Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/17646| Title: | EXPIM: a knowledge-based expert system for production/inventory modelling |
| Authors: | Parlar, Mahmut McMaster University, Faculty of Business |
| Department: | None |
| Keywords: | Expert systems;Modelling;Production/inventory |
| Publication Date: | Aug-1987 |
| Series/Report no.: | Research and working paper series (McMaster University, Faculty of Business) no. 283 |
| Abstract: | 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. |
| Description: | 25 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. |
| URI: | http://hdl.handle.net/11375/17646 |
| Appears in Collections: | DeGroote School of Business Working Paper Series |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| dsb_wp_283.pdf | 931.92 kB | Adobe PDF | View/Open |
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