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Lexicographic Multiobjective Scatter Search for the Optimization of Sequence-Dependent Selective Disassembly Subject
IEEE Transactions on Cybernetics
|April 2, 2019
Summary
This study introduces a new method for optimizing product disassembly, considering resource limits and component order. The approach effectively balances energy use, time, and profit for better recycling efficiency.
Area of Science:
- Industrial Ecology
- Operations Research
- Sustainable Manufacturing
Background:
- Effective product disassembly is crucial for environmental and economic benefits, improving recovery efficiency and reducing negative impacts.
- Existing disassembly planning methods often neglect sequence-dependent factors and resource constraints, limiting their practical application.
- Optimizing disassembly is complex due to the increasing number of product components.
Purpose of the Study:
- To address the limitations of current methods by developing a multiobjective optimization model for sequence-dependent, resource-constrained disassembly.
- To incorporate disassembly precedence constraints into the optimization model.
- To minimize energy consumption and disassembly time while maximizing disassembly profit.
Main Methods:
- Formulated a novel multiobjective optimization model considering sequence-dependent disassembly, resource constraints, and precedence requirements.
- Utilized energy consumption as a key metric for disassembly efficiency alongside traditional criteria.
- Proposed a lexicographic multiobjective scatter search (SS) method to solve the complex optimization problem.
Main Results:
- The proposed lexicographic multiobjective SS method demonstrated effectiveness in solving the complex optimization problem.
- Comparison with linear weight SS and genetic algorithms showed the proposed method provides superior solutions.
- The method achieved better results in a shorter execution time, meeting structural and resource constraints.
Conclusions:
- The developed optimization model and SS method are effective for sequence-dependent, resource-constrained disassembly.
- This approach enhances recovery efficiency and reduces environmental impact in industrial product recycling.
- The findings offer a practical solution for optimizing disassembly processes in complex manufacturing systems.
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