Lokasi: Automate Short Cyclic Well Job Candidacy Using Artificial Neural Networks–Enabled Lean Six Sigma Approach: A Case Study in Oil and Gas Company

Main Authors:	Wilantara, Dedi; School of Business and Management, Bandung Institute of Technology, Indonesia, Mulyono, Nur Budi; School of Business and Management, Bandung Institute of Technology, Indonesia, Winarso, Doni; Information Systems, Muhammadiyah University of Riau, Indonesia
Format:	Article info application/pdf eJournal
Bahasa:	eng
Terbitan:	International Journal on Advanced Science, Engineering and Information Technology , 2022
Subjects:	Artificial intelligence; artificial neural networks; big data analytics; cyclic steam injection; DMAIC; hybrid method; information technology; lean machine learning; oil and gas company; short cyclic steam stimulation; six sigma
Online Access:	http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/12845 http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/12845/pdf_2198

Koleksi	International Journal on Advanced Science, Engineering and Information Technology
Gedung	Indonesian Society for Knowledge and Human Development
Institusi	Indonesian Society for Knowledge and Human Development
Kota	-
Provinsi	DKI JAKARTA
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