Article
Engineering, Manufacturing
Fengfu Yin, Kai Wang, Xiaodong Wang, Lin Li, Guangkuo Liu, Thomas Maani, John W. Sutherland
Summary: An improved disassembly hybrid graph model (IDHGM) is proposed in this study for selective disassembly sequence planning to overcome the limitations of the subassembly disassembling process of end-of-life (EoL) mobile phones. The results demonstrate that the disassembly sequence generated by IDHGM takes less time and accurately describes the subassembly disassembling process.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2023)
Article
Computer Science, Software Engineering
Arun Rehal, Dibakar Sen
Summary: This paper presents a scheme for efficient disassembly sequence planning based on part accessibility. It introduces the concept of shell structures for analyzing the accessibility of parts and explores their applications in maintenance planning and end-of-life processing. A grid-based method is proposed for constructing the shell structure. The results demonstrate the effectiveness of the proposed methods in assessing accessibility and updating shell structures.
COMPUTER-AIDED DESIGN
(2023)
Review
Automation & Control Systems
Xiwang Guo, MengChu Zhou, Abdullah Abusorrah, Fahad Alsokhiry, Khaled Sedraoui
Summary: It is crucial to efficiently disassemble obsolete products to avoid environmental pollution and maximize economic benefits. This paper surveys the state of the art of disassembly sequence planning, aiming to provide guidance for researchers and decision makers in optimal planning solutions. The progress in disassembly sequencing planning is discussed in various aspects, stimulating further engagement in research and development in the Industry 4.0 era.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2021)
Article
Robotics
Xikun Zhao, Congbo Li, Ying Tang, Jiabin Cui
Summary: This letter addresses the challenge of structure uncertainty of end-of-life products by proposing a new disassembly sequence planning method using deep Q-network and a multi-level selective disassembly hybrid graph model. The proposed method outperforms NSGA-II and ABC algorithms in minimizing disassembly time and maximizing disassembly profit through extensive comparative experiments.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Automation & Control Systems
Yufei Xing, Dongmei Wu, Ligang Qu
Summary: This paper proposes a new method for asynchronous parallel disassembly sequence planning, addressing the issue of high dependence on asynchronous parallel disassembly mode and introducing waiting and time overlap strategies to shorten the disassembly process. Through analyzing a bevel gear reducer as an example, the effectiveness of the proposed algorithm and strategies are validated.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Engineering, Industrial
Yongjing Wang, Feiying Lan, Jiayi Liu, Jun Huang, Shizhong Su, Chunqian Ji, Duc Truong Pham, Wenjun Xu, Quan Liu, Zude Zhou
Summary: Remanufacturing involves rebuilding a product using a combination of reused, repaired, and new parts, with disassembly as a key and labor-intensive process. Robotic disassembly is an attractive alternative but still requires manual planning due to the complexity of end-of-life products. The proposed method in this paper allows machines to plan disassembly by generating and manipulating specific matrices, providing a flexible and effective approach for dealing with complex mechanical structures.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Automation & Control Systems
Yaping Fu, MengChu Zhou, Xiwang Guo, Liang Qi, Khaled Sedraoui
Summary: Disassembly is a crucial step in remanufacturing process for resource reuse and waste reduction. This study introduces a stochastic biobjective disassembly sequence planning problem to maximize profit and minimize energy consumption. Chance-constrained programming model with multiverse optimization algorithm is proposed for efficient solutions.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Hao Wu, Zhigang Jiang, Shuo Zhu, Hua Zhang
Summary: This article proposes a disassembly sequence planning method based on the knowledge graph representation to address the issues of high accuracy and efficiency in end-of-life power battery recycling. By constructing an updateable and scalable disassembly information model and applying topological sorting and backtracking algorithms, the optimal disassembly sequence is derived.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
(2023)
Review
Engineering, Industrial
S. K. Ong, M. M. L. Chang, A. Y. C. Nee
Summary: Disassembly sequence planning (DSP) is a challenging research area that has attracted significant attention from researchers worldwide. New solutions are continuously proposed to tackle the complexities of disassembling products, with advancements in computing and introduction of new concepts like virtual reality. Survey papers in the past 12 years have focused on product representation models, sequencing algorithms, and methodology validation in DSP research.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Computer Science, Interdisciplinary Applications
Soran Parsa, Mozafar Saadat
Summary: The research proposes a disassembly planning method based on human-robot collaboration, utilizing human flexibility and robot precision to handle complex disassembly tasks and improve process efficiency. Components are targeted based on remanufacturability parameters, and optimization is done using a mathematical model and genetic algorithm.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2021)
Article
Computer Science, Interdisciplinary Applications
Natalia Hartono, F. Javier Ramirez, D. T. Pham
Summary: Remanufacturing is crucial for a circular economy as it helps reduce landfill waste and preserve natural resources, benefiting the environment. This study proposes a model for planning the sequence of steps for robotic disassembly, using the Bees Algorithm to optimize profitability, energy savings, and greenhouse gas emission reductions.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Automation & Control Systems
Kaipu Wang, Liang Gao, Xinyu Li, Peigen Li
Summary: Robot disassembly of End-of-life (EOL) products is an effective method to improve economic benefits and reduce environmental pollution. Parallel disassembly can shorten the makespan, and by establishing a multiobjective model and algorithm, high-quality disassembly schemes can be obtained.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Manufacturing
Jinhua Xiao, Nabil Anwer, Weidong Li, Benoit Eynard, Chen Zheng
Summary: This paper proposes a dynamic disassembly Bayesian network approach to address the challenges of uncertainty in the EV battery disassembly process and optimal sequence selection.
CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY
(2022)
Article
Computer Science, Information Systems
Hongyu Liu, Linsheng Zhang
Summary: This paper introduces a method for partial disassembly sequence planning, which effectively addresses uncertainties in the actual disassembly process. By formulating success rates of disassembly operations to model an expected profit-based disassembly sequence planning, and introducing different neighborhood structures to improve disassembly solutions, the approach proves its superiority and effectiveness through case studies and comparison with existing metaheuristics.
Article
Environmental Sciences
Guangdong Tian, Xuesong Zhang, Amir M. Fathollahi-Fard, Zhigang Jiang, Chaoyong Zhang, Gang Yuan, Duc Truong Pham
Summary: With the increasing generation of end-of-life (EOL) products due to the development of the industrial economy, recycling and remanufacturing these products have become essential to minimize environmental pollution. This study proposes a stochastic multi-objective optimization model for the disassembly line balancing problem (DLBP) considering uncertainty, aiming to minimize the disassembly idle rate, smoothness, and energy consumption. An improved version of the northern goshawk optimization algorithm is also presented using a stochastic simulation method to solve the proposed model. Extensive examples and performance comparisons demonstrate the feasibility and applicability of the proposed model and algorithm.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
