DocumentCode :
3119955
Title :
Fuzzy reasoning Petri nets for demanufacturing process decision
Author :
Gao, Meimei ; Zhou, MengChu
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fYear :
2001
fDate :
2001
Firstpage :
167
Lastpage :
172
Abstract :
Since products during the use stage may experience very different conditions, their external and internal status can vary significantly. These products, when coming to a demanufacturing facility, are often associated with incomplete/imprecise, sometime wrong, information so that the demanufacturing processes have to be decided dynamically based on the products´ specific status. This paper presents a fuzzy reasoning Petri net model to represent such a product with uncertainty and its related demanufacturing decision rules. Based on this model, a formal reasoning algorithm using the operators in max-algebra is proposed to perform fuzzy reasoning. Using the proposed model, the multi-criterion demanufacturing rules can be considered in the parallel way to make the decision automatically, which makes the real time disassembly process decision possible. At last, an example is used to specify the application of the proposed method
Keywords :
Petri nets; decision theory; fuzzy set theory; manufacture; recycling; demanufacturing process decision; formal reasoning algorithm; fuzzy reasoning Petri nets; max-algebra; multi-criterion demanufacturing rules; real time disassembly process decision; Costs; Equations; Fuzzy reasoning; Knowledge representation; Petri nets; Retirement; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and the Environment, 2001. Proceedings of the 2001 IEEE International Symposium on
Conference_Location :
Denver, CO
ISSN :
1095-2020
Print_ISBN :
0-7803-6655-7
Type :
conf
DOI :
10.1109/ISEE.2001.924521
Filename :
924521
Link To Document :
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