A SURVEY ON OPTIMIZED MILK DISTRIBUTION PROCESS USING HYBRID RULE GENERATION TECHNIQUES IN MILK BIG DATA SERVERS

Abstract

Milk consumption is one of the most basic needs for the human; so as to transport milk in order to fulfil the basic human need is quite a challenging task. Milk distribution and safety is of high concern as it involves the health of 90% of our society. A brand new mathematical model required for cold chain and maintenance and milk spoilage avoidance. Traditionally milk is supplied in cans with minimum monitoring which may result in milk getting spoiled before its use especially during transportation delay and time management milk has been spoiled completely. To overcome these problems first fetched the data of drivers from big data servers to generate the analytic algorithm to improve the time delay. The aim of the research work is to improve end to end distribution process of smart milk cooperation by applying our algorithm that will help to improve the factors of time delay, spoiled milk and predict production demand in future using existing big data available.