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EXPIM: a knowledge-based expert system for production/inventory modelling

dc.contributor.authorParlar, Mahmut
dc.contributor.authorMcMaster University, Faculty of Business
dc.contributor.departmentNoneen_US
dc.date.accessioned2015-06-29T15:20:32Z
dc.date.available2015-06-29T15:20:32Z
dc.date.issued1987-08
dc.description25 p.; Includes bibliographical references (p. B1-B3). ; "August, 1987." ; Financial support from the Natural Sciences and Engineering Research Council of Canada under Grant No. A5872 is gratefully acknowledged.en_US
dc.description.abstractThis 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.en_US
dc.identifier.urihttp://hdl.handle.net/11375/17646
dc.language.isoenen_US
dc.relation.ispartofseriesResearch and working paper series (McMaster University, Faculty of Business)
dc.relation.ispartofseriesno. 283
dc.subjectExpert systemsen_US
dc.subjectModellingen_US
dc.subjectProduction/inventoryen_US
dc.titleEXPIM: a knowledge-based expert system for production/inventory modellingen_US
dc.typeArticleen_US

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