Forecasting return products in an integrated forward/reverse supply chain utilizing an ANFIS

DOI10.2478/amcs-2014-0049zbMath1322.93059OpenAlexW2146095432MaRDI QIDQ747428

Govindan Kannan, Hamed Soleimani, D. Thresh Kumar

Publication date: 16 October 2015

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/amcs-2014-0049

zbMATH Keywords

fuzzy neural networkartificial neural networkclosed-loop supply chainadaptive network based fuzzy inference systemforecasting methods

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Control/observation systems with incomplete information (93C41) Application models in control theory (93C95) Adaptive control/observation systems (93C40) Trade models (91B60) Minimal systems representations (93B20)

Related Items (1)

Markov chain modeling and forecasting of product returns in remanufacturing based on stock mean-age

Uses Software

• ANFIS

Cites Work

• The simple plant location problem: Survey and synthesis
• Combinatorial Optimization. Polyhedra and efficiency. CD-ROM
• Adaptive Prediction of Stock Exchange Indices by State Space Wavelet Networks
• A rainfall forecasting method using machine learning models and its application to the Fukuoka city case

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