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Decision-making system for the resource forecasting and risk management using regression algorithms
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 Title & Authors
Decision-making system for the resource forecasting and risk management using regression algorithms
Han, Hyung-Chul; Jung, Jae-Hun; Kim, Sin-Ryeong; Kim, Young-Gon;
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 Abstract
In this paper, in order to increase the production efficiency of the industrial plant, and predicts the resources of the manufacturing process, we have proposed a decision-making system for resource implementing the risk management effectively forecasting and risk management. A variety of information that occurs at each step efficiently difficult the creation of detailed process steps in the scenario you want to manage, is a frequent condition change of manufacturing facilities for the production of various products even within the same process. The data that is not contiguous products production cycle also not constant occurs, there is a problem that needs to check the variation in the small amount of data. In order to solve these problems, data centralized manufacturing processes, process resource prediction, risk prediction, through a process current status monitoring, must allow action immediately when a problem occurs. In this paper, the range of change in the design drawing, resource prediction, a process completion date using a regression algorithm to derive the formula, classification tree technique was proposed decision system in three stages through the boundary value analysis.
 Keywords
regression algorithm;resource forecasting;risk management;decision-making system;classification tree;boundary value analysis;
 Language
Korean
 Cited by
 References
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