FUZZY KNOWLEDGE-BASED APPROACH TO TREATING UNCERTAINTY IN INVENTORY CONTROL
UNSPECIFIED. (1994) FUZZY KNOWLEDGE-BASED APPROACH TO TREATING UNCERTAINTY IN INVENTORY CONTROL. COMPUTER INTEGRATED MANUFACTURING SYSTEMS, 7 (3). pp. 147-152. ISSN 0951-5240Full text not available from this repository.
Inventory control in complex manufacturing environments encounters various sources of uncertainty and imprecision. This paper presents one fuzzy knowledge-based approach to solving the problem of order quantity determination, in the presence of uncertain demand, lead time and actual inventory level. Uncertain data are represented by fuzzy numbers, and vaguely defined relations between them are modelled by fuzzy if-then rules. The proposed representation and inference mechanism are verified using a large number of examples. The results of three representative cases are summarized. Finally, a comparison between the developed fuzzy knowledge-based and traditional, probabilistic approaches is discussed.
|Item Type:||Journal Article|
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
T Technology > TS Manufactures
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
|Journal or Publication Title:||COMPUTER INTEGRATED MANUFACTURING SYSTEMS|
|Official Date:||August 1994|
|Number of Pages:||6|
|Page Range:||pp. 147-152|
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