[HTML][HTML] Demand prediction using a soft-computing approach: a case study of automotive industry

TE Salais-Fierro, JA Saucedo-Martinez… - Applied Sciences, 2020 - mdpi.com
According to the literature review performed, there are few methods focused on the study of
qualitative and quantitative variables when making demand projections by using fuzzy logic …

Demand forecasting for apparel manufacturers by using neuro-fuzzy techniques

A Aksoy, N Öztürk, E Sucky - Journal of Modelling in Management, 2014 - emerald.com
Purpose–According to literature research and conversations with apparel manufacturers'
specialists, there is not any common analytic method for demand forecasting in apparel …

A comparative study of demand forecasting based on machine learning methods with time series approach

A Abbaspour Ghadim Bonab - Journal of applied research on …, 2022 - journal-aprie.com
Demand forecasting can have a significant impact on reducing and controlling companies'
costs, as well as increasing their productivity and competitiveness. But to achieve this …

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 …

[HTML][HTML] Demand forecasting of spare parts with regression and machine learning methods: Application in a bus fleet

M İfraz, A Aktepe, S Ersöz, T Çetinyokuş - Journal of Engineering Research, 2023 - Elsevier
Forecasting the demand of spare parts of vehicles in bus fleets is a vital issue. Vehicles must
operate effectively and must have a high availability rate in the fleet. In maintenance …

Demand forecasting application with regression and artificial intelligence methods in a construction machinery company

A Aktepe, E Yanık, S Ersöz - Journal of Intelligent Manufacturing, 2021 - Springer
Demand forecasts are used as input to planning activities and play an important role in the
management of fundamental operations. Accurate demand forecasting is an important …

[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 …

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 …

[PDF][PDF] Time series analysis of sales quantity in an automotive company and estimation by artificial neural networks

S Arslankaya, V Öz - Sakarya University Journal of Science, 2018 - dergipark.org.tr
The automotive sector is an indicator sector that sheds light on theeconomies of the
countries. Demand forecasting in such an important sector, asit is in every sector, is an …

Demand forecasting in pharmaceutical industry using neuro-fuzzy approach

G Candan, M fatih Taskin, H Yazgan - Journal of Management and …, 2014 - dergipark.org.tr
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 …