireless sensor networks. Communications, 2005. ICC 2005. 2005 IEEE International Conference on, 2005. IEEE, 3063–3067.
8.
ChonhenchobV., SittipodS., SwasdeeD., RachtanapunP., SinghS.P., & SinghJ. (2009) Effect of truck vibration during transport on damage to fresh produce shipments in Thailand. Journal of Applied Packaging Research, 3(1), 27–38.
9.
CorboM.R., Del NobileM.A., & SinigagliaM. (2006) A novel approach for calculating shelf life of minimally processed vegetables”. International Journal of Food Microbiology, 106, 69–73.
10.
DalgaardP. (1995) Modelling of microbial activity and prediction of shelf life of packed fresh fish. International Journal of Food Microbiology, 26, 305–317.
11.
Do Nascimento NunesM.C., NicometoM., EmondJ.P., MelisR.B., & UysalI. (2014) Improvement in fresh fruit and vegetable logistics quality: Berry logistics field studies. Phil Trans R Soc A, 372, 20130307. doi: 10.1098/rsta.2013.0307
12.
EmondJ.P., & NicometoM. (2006) Shelf-life prediction and FEFO inventory management with RFID. In Cool Chain Association Workshop: Temperature Measurements: When, Where and How? Knivsta, Sweden, 13–14 November 2006. Bremen, Germany: Cool Chain Association
13.
HertogM.L., UysalI., McCarthyU., VerlindenB.M., & NicolaíB.M. (2014) Shelf life modelling for first-expired-first-out warehouse management. Phil Trans R Soc A, 372, 20130306. doi: 10.1098/rsta.2013.0306
14.
JedermannR., PraegerU., GeyerM., & LangW. (2014) Remote quality monitoring in the banana chain. Phil Trans R Soc A, 372, 20130303. doi: 10.1098/rsta.2013.0303
15.
KoutsoumanisK., StamatiouA., SkandamisP., & NychasG.-J.E. (2006) Development of a Microbial Model for the Combined Effect of Temperature and pH on Spoilage of Ground Meat, and Validation of the Model under Dynamic Temperature Conditions”. Applied and Environmental Microbiology, 72(1), 124–134.
16.
LabuzaT.P. (1984) Application of chemical kinetics to deterioration of foods. Journal of Chemical Education, 61, 348–435.
17.
LakshmilV.R., & VijayakumarS. (2012) Wireless Sensor Network based Alert System for Cold Chain Management. Procedia Engineering, 38, 537–543. LEE, B.S., & SHIN, H.S. (2012). Polymer-based time-temperature indicator for high temperature processed food products. Food Science And Biotechnology, 21, 1483–1487.
18.
La ScaliaG., AielloG., MiceliA., NascaA., AlfonzoA., & SettanniL. (2015) Effect of Vibration on the Quality of Strawberry Fruits Caused by Simulated Transport. Journal of Food Process Engineering, (in press).
19.
MayrD., MargesinR., KlingsbichelE., HartungenE., JeneweinD., SchinnerF., & MarkT.D. (2003) Rapid Detection of Meat Spoilage by Measuring Volatile Organic Compounds by Using Proton Transfer Reaction Mass Spectrometry. Applied and Environmental Microbiology, 4697–4705.
20.
MedinaM.S., TudelaJ.A., MarínA., AllendeA., & GilM.I. (2012) Short postharvest storage under low relative humidity improves quality and shelf life of minimally processed baby spinach (Spinacia oleracea L. Postharvest Biology and Technology, 67, 1–9.
21.
MoraisR., ValenteA., & SerdioC. (2005) A wireless sensor network for smart irrigation and environmental monitoring: A position article. 5th European federation for information technology in agriculture, food and environement and 3rd world congress on computers in agriculture and natural resources (EFITA/WCCA), 845–850.
22.
WangX., JabbariA., JedermannR., LaurR., & LangW.. Adaptive data sensing rate in ad-hoc sensor networks for autonomous transport application. Information Fusion (FUSION), 2010 13th Conference on, 2010. IEEE, 1–8.
23.
YangH., YangL., & YangS.H. (2011) Hybrid Zigbee RFID sensor network for humanitarian logistics centre management. Journal of Network and Computer Applications, 34, 938–948.
24.
YuP., LiC., RainsG., & HamritaT. (2011) Development of the Berry Impact Recording Device sensing system: Hardware design and calibration. Computers and Electronics in Agriculture, 79, 103–111.
25.
SahinE., BabaíM.Z., DalleryY., & VaillantR. (2007) Ensuring supply chain safety through time temperature integrators. The International Journal of Logistics Management, 18(1), 102–124.
26.
TijskensL.M.M., & PolderdijkJ.J. (1996) A generic model for keeping quality of vegetable produce during storage and distribution. Agric Syst, 51, 431–452. doi: 10.1016/0308-521X(95)00058-D.
27.
ZhangJ., LiuL., MuW., MogaL.M., & ZhangX. (2009) Development of temperature-managed traceability system for frozen and chilled food during storage and transportation. Journal of Food, Agriculture & Environment, 7, 28–31.
