Conference proceeding
Demand forecast in a supermarket using a hybrid intelligent system
DESIGN AND APPLICATION OF HYBRID INTELLIGENT SYSTEMS, Vol.104, pp.1076-1083
Frontiers in Artificial Intelligence and Applications
01 Jan 2003
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Demand forecasts play a crucial role in advanced systems for supply chain management. Determining the future demand for a certain product is the basis the respective systems. Several forecasting techniques have been developed, each one with its particular advantages and disadvantages compared to other approaches. This motivates the development of hybrid systems combining different techniques and their respective advantages. In this paper we propose a hybrid forecasting system combining ARIMA models and neural networks. We show improvements in forecasting accuracy and develop a replenishment system based on the respective forecasts for a Chilean supermarket chain.
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Details
- Title
- Demand forecast in a supermarket using a hybrid intelligent system
- Creators
- L AburtoR Weber
- Contributors
- A Abraham (Editor)M Koppen (Editor)K Franke (Editor)
- Publication Details
- DESIGN AND APPLICATION OF HYBRID INTELLIGENT SYSTEMS, Vol.104, pp.1076-1083
- Series
- Frontiers in Artificial Intelligence and Applications
- Publisher
- Ios Press
- Number of pages
- 8
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Identifiers
- 991019238748004721
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- Web of Science research areas
- Computer Science, Artificial Intelligence