1992
DOI: 10.1007/bf02601620
|View full text |Cite
|
Sign up to set email alerts
|

A review of petri-net applications in manufacturing

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
7
0
1

Year Published

1995
1995
2023
2023

Publication Types

Select...
6
3
1

Relationship

0
10

Authors

Journals

citations
Cited by 45 publications
(8 citation statements)
references
References 15 publications
0
7
0
1
Order By: Relevance
“…The main power of this language as a mathematical tool is its support for analysing the dynamic behaviour of a manufacturing alternative or scenario (Ahmad, Huang, and Wang 2011). Petri Nets have been already used for describing process plans (Cecil, Srihari, and Emerson 1992;Srihari and Emerson 1990), but this is useful for a given unique scenario to study. Moreover, the scheduling is not graphically visible.…”
Section: Purpose / Domainmentioning
confidence: 99%
“…The main power of this language as a mathematical tool is its support for analysing the dynamic behaviour of a manufacturing alternative or scenario (Ahmad, Huang, and Wang 2011). Petri Nets have been already used for describing process plans (Cecil, Srihari, and Emerson 1992;Srihari and Emerson 1990), but this is useful for a given unique scenario to study. Moreover, the scheduling is not graphically visible.…”
Section: Purpose / Domainmentioning
confidence: 99%
“…So it provides a decision support tool [28] [29] [30] [31]. Additionally, PNs [22] [23] [24] [29] can model manufacturing systems at different levels of abstraction in a hierarchical manner identifying many strategic keys or control points [23]. Thus, PNs based models are used effectively to analyze control problems in real-time [23] [24].…”
Section: Introductionmentioning
confidence: 99%
“…With the increasing complexity of real systems, multifarious mechanisms have been presented to implement the inference process: expert system [1][2][3][4], Bayesian network [5], neural fuzzy system [6][7][8][9][10][11], multi-class diagnostic technique [12], Petri net (PN) [13,14], fuzzy Petri net (FPN) [15][16][17], etc. Among these techniques, FPN inherits the graphical nature and mathematical foundation of PN and represents the fuzzy production rule (FPR) accurately.…”
Section: Introductionmentioning
confidence: 99%