Open AccessFood Supply System Analysis Method and Information System Establishment with Quantitative Analysis
Author(s) -
Chen Yu,
Yanxi Zeng,
Jiatao Du
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1982/1/012150
Subject(s) - profitability index , principal component analysis , index (typography) , per capita , entropy (arrow of time) , computer science , food systems , agricultural engineering , environmental economics , agriculture , econometrics , food security , economics , engineering , geography , population , physics , demography , archaeology , finance , quantum mechanics , sociology , world wide web , artificial intelligence
Because a vast global system of national and international food producers and distributors controls the lifeblood of global food, our global food system is unstable even in well-functioning parts of the world. Therefore, it is particularly important to establish a food system that takes efficiency and profitability as the main considerations and allows for relatively cheap and efficient food production and distribution. In this paper, on the basis of the existing evaluation indicators of grain system, we establish a multi-level index system through principal component analysis. After that, we integrate the index into the grain system index through entropy weight method and coefficient of variation method, and establish a comprehensive evaluation model. On the basis of the evaluation model, the index is calculated twice, and the optimization model is established combined with the multi-objective programming algorithm. The simulation results show that the two weights of energy efficiency and per capita cultivated land area account for a large proportion in the optimized system.