publication . Article . 2017

A Big Data Decision-making Mechanism for Food Supply Chain

Guojun Ji; KimHua Tan;
Open Access English
  • Published: 01 Jan 2017 Journal: MATEC Web of Conferences (issn: 2261-236X, Copyright policy)
  • Publisher: EDP Sciences
Abstract
Many companies have captured and analyzed huge volumes of data to improve the decision mechanism of supply chain, this paper presents a big data harvest model that uses big data as inputs to make more informed decisions in the food supply chain. By introducing a method of Bayesian network, this paper integrates sample data and finds a cause-and-effect between data to predict market demand. Then the deduction graph model that translates foods demand into processes and divides processes into tasks and assets is presented, and an example of how big data in the food supply chain can be combined with Bayesian network and deduction graph model to guide production deci...
Subjects
free text keywords: Big data, Bayesian network, deduction graph model, food supply chain, Engineering (General). Civil engineering (General), TA1-2040, business.industry, business, Graph model, Food supply, Operations research, Data mining, computer.software_genre, computer, Supply and demand, Supply chain, Engineering
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