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Intelligent Decision Support Methods: The Science of Knowledge Work
- Publisher
- Emerald Publishing
- Copyright
- Copyright © 2000 MCB UP Ltd. All rights reserved.
- ISSN
- 0957-6061
- DOI
- 10.1108/09576060010326230
- Publisher site
- See Article on Publisher Site
Abstract
Determining the number of circulating kanban cards is important in order effectively to operate a just-in-time with kanban production system. While a number of techniques exist for setting the number of kanbans, artificial neural networks (ANNs) and classification and regression trees (CARTs) represent two practical approaches with special capabilities for operationalizing the kanban setting problem. This paper provides a comparison of ANNs with CART for setting the number of kanbans in a dynamically varying production environment. Our results show that both methods are comparable in terms of accuracy and response speed, but that CARTs have advantages in terms of explainability and development speed. The paper concludes with a discussion of the implications of using these techniques in an operational setting.
Journal
Integrated Manufacturing Systems – Emerald Publishing
Published: Jul 1, 2000
Keywords: Neural networks; Decision trees; Production control