Intelligent decision making in disassembly process based on fuzzy reasoning Petri nets

Document Type

Article

Publication Date

10-1-2004

Abstract

Practical disassembly process planning is extremely important for efficient material recycling and components reuse. The research work for the process planning in literature focuses on the generation of optimal sequences based on the predictive information of products. The used products, unfortunately, exhibit high uncertainty since products may experience very different conditions during their use stage. The indeterminate characteristics associated to used products often makes the predetermined plan unrealistic. Their disassembly process has to be decided dynamically adaptive to the products' specific status. To be able to deal with uncertainty in a dynamic decision making process, this paper presents a fuzzy reasoning Petri net (FRPN) model to represent related decision making rules in disassembly process. Using the proposed fuzzy reasoning algorithm based on the FRPN model, the multicriterion disassembly rules can be considered in the parallel way to make the decision automatically and quickly. Instead of producing the disassembly sequences before disassembling a whole product, the proposed method makes intelligent decisions based on dynamically updated status of components in the product at each disassembly step. Therefore, it is adaptive to the changes that arise during the process. Finally, an example is used to illustrate the application of the proposed methodology. © 2004 IEEE.

Identifier

4844227632 (Scopus)

Publication Title

IEEE Transactions on Systems Man and Cybernetics Part B Cybernetics

External Full Text Location

https://doi.org/10.1109/TSMCB.2004.833331

ISSN

10834419

PubMed ID

15503498

First Page

2029

Last Page

2034

Issue

5

Volume

34

Grant

030335

Fund Ref

National Natural Science Foundation of China

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