Fuzzy evaluation for optimal selective disassembly in recycling of end of life product

2015 ◽  
pp. 35-38
Author(s):  
Z Zhou ◽  
P Hu ◽  
Y Gong ◽  
G Dai
Keyword(s):  
End Of Life ◽  
Fuzzy Evaluation ◽  
Selective Disassembly

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.

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.

Optimal Modular Remanufactured Product Configuration and Harvesting Planning for End-of-Life Products

2021 ◽  
Author(s):  
Jinju Kim ◽  
Seyoung Park ◽  
Harrison M. Kim
Keyword(s):  
Production Process ◽  
End Of Life ◽  
New Products ◽  
Product Configuration ◽  
Target Component ◽  
Configuration Design ◽  
Customer Demand ◽  
Proposed Model ◽  
Disassembly Sequence ◽  
Selective Disassembly

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.

scholarly journals A selective disassembly methodology for end‐of‐life products

2005 ◽  
Vol 25 (2) ◽  
pp. 124-134 ◽  
Author(s):  
S. Kara ◽  
P. Pornprasitpol ◽  
H. Kaebernick
Keyword(s):  
End Of Life ◽  
Selective Disassembly

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.

Straw Material: End-of-Life Cycle Analysis Scenario

2022 ◽  
Author(s):  
Nathali Tornay ◽  
Luc Floissac ◽  
Coralie Garcia ◽  
Delphine Rollet ◽  
Catherine Aventin
Keyword(s):  
Life Cycle ◽  
End Of Life ◽  
Life Cycle Analysis ◽  
Farming Practices ◽  
Environmental Product Declarations ◽  
Awareness Raising ◽  
Selective Disassembly

Bio-based materials end of life is analysed from straw builders and farming practices. This paper proposes a classification of constructive straw systems according to their selective disassembly processes. According to EN 15804 standard, end-of-life (EoL) cycle analysis scenarios are used to create Environmental Product Declarations (EPD). These data will be used: - for architectural projects conception in respect to“RE2020” new French regulation. - as an awareness-raising approach for the long term design of constructive systems.

Simultaneous Selective Disassembly and End-of-Life Decision Making for Multiple Products That Share Disassembly Operations

2010 ◽  
Vol 132 (4) ◽  
Author(s):  
Sara Behdad ◽  
Minjung Kwak ◽  
Harrison Kim ◽  
Deborah Thurston
Keyword(s):  
End Of Life ◽  
Cell Phone ◽  
Value Added ◽  
Cost Effective ◽  
Mixed Integer ◽  
Efficient Manner ◽  
Multiple Products ◽  
Take Back ◽  
Protection Legislation ◽  
Selective Disassembly

Environmental protection legislation, consumer interest in “green” products, a trend toward corporate responsibility and recognition of the potential profitability of salvaging operations, has resulted in increased interest in product take back. However, the cost effectiveness of product take-back operations is hampered by many factors, including the high cost of disassembly and a widely varying feedstock of dissimilar products. Two types of decisions must be made, how to carry out the disassembly process in the most efficient manner to “mine” the value-added that is still embedded in the product, and then how to best utilize that value-added once it is recovered. This paper presents a method for making those decisions. The concept of a transition matrix is integrated with mixed integer linear programming to determine the extent to which products should be disassembled and simultaneously determine the optimal end-of-life (EOL) strategy for each resultant component or subassembly. The main contribution of this paper is the simultaneous consideration of selective disassembly, multiple products, and the value added that remains in each component or subassembly. Shared disassembly operations and capacity limits are considered. An example using two cell phone products illustrates application of the model. The obtained results demonstrate the most economical level of disassembly for each cell phone and the best EOL options for each resultant module. In addition, the cell phone example shows that sharing disassembly operations between different products makes disassembly more cost effective compared with the case in which each product is disassembled separately.

Selective Disassembly and Simultaneous End-of-Life Decision Making for Multiple Products

2009 ◽  
Author(s):  
Sara Behdad ◽  
Minjung Kwak ◽  
Harrison Kim ◽  
Deborah Thurston
Keyword(s):  
End Of Life ◽  
Value Added ◽  
Mixed Integer ◽  
Efficient Manner ◽  
Capacity Limits ◽  
Multiple Products ◽  
Take Back ◽  
Protection Legislation ◽  
Selective Disassembly ◽  
End Of Life Decision

Environmental protection legislation, consumer interest in “green” products, a trend towards corporate responsibility and recognition of the potential profitability of salvaging operations have resulted in increased interest in product take-back. However, the cost-effectiveness of product take-back operations is hampered by many factors, including the high cost of disassembly and a widely varying feedstock of dissimilar products. Two types of decisions must be made; how to carry out the disassembly process in the most efficient manner to “mine” the value-added that is still embedded in the product, and then how to best utilize that value-added once it is recovered. This paper presents a method for making those decisions. The concept of a transition matrix is integrated with mixed integer linear programming to determine the extent to which products should be disassembled, and simultaneously determine the optimal end of life (EOL) strategy for each resultant component or subassembly. The main contribution of this paper is the simultaneous consideration of selective disassembly, multiple products, and the value added that remains in each component or subassembly. Shared disassembly operations and capacity limits are considered. An example using two cell phone products illustrates application of the model.

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