Thesis
Sustainability analysis and connective complexity method for selective disassembly time prediction
Washington State University
Master of Science (MS), Washington State University
2011
Handle:
https://hdl.handle.net/2376/104517
Abstract
The two main objective of this thesis are: 1) to develop a disassembly and selective disassembly time prediction methodology and, 2) to evaluate the use of environmental impacts of components in the selective disassembly time prediction method. Disassembly time is very critical as it impacts the planning and costs at the end of life of a product. Thus, disassembly time has direct effects on the decisions and activities related to recycle, reuse, remanufacture and disposal of a product. The disassembly time prediction method first utilizes the assumption that disassembly is the inverse of assembly and second uses the assembly time prediction method. The assembly time prediction method is based on the use of complexity metrics derived from assembly graph and bipartite graph of a product. The notion of selective disassembly implies disassembling a product in order to retrieve only a certain number of parts and not disassembling the other components. There could be many applications for selective disassembly from disassembly for material recovery, parts reuse and remanufacturing to reduction in environmental impacts associated to disposing a hazardous component. The determination of selective disassembly time is based on recovering most material for recycling. The assembly graph for a product is re-organized to group together parts that are close and are of same material. The modified assembly graph is then used to compute the selective disassembly time. Although, the method developed targets material recovery for recycling, it can be used for parts recovery for reuse, remanufacturing or other such purposes. One of the widely used methodologies to assess the environmental impacts of a product is called Life Cycle Assessment (LCA). LCA is applied to selective components of the case studies (i.e. standard toaster and the eco-friendly toaster) using SIMAPRO 7 to calculate the environmental impacts. The environmental impacts of the selected components can be further utilized for decision making and planning regarding selective disassembly.
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Details
- Title
- Sustainability analysis and connective complexity method for selective disassembly time prediction
- Creators
- Raghunathan Srinivasan
- Contributors
- Gaurav Ameta (Degree Supervisor)
- Awarding Institution
- Washington State University
- Academic Unit
- Mechanical and Materials Engineering, School of
- Theses and Dissertations
- Master of Science (MS), Washington State University
- Publisher
- Washington State University; Pullman, Wash. :
- Identifiers
- 99900525107101842
- Language
- English
- Resource Type
- Thesis