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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書誌詳細
第一著者:	Amir, Azizi
フォーマット:	論文
言語:	English
出版事項:	Faculty Mechanical Engineering, UMP 2014
主題:	TS Manufactures
オンライン･アクセス:	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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