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Spletna aplikacija za nadzor sensorskih podatkov v preskrbovalni verigi
MIKUŠ, SANDI (Author), Trebar, Mira (Mentor) More about this mentor... This link opens in a new window

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Abstract
V okviru diplomske naloge je bila izdelana spletna aplikacija, ki omogoča analizo podatkov o temperaturah, ki so bile izmerjene v preskrbovalni verigi in izračun preostale dobe uporabnosti. Aplikacija je na voljo podjetjem in potrošnikom, ki imajo na voljo različno količino podatkov za pridobitev informacij o živilskih proizvodih. S pomočjo aplikacije je mogoče pregledovati nihanja temperature izdelka v času skladiščenja in med transportom. Sama aplikacija omogoča uporabo dveh različnih dostopov oz. pregledov nad podatki. Osnovni - gostujoči pogled na podatke, ki je namenjen potrošnikom. Razširjen pogled je namenjen uporabnikom neposredno v stiku s hladno verigo in jim omogoča celovit pregled podatkov vključno z obveščanjem. Obveščanje je samodejno in se izvede med analizo. Uporabnik z razširjenim dostopom tako v obvestilu izve podatke o napaki.

Language:Slovenian
Keywords:hladna veriga, temperatura, spletna aplikacija, doba uporabnosti
Work type:Bachelor thesis/paper (mb11)
Organization:FRI - Faculty of computer and information science
Year:2014
Views:942
Downloads:235
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Secondary language

Language:English
Title:Web application to control sensory data in the supply chain
Abstract:
The thesis describes the web application used for analysing temperature data measured in a supply chain and calculation of the remaining shelf life. The application is used for both businesses and consumers who have various amount of data. Fluctuations in temperature of the product during storage and transportation can be reviewed with the help of the web application. The application itself allows you to use two different types of accesses or reviews for data; guest access and expanded access. Guest access is designed for consumers of those products. Expanded access is designed for users in direct contact with the cold chain and allows them a comprehensive overview of data and information. Information is automatic and ran during the analysis allowing the user to receive detailed information of any error.

Keywords:cold chain, temperature, web application, shelf life

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