Eco-modular product architecture identification and assessment for product recovery
In order to improve the efficiency of disassembly and product recovery of an abandoned product at the end-of-life stage, it is essential to develop modular product architecture by considering manufacturing and recovering processes in early product design stage. In this paper, a novel concept of a de...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Online Access: | https://hdl.handle.net/10356/144995 |
| _version_ | 1811686606918123520 |
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| author | Kim, Samyeon Moon, Seung Ki |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Kim, Samyeon Moon, Seung Ki |
| author_sort | Kim, Samyeon |
| collection | NTU |
| description | In order to improve the efficiency of disassembly and product recovery of an abandoned product at the end-of-life stage, it is essential to develop modular product architecture by considering manufacturing and recovering processes in early product design stage. In this paper, a novel concept of a design methodology is introduced to develop eco-modular product architecture and assess the modularity of the architecture from the viewpoint of product recovery. Eco-modular product architecture contributes to enhancing product recovery processes by recycling and reusing modules without full disassembly at component or material levels. It leads to less consumption of natural resources and less landfill damage to the environment. Three sustainable modular drivers, namely, interface complexity, material similarity, and lifespan similarity, are introduced to reconstruct the modular architecture of commercial products into the eco-modular architecture. Alternatives of modular architectures are identified by Markov Cluster Algorithm based on these sustainable modular drivers and physical interconnections of the components of product architecture. To select the eco-modular architecture from these alternatives, we propose modularity assessment metrics to identify independent interactions between modules and the degrees of similarity within each module. To demonstrate the effectiveness of the proposed methodology, a case study is performed with a coffee maker. |
| first_indexed | 2024-10-01T05:03:06Z |
| format | Journal Article |
| id | ntu-10356/144995 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:03:06Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1449952023-03-04T17:23:41Z Eco-modular product architecture identification and assessment for product recovery Kim, Samyeon Moon, Seung Ki School of Mechanical and Aerospace Engineering Engineering::Mechanical engineering Eco-module Markov Cluster Algorithm In order to improve the efficiency of disassembly and product recovery of an abandoned product at the end-of-life stage, it is essential to develop modular product architecture by considering manufacturing and recovering processes in early product design stage. In this paper, a novel concept of a design methodology is introduced to develop eco-modular product architecture and assess the modularity of the architecture from the viewpoint of product recovery. Eco-modular product architecture contributes to enhancing product recovery processes by recycling and reusing modules without full disassembly at component or material levels. It leads to less consumption of natural resources and less landfill damage to the environment. Three sustainable modular drivers, namely, interface complexity, material similarity, and lifespan similarity, are introduced to reconstruct the modular architecture of commercial products into the eco-modular architecture. Alternatives of modular architectures are identified by Markov Cluster Algorithm based on these sustainable modular drivers and physical interconnections of the components of product architecture. To select the eco-modular architecture from these alternatives, we propose modularity assessment metrics to identify independent interactions between modules and the degrees of similarity within each module. To demonstrate the effectiveness of the proposed methodology, a case study is performed with a coffee maker. Ministry of Education (MOE) Accepted version This work was supported by an AcRF Tier 1 Grant (RG94/13) from Ministry of Education, Singapore. 2020-12-08T03:06:40Z 2020-12-08T03:06:40Z 2019 Journal Article Kim, S., & Moon, S. K. (2019). Eco-modular product architecture identification and assessment for product recovery. Journal of Intelligent Manufacturing, 30(1), 383-403. doi:10.1007/s10845-016-1253-7 0956-5515 https://hdl.handle.net/10356/144995 10.1007/s10845-016-1253-7 2-s2.0-84981165238 1 30 383 403 en Journal of Intelligent Manufacturing © 2016 Springer Science+Business Media New York. This is a post-peer-review, pre-copyedit version of an article published in Journal of Intelligent Manufacturing. The final authenticated version is available online at: http://dx.doi.org/10.1007/s10845-016-1253-7 application/pdf |
| spellingShingle | Engineering::Mechanical engineering Eco-module Markov Cluster Algorithm Kim, Samyeon Moon, Seung Ki Eco-modular product architecture identification and assessment for product recovery |
| title | Eco-modular product architecture identification and assessment for product recovery |
| title_full | Eco-modular product architecture identification and assessment for product recovery |
| title_fullStr | Eco-modular product architecture identification and assessment for product recovery |
| title_full_unstemmed | Eco-modular product architecture identification and assessment for product recovery |
| title_short | Eco-modular product architecture identification and assessment for product recovery |
| title_sort | eco modular product architecture identification and assessment for product recovery |
| topic | Engineering::Mechanical engineering Eco-module Markov Cluster Algorithm |
| url | https://hdl.handle.net/10356/144995 |
| work_keys_str_mv | AT kimsamyeon ecomodularproductarchitectureidentificationandassessmentforproductrecovery AT moonseungki ecomodularproductarchitectureidentificationandassessmentforproductrecovery |