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International Journal of Smart Engineering System Design Volume 5, 2003 - Issue 4
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Original Articles

Application of an Adaptive Neuro-Fuzzy Inference System in Inventory Control

B. Samanta Department of Mechanical and Industrial Engineering, Sultan Qaboos University, Muscat, Sultanate of Oman
&
Saeed A. Al-Araimi Department of Mechanical and Industrial Engineering, Sultan Qaboos University, Muscat, Sultanate of Oman
Pages 547-553 | Published online: 03 Jun 2010

Citations (6)

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Soroush Aghamohammadi-Bosjin, Masoud Rabbani & Reza Tavakkoli-Moghaddam. (2020) Agile two-stage lot-sizing and scheduling problem with reliability, customer satisfaction and behaviour under uncertainty: a hybrid metaheuristic algorithm. Engineering Optimization 52:8, pages 1323-1343.
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Articles from other publishers (5)

Alezander Mikhail O. Galindo, Jullian Dominic D. Ducut, Elmer P. Dadios, Ira C. Valenzuela & Robert Kerwin C. Billones. (2021) Application of Neuro-Fuzzy Logic on the Newsvendor Inventory Model. Application of Neuro-Fuzzy Logic on the Newsvendor Inventory Model.
Prasert Aengchuan & Busaba Phruksaphanrat. (2015) Comparison of fuzzy inference system (FIS), FIS with artificial neural networks (FIS + ANN) and FIS with adaptive neuro-fuzzy inference system (FIS + ANFIS) for inventory control. Journal of Intelligent Manufacturing 29:4, pages 905-923.
Crossref
Biswanath Samanta. (2012) Multidisciplinary education and research using computational intelligence. Multidisciplinary education and research using computational intelligence.
Ju-Hua MO, Min HUANG & Xing-Wei WANG. (2011) Application of a Pull Strategy Based on Fuzzy Control for Production Control of Assembly Line. Acta Automatica Sinica 37:1, pages 118-122.
Crossref
Davorin Kofjač, Miroljub Kljajić, Andrej Škraba & Blaž Rodič. 2007. Business Information Systems. Business Information Systems 536 548 .

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