EXPIM: a knowledge-based expert system for production/inventory modelling
作者:
MAHMUT PARLAR,
期刊:
International Journal of Production Research
(Taylor Available online 1989)
卷期:
Volume 27,
issue 1
页码: 101-118
ISSN:0020-7543
年代: 1989
DOI:10.1080/00207548908942533
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
This paper discusses the development of a knowledge-based expert system (EXPIM) which can identify and recommend up to 30 production-inventory models. The user (manager) is asked a sequence of questions regarding the problem situation. The system uses backward-chaining to identify what is the correct model to use given the situation described by the user. The paper also discusses the general methodology for building expert systems in management science for the purpose of identifying models in other areas, such as queueing theory and location theory.
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