Article
Engineering, Chemical
Dexin Yu, Xuesong Zhang, Guangdong Tian, Zhigang Jiang, Zhiming Liu, Tiangang Qiang, Changshu Zhan
Summary: This paper proposes a new optimization model for energy-efficient disassembly sequence planning, using minimum energy consumption as the evaluation criterion. A new extension of the whale optimization algorithm is developed to solve this complex NP-hard optimization problem. The improved whale algorithm is validated and shown to have high solution quality and efficiency.
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
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
Computer Science, Interdisciplinary Applications
Natalia Hartono, F. Javier Ramirez, D. T. Pham
Summary: This paper presents a multiobjective decision-making approach for robotic disassembly, with the goals of enhancing economic performance, reducing energy consumption, and mitigating environmental impact. Real-use cases are used as demonstrators, and different optimization algorithms are adopted to solve the multiobjective problem.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Z. H. Che, Tzu-An Chiang, Tzu-Ting Lin
Summary: This study focuses on the supplier selection problem in multiple assembly plants producing multiple products, using a multi-objective algorithm to find optimal supplier combinations and production resource allocation. The new algorithm W-NSGA2 incorporates task time and quantity mechanisms in the initial solution generation, improving efficiency and outperforming existing algorithms in office furniture assembly tasks.
APPLIED SOFT COMPUTING
(2021)
Article
Environmental Sciences
Gang Yuan, Yinsheng Yang, Guangdong Tian, Amir M. Fathollahi-Fard
Summary: This work proposes a capacitated fuzzy disassembly scheduling model with cycle time and environmental cost as parameters. It develops a metaheuristic approach based on a fruit fly optimization algorithm to find a fuzzy disassembly scheduling scheme. Experimental results demonstrate its superiority over other algorithms in terms of computational efficiency and applicability.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Engineering, Manufacturing
Lei Zhang, Yuanfeng Wu, Ziqi Li, Yu Zheng, Yongqiang Ren, Libin Zhu
Summary: This paper focuses on the issue of disassembly sequence planning in remanufacturing, proposing a selective parallel disassembly sequence planning method. Optimization is performed using a mathematical model and a novel hybrid genetic algorithm.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE
(2022)
Article
Computer Science, Interdisciplinary Applications
Xiang Sun, Shunsheng Guo, Jun Guo, Baigang Du
Summary: The existing studies on SDSP primarily focus on sequential SDSP, which is inefficient for disassembling complex products. However, energy efficiency has not been given sufficient attention in SDSP, despite its critical role in environmental impact. Therefore, this research proposes a profit-oriented and energy-efficient multi-objective asynchronous parallel SDSP (PEAPSDSP) that optimizes disassembly time, energy consumption, and disassembly profit simultaneously. The proposed two-stage interactive multi-objective evolutionary algorithm (TS-IMOEA) successfully solves PEAPSDSP by obtaining potential non-dominated solutions (NDSs) in the first stage and improving their quality in the second stage using a novel search strategy. Numerical results of three different scale cases demonstrate the superior performance of TS-IMOEA in solving PEAPSDSP and the benefits of considering selective disassembly for value recovery.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Engineering, Environmental
Tengfei Wu, Zeqiang Zhang, Tao Yin, Yu Zhang
Summary: In this study, a human-machine collaborative cell-level disassembly model of waste power battery modules (WPBMs) is proposed. The reliability and validity of the model are verified through a case study with WPBMs from the Tesla Model S. Two different disassembly schemes are obtained based on actual data, which optimize four objectives simultaneously. The proposed model provides decision-makers with additional options when considering the number of workers as an enterprise risk indicator.
Article
Engineering, Industrial
Yilin Fang, Zhiyao Li, Siwei Wang, Xinwei Lu
Summary: This paper focuses on the position-constrained human-robot collaborative disassembly planning problem for disassembly lines. A multi-objective mixed integer programming model and a multi-objective multi-fidelity optimization algorithm are developed to solve small-scale and large-scale instances. Experimental results show that the proposed algorithm is better than a high-fidelity optimization algorithm in terms of running time and performance.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
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
Thermodynamics
Hui Wang, Peimiao Li, Heye Xiao, Xuzhi Zhou, Ruiwu Lei
Summary: This study proposes a complete simulated environment for a solar-powered UAV using a multi-objective genetic algorithm, including models for solar radiation, photovoltaic cells, battery, propeller, and dynamics. The energy captured by the UAV, battery charge, and electricity released are analyzed as multi-objective functions. The results show improvements of 5.79%, -7.00%, and 10.94% in the maximum energy output of the photovoltaic cells, battery release, and state of charge, respectively, compared to traditional optimization methods. Additionally, the solar-powered UAV achieves permanent flight under optimal conditions. These findings can contribute to the design of solar-powered UAVs with high energy efficiency.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Computer Science, Theory & Methods
Shouyong Jiang, Juan Zou, Shengxiang Yang, Xin Yao
Summary: Evolutionary dynamic multi-objective optimisation (EDMO) is a rapidly growing area that uses evolutionary approaches to solve multi-objective optimisation problems with time-varying changes. After nearly two decades, significant advancements have been made in theoretic research and applications. This article provides a comprehensive survey and taxonomy of existing research on EDMO, as well as highlighting multiple research opportunities for further development.
ACM COMPUTING SURVEYS
(2023)
Article
Engineering, Industrial
Xin Liu, Feng Chu, Alexandre Dolgui, Feifeng Zheng, Ming Liu
Summary: This study focuses on the collection-disassembly problem under partial known distributional information of component demands, proposing a novel distributionally robust bi-objective formulation and constructing sample average approximation (SAA) model and approximated mixed integer programming (MIP) model to address the problem.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Environmental Sciences
Changshu Zhan, Xuesong Zhang, Guangdong Tian, Duc Truong Pham, Mikhail Ivanov, Anatoly Aleksandrov, Chenxi Fu, Junnan Zhang, Zhen Wu
Summary: Due to environmental pollution and resource shortages, the electric vehicle industry has been rapidly developing, leading to increased market demand for batteries. Proper disassembly of end-of-life vehicle batteries is necessary to promote green remanufacturing, reduce environmental pollution, and decrease reliance on natural resources.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Biology
Ferhat Sadak, Mozafar Saadat, Amir M. Hajiyavand
COMPUTERS IN BIOLOGY AND MEDICINE
(2020)
Article
Thermodynamics
Mozafar Saadat, Marie Taylor, Arran Hughes, Amir M. Hajiyavand
ADVANCES IN MECHANICAL ENGINEERING
(2020)
Article
Computer Science, Interdisciplinary Applications
Marco Maddalena, Mozafar Saadat
Summary: The research introduces a simplified neuro-mechanical model to simulate lower limb muscle activity, finding that constrained motion raises additional redundancies altering muscle activity and increasing intervention. The study suggests that there are inherent limitations in current technology, and future improvements are needed for exoskeleton-plus-treadmill devices and end-effector devices.
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING
(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
Zebang Zhang, Mozafar Saadat
Summary: This paper proposes a method for optimizing grasp poses for manipulating pipe assemblies in the manufacturing process. It formulates the problem as a constrained multi-objective optimization problem and uses an algorithm to iteratively improve solutions based on robot workspace reachability and collision avoidance. The method considers multiple inverse kinematics solutions and uses a graph search algorithm to find the optimal trajectory. Extensive benchmarks show that the proposed method achieves better overall results compared to other algorithms.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Engineering, Biomedical
T. Scone, M. Saadat, H. Barton, A. Rastegarpanah
Summary: This pilot study utilized the Linear Fit Method to compare the gait of stroke survivors with a healthy baseline in terms of walking speed. The results showed significant linear relationships between walking speed and the variations in the hemiparetic gait pattern. As walking speed increased, certain aspects of the gait pattern became more similar to the healthy comparison, while others remained different. These findings demonstrate how joint kinematics can be used to identify and quantify effective compensatory hemiparetic gait patterns.
Article
Construction & Building Technology
Seyed-Ali Sadegh-Zadeh, Arman Dastmard, Leili Montazeri Kafshgarkolaei, Sajad Movahedi, Saeed Shiry Ghidary, Amirreza Najafi, Mozafar Saadat
Summary: In this study, a prediction model for the compressive strength of concrete with superplasticizers (SPs) was developed. The results showed that the addition of SPs can increase the compressive strength of concrete, reduce water content by 25 to 35 percent, and increase resistivity by 50 to 75 percent. It was also found that SPs have the second most impact on concrete's compressive strength after cement. Therefore, future studies should focus on designing concrete mixing plans and investigating the impact of water reduction on compressive strength.
Article
Engineering, Biomedical
Marco Maddalena, Mozafar Saadat
Summary: This paper proposes a Time-Varying Kalman Filter that takes into account the effect of unknown variables by using a statistical description obtained from experimental data. The results of the experiment suggest that this method outperforms the traditional approach in terms of average performance and variability.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
(2023)
Proceedings Paper
Automation & Control Systems
Vishnu S. Rajendran, Soran Parsa, Simon Parsons, Amir E. Ghalamzan
Summary: Robotic harvesting of strawberries has gained attention, but current innovations have not yet reached the level of expert human pickers. The design of the end effector unit is crucial for the efficiency of the robotic harvesting system. This study experimentally estimates and analyzes the parameters required for gripping and cutting the strawberry peduncle, providing valuable information for the design cycle of end effectors.
2022 4TH INTERNATIONAL CONFERENCE ON CONTROL AND ROBOTICS, ICCR
(2022)
Proceedings Paper
Automation & Control Systems
Alessandra Tafuro, Adeayo Adewumi, Soran Parsa, Ghalamzan E. Amir, Bappaditya Debnath
Summary: Labor shortage and difficulties in labor management have led to the emergence of robotic systems for selective strawberry harvesting. Accurate fruit picking perception is a crucial component of such systems. Researchers have developed two novel datasets annotated with information on picking points, key points, and the weight and size of strawberries. They also propose a new baseline model for weight estimation that outperforms existing deep networks.
2022 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2022)
(2022)
Article
Engineering, Multidisciplinary
Salman Saeidlou, Mozafar Saadat, Guiovanni D. Jules
Summary: This paper investigates fundamental requirements for cloud-based scheduling service for manufacturing, proposes an inference-based system using semantic web technologies, and validates the system's effectiveness in a practical case study.
COGENT ENGINEERING
(2021)
Proceedings Paper
Automation & Control Systems
Soran Parsa, Disha Kamale, Sariah Mghames, Kiyanoush Nazari, Tommaso Pardi, Aravinda R. Srinivasan, Gerhard Neumann, Marc Hanheide, Amir E. Ghalamzan
2020 IEEE 16TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE)
(2020)
Article
Computer Science, Information Systems
Ferhat Sadak, Mozafar Saadat, Amir M. Hajiyavand
Article
Engineering, Industrial
Zalan Mahmood Ayaz Khan, Salman Saeidlou, Mozafar Saadat
PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL
(2019)
