A data-driven method of selective disassembly planning at end-of-life under uncertainty

2021 ◽  
Author(s):  
Yicong Gao ◽  
Shanhe Lou ◽  
Hao Zheng ◽  
Jianrong Tan
Keyword(s):  
End Of Life ◽  
Data Driven ◽  
Selective Disassembly ◽  
Disassembly Planning

Research of Fuzzy Cost Model for Selective Disassembly Planning

2013 ◽  
Vol 834-836 ◽  
pp. 1732-1735
Author(s):  
Zi Qiang Zhou ◽  
Guo Hong Dai ◽  
Zhao Ren Wu
Keyword(s):  
End Of Life ◽  
Cost Model ◽  
Optimal Sequence ◽  
Selective Disassembly ◽  
Fuzzy Cost ◽  
Practical Feasibility ◽  
Operation Cost ◽  
Disassembly Planning

In order to protect environment, the end-of-life product should be disassembly and recycled. While selective disassembly method can be used to separate the valuable parts from the old product and used for reuse or remanufacturing. Usually there are several feasible disassembly sequences for operation; the optimal sequence is decided by operation cost. A fuzzy cost model is presented instead of the traditional quantitative cost model. The advantage of this method is that the detailed information of the end-of-life product is not needed and, the practical feasibility of selective disassembly is improved.

scholarly journals Selective Disassembly Planning for the End-of-life Product

Procedia CIRP ◽  
2017 ◽  
Vol 60 ◽  
pp. 512-517 ◽  
Author(s):  
Hengyu Wang ◽  
Qingjin Peng ◽  
Jian Zhang ◽  
Peihua Gu
Keyword(s):  
End Of Life ◽  
Selective Disassembly ◽  
Disassembly Planning

scholarly journals Coding the circularity. Design for the disassembly and reuse of building components

2021 ◽  
pp. 271-278
Author(s):  
Salvatore Viscuso
Keyword(s):  
End Of Life ◽  
Computational Modelling ◽  
Geometric Constraints ◽  
Physical Interaction ◽  
Architecture Design ◽  
Design Codes ◽  
Generative Design ◽  
Architectural Production ◽  
Building Components ◽  
Selective Disassembly

The architecture design today has new expressive features due to the parametric and computational modelling software, which greatly amplify the potential of language. This condition makes it possible to generate customised elements and systems through a process of cyber-physical interaction between design and architectural production. As well as the geometric constraints, dictated by manufacturing and assembly processes of materials, they can be incorporated in the generative design codes. The article examines the possibility to also include the main conditions that enable the selective disassembly of the elements and their reuse at the end of life, avoiding the generation of parts that are not remanufacturable or reusable.

scholarly journals A data-driven based decomposition–integration method for remanufacturing cost prediction of end-of-life products

2020 ◽  
Vol 61 ◽  
pp. 101838 ◽  
Author(s):  
Zhigang Jiang ◽  
Zhouyang Ding ◽  
Ying Liu ◽  
Yan Wang ◽  
Xiaoli Hu ◽  
...  
Keyword(s):  
End Of Life ◽  
Integration Method ◽  
Data Driven ◽  
Cost Prediction

Approach of Composing Disassembly Model Based on the CAD Information for End of Life Product

2014 ◽  
Vol 1039 ◽  
pp. 484-489
Author(s):  
Zhao Ren Wu ◽  
Zi Qiang Zhou ◽  
Guo Hong Dai
Keyword(s):  
End Of Life ◽  
Adjacency Matrix ◽  
Graph Model ◽  
Matrix Form ◽  
Automatic Method ◽  
Recycling Process ◽  
Influence Matrix ◽  
Model Based ◽  
Disassembly Sequence ◽  
Selective Disassembly

For the purpose of recycling end of life product, Selective disassembly methods are most common used for dismantling the old product. Only some parts which valuable for remanufacturing or reuse are dismantled. In addition, the optimal disassembly sequence which created automatic by the computer will help to decrease the disassembly cost and increase the whole revenue of recycling process. However, the disassembly model are still cannot be composed by the computer automatic, that is, some of the work need be done manually. Especially, the priority information among the parts should be analyzed by the engineer. In this paper, an automatic method is presented by comparing the feature of the parts. And then, by extracting and analyzing mates in the assembly, the adjacent information is obtained. Adjacency information and priority information respectively expressed by adjacency matrix and influence matrix, which can be used to depict the hybrid graph model in matrix-form, achieving the automatically creation of disassembly hybrid graph model.

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