[PDF][PDF] A conceptual model for uncertainty demand forecasting by artificial neural network and adaptive neuro-fuzzy inference system based on quantitative and …
P Khemavuk, A Leenatham - International journal of operations and …, 2020 - ijoqm.org
The purpose of this research is to present the new concepts for demand forecasting using
artificial intelligence methods. In the first part, it demonstrates the evolution of demand …
artificial intelligence methods. In the first part, it demonstrates the evolution of demand …
Comparative analysis of artificial neural networks and neuro-fuzzy models for multicriteria demand forecasting
G Kabir, MAA Hasin - … Journal of Fuzzy System Applications (IJFSA), 2013 - igi-global.com
An organization has to make the right decisions in time depending on demand information to
enhance the commercial competitive advantage in a constantly fluctuating business …
enhance the commercial competitive advantage in a constantly fluctuating business …
Application of adaptive neuro fuzzy inference system in demand forecasting for power engineering company
G Kabir, MAA Hasin - International Journal of Industrial and …, 2014 - inderscienceonline.com
To enhance the commercial competitive advantage in a constantly fluctuating business
environment, an organisation has to make the right decisions in time depending on demand …
environment, an organisation has to make the right decisions in time depending on demand …
Demand forecasting for apparel manufacturers by using neuro-fuzzy techniques
Purpose–According to literature research and conversations with apparel manufacturers'
specialists, there is not any common analytic method for demand forecasting in apparel …
specialists, there is not any common analytic method for demand forecasting in apparel …
Demand forecasting in pharmaceutical industry using neuro-fuzzy approach
Because of human healthcare, the pharmaceutical industry can be considered as one of the
most significant industrial sector. For this reason, demand forecasting in pharmaceutical …
most significant industrial sector. For this reason, demand forecasting in pharmaceutical …
New technology product demand forecasting using a fuzzy inference system
G Atsalakis - Operational Research, 2014 - Springer
This work presents a fuzzy inference system for forecasting the product demand of a new
technology. Recent studies have addressed the problems of new technology product …
technology. Recent studies have addressed the problems of new technology product …
A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis
An organization has to make the right decisions in time depending on demand information to
enhance the commercial competitive advantage in a constantly fluctuating business …
enhance the commercial competitive advantage in a constantly fluctuating business …
Integrating fuzzy Delphi method with artificial neural network for demand forecasting of power engineering company
G Kabir, R Sumi - Management Science Letters, 2012 - growingscience.com
An organization has to make the right decisions in time depending on demand information to
enhance the commercial competitive advantage in a constantly fluctuating business …
enhance the commercial competitive advantage in a constantly fluctuating business …
[PDF][PDF] An ANN approach to demand forecasting in retail trade in Bangladesh
MAA Hasin, S Ghosh, MA Shareef - International Journal of Trade …, 2011 - ijtef.com
Abstract− For a small retail trading chain, demand forecasting is the main driver to
effectiveness and efficiency. However, as large number of varied models and products are …
effectiveness and efficiency. However, as large number of varied models and products are …
A decision support system for demand forecasting in the clothing industry
Purpose–Demand forecasting in the clothing industry is very complex due to the existence of
a wide range of product references and the lack of historical sales data. To the authors' …
a wide range of product references and the lack of historical sales data. To the authors' …