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

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.

Procedia CIRP ◽  
2017 ◽  
Vol 60 ◽  
pp. 512-517 ◽  
Author(s):  
Hengyu Wang ◽  
Qingjin Peng ◽  
Jian Zhang ◽  
Peihua Gu

Author(s):  
Salvatore Viscuso

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.


2014 ◽  
Vol 1039 ◽  
pp. 484-489
Author(s):  
Zhao Ren Wu ◽  
Zi Qiang Zhou ◽  
Guo Hong Dai

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.


2021 ◽  
Author(s):  
Jinju Kim ◽  
Seyoung Park ◽  
Harrison M. Kim

Abstract Since remanufacturing requires additional processes compared to the production process of new products, various factors need to be considered. First, it is necessary to decide which end-of-life (EoL) product parts/modules to use among the EoL products available for the remanufactured product. At this stage, it is crucial to understand the future customer demand and requirements for each part. Next, it is also necessary to figure out whether selective disassembly is possible to disassemble a specific target component without completely disassembling the product. With the increasing number of product designs that are difficult to disassemble, the disassembly sequence and level should be considered for the efficiency of the overall remanufacturing process. This study proposes an integrated model to (i) find configuration design suitable for remanufactured products that can maximize customer utility based on current EoL products, and (ii) establish a harvest plan that determines the optimal operations and levels. This proposed model can be used as a tool that helps product designers find the appropriate design of remanufactured products while increasing the efficiency of the remanufacturing process.


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