Integration of Seasonal Autoregressive Integrated Moving Average and Bayesian Methods to Predict Production Throughput Under Random Variables

Analysing and modelling efforts on production throughput are getting more complex due to random variables in today’s dynamic production systems. The objective of this study is to take multiple random variables of production into account when aiming for production throughput with higher accuracy of...

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主要作者:	Amir, Azizi
格式:	Article
語言:	English
出版:	Faculty Mechanical Engineering, UMP 2014
主題:	TS Manufactures
在線閱讀:	http://umpir.ump.edu.my/id/eprint/8238/1/Integration_of_Seasonal_Autoregressive_Integrated_Moving_Average_and_Bayesian_Methods_to_Predict_Production_Throughput_Under_Random_Variables.pdf http://umpir.ump.edu.my/id/eprint/8238/ http://dx.doi.org/10.15282/jmes.7.2014.23.0121
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