Decisional DNA based intelligent knowledge model for flexible manufacturing system

Title
Decisional DNA based intelligent knowledge model for flexible manufacturing system
Publication Date
2019-12-23
Author(s)
Shafiq, Syed Imran
Szczerbicki, Edward
Sanin, Cesar
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
IOS Press
Place of publication
The Netherlands
DOI
10.3233/JIFS-179328
UNE publication id
une:1959.11/61812
Abstract

Modeling an effective mechanism for design and control strategies for the implementation of a flexible manufacturing system (FMS) has been a challenge. Consequently, to overcome this issue various techniques have applied in the past but most of these models are effective only for some specific situation or an element of FMS. In this study, the knowledge representation technique of Decisional DNA (DDNA) is applied to FMS to develop a generic model to achieve effective scheduling and manufacturing flexibility. Decisional DNA based Virtual Engineering Objects (VEO) are used as communicating media between machines, equipment and works pieces. The concept of Virtual Engineering Process (VEP) is applied for modeling routing flexibility. VEOs combined with VEPs form FMS-DDNA model, which facilitates in enhancing the performance of FMS, by inducing intelligence based on its own previous experience thus making it practical and smart.

Link
Citation
Journal of Intelligent and Fuzzy Systems, 37(6), p. 7155-7167
ISSN
1875-8967
1064-1246
Start page
7155
End page
7167

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