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Related Experiment Video

Updated: Mar 31, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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Disassembly Sequence Optimization for Large-Scale Products With Multiresource Constraints Using Scatter Search and

Xiwang Guo, Shixin Liu, MengChu Zhou

    IEEE Transactions on Cybernetics
    |October 16, 2015
    PubMed
    Summary

    This study introduces resource-constrained disassembly sequencing to maximize profit from recycling. Novel algorithms effectively optimize disassembly plans, improving efficiency for product reuse and recovery.

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    Area of Science:

    • Engineering
    • Operations Research
    • Environmental Science

    Background:

    • Product disassembly is crucial for reuse, recovery, and recycling.
    • Existing methods often neglect resource constraints like operators and tools, leading to ineffective plans.
    • Optimizing disassembly sequences under resource limitations is essential for practical application.

    Purpose of the Study:

    • To model and optimize selective disassembly sequences considering multiresource constraints.
    • To maximize the economic profit derived from the disassembly process.
    • To develop efficient algorithms for solving the complex optimization problem.

    Main Methods:

    • A mathematical model was developed for selective disassembly with multiresource constraints.
    • Two scatter search algorithms were designed, utilizing different combination operators (precedence preserved crossover and path-relink).
    • The proposed algorithms were validated against optimization software CPLEX.

    Main Results:

    • The developed model effectively incorporates resource constraints into disassembly planning.
    • The scatter search algorithms demonstrated their ability to find optimal or near-optimal disassembly sequences.
    • Comparison with CPLEX confirmed the validity and effectiveness of the proposed algorithmic approach.

    Conclusions:

    • The proposed method provides an effective approach for modeling and optimizing resource-constrained selective disassembly.
    • The developed scatter search algorithms are efficient for maximizing disassembly profit.
    • This research contributes to more practical and profitable product end-of-life management.