A methodology for modeling and adaptive planning of disassembly processes
Document Type
Article
Publication Date
12-1-1999
Abstract
A principal process during the remanufacturing of worn-out or malfunctioning products is disassembly that enables the dumping, cleaning, repair or replacement of components as desired. Products subjected to disassembly exhibit uncertainty in the product structure and component conditions. Hence the termination goal (the level of disassembly) is subject to change, and the disassembly plan must be adapted. This paper proposes a mathematically sound disassembly Petri net (DPN) for the modeling and adaptive planning of disassembly processes. The planning algorithm guarantees the optimal remanufacturing value when each node's utility function (benefit of a subassembly or part and cost of a disassembly operation) is fixed. It can be modified to deal with the cases when the disassembly operation success rates vary with the product condition and reliability of resources performing the operations The proposed methodology and algorithms are demonstrated through the sample disassembly of a telephone.
Identifier
0033078088 (Scopus)
Publication Title
IEEE Transactions on Robotics and Automation
External Full Text Location
https://doi.org/10.1109/70.744614
ISSN
1042296X
First Page
190
Last Page
194
Issue
1
Volume
15
Recommended Citation
Zussman, Eyal and Zhou, Mengchu, "A methodology for modeling and adaptive planning of disassembly processes" (1999). Faculty Publications. 15905.
https://digitalcommons.njit.edu/fac_pubs/15905
