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FUZZY KNOWLEDGE-BASED APPROACH TO TREATING UNCERTAINTY IN INVENTORY CONTROL

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UNSPECIFIED (1994) FUZZY KNOWLEDGE-BASED APPROACH TO TREATING UNCERTAINTY IN INVENTORY CONTROL. COMPUTER INTEGRATED MANUFACTURING SYSTEMS, 7 (3). pp. 147-152.

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Abstract

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
Publisher: BUTTERWORTH-HEINEMANN LTD
ISSN: 0951-5240
Official Date: August 1994
Dates:
DateEvent
August 1994UNSPECIFIED
Volume: 7
Number: 3
Number of Pages: 6
Page Range: pp. 147-152
Publication Status: Published

Data sourced from Thomson Reuters' Web of Knowledge

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