首页|Researcher from Dongguan University of Technology Publishes Findings in Robotics (Unified Modeling and Multi-Objective Optimization for Disassembly Line Balanci ng with Distinct Station Configurations)
Researcher from Dongguan University of Technology Publishes Findings in Robotics (Unified Modeling and Multi-Objective Optimization for Disassembly Line Balanci ng with Distinct Station Configurations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics are presented i n a new report. According to news originating from Dongguan, People’s Republic o f China, by NewsRx correspondents, research stated, “Disassembly line balancing (DLB) is a crucial optimization item in the recycling and remanufacturing of was te products.” Funders for this research include Innovation Team of Intelligent Operation And M aintenance For High-end Equipment; 2022 Postdoctoral Talent Start-up Funding Pro ject. Our news correspondents obtained a quote from the research from Dongguan Univers ity of Technology: “Considering the variations in the number of operators assign ed to each station, this study investigates DLBs with six distinct station confi gurations: single-manned, multi-manned, single-robotic, multi-robotic, single-ma nned-robotic, and multi-manned-robotic setups. First, a unified mixed-integer pr ogramming (MIP) model is established for Type-I DLBs with each configuration to minimize four objectives: the number of stations, the number of operators, the t otal disassembly time, and the idle balancing index. To obtain more solutions, a novel bi-metric is proposed to replace the quadratic idle balancing index and i s used in lexicographic optimization.”
Dongguan University of TechnologyDongg uanPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRoboticsRobots
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