Disassembly Line Balancing Optimization Method for High Efficiency and Low Carbon Emission

2019 ◽  
Vol 8 (1) ◽  
pp. 233-247 ◽  
Author(s):  
Lei Zhang ◽  
Xikun Zhao ◽  
Qingdi Ke ◽  
Wanfu Dong ◽  
Yanjiu Zhong
Keyword(s):  
Carbon Emission ◽  
High Efficiency ◽  
Optimization Method ◽  
Line Balancing ◽  
Low Carbon ◽  
Disassembly Line Balancing ◽  
Low Carbon Emission ◽  
Disassembly Line

Sequence-Dependent Robotic Disassembly Line Balancing Problem Considering Disassembly Path

2020 ◽  
Author(s):  
Qinglian Chen ◽  
Bitao Yao ◽  
Duc Truong Pham
Keyword(s):  
High Efficiency ◽  
Line Balancing ◽  
Gear Pump ◽  
Nsga Ii ◽  
Line System ◽  
Mutation Operators ◽  
Sequence Dependent ◽  
Disassembly Line Balancing ◽  
Robotic Disassembly ◽  
Disassembly Line

Abstract For the realization of environmental protection and resource conservation, remanufacturing is of great significance. Disassembly is a key step in remanufacturing, the disassembly line system is the main scenario for product disassembly, usually consisting of multiple workstations, and has prolific productivity. The application of the robots in the disassembly line will eliminate various problems caused by manual disassembly. Moreover, the disassembly line balancing problem (DLBP) is of great importance for environmental remanufacturing. In the past, disassembly work was usually done manually with high cost and relatively low efficiency. Therefore, more and more researches are focusing on the automatic DLBP due to its high efficiency. This research solves the sequence-dependent robotic disassembly line balancing problem (SDRDLBP) with multiple objectives. It considers the sequence-dependent time increments and requires the generated feasible disassembly sequence to be assigned to ordered disassembly workstations according to the specific robotic workstation assignment method. In robotic DLBP, due to the special characteristics of robotic disassembly, we need to consider the moving time of the robots’ disassembly path during the disassembly process. This is also the first time to consider sequence-dependent time increments while considering the disassembly path of the robots. Then with the help of crossover and mutation operators, multi-objective evolutionary algorithms (MOEAs) are proposed to solve SDRDLBP. Based on the gear pump model, the performance of the used algorithm under different cycle times is analyzed and compared with another two algorithms. The average values of the HV and IGD indicators have been calculated, respectively. The results show the NSGA-II algorithm presents outstanding performance among the three MOEAs, and hence demonstrate the superiority of the NSGA-II algorithm.

Human-Robot Collaboration for Disassembly Line Balancing Problem in Remanufacturing

2019 ◽  
Author(s):  
Bin Liu ◽  
Wenjun Xu ◽  
Jiayi Liu ◽  
Bitao Yao ◽  
Zude Zhou ◽  
...  
Keyword(s):  
High Efficiency ◽  
Line Balancing ◽  
Bees Algorithm ◽  
Manufacturing Cost ◽  
Disassembly Line Balancing ◽  
Robotic Disassembly ◽  
Low Efficiency ◽  
High Flexibility ◽  
Human Robot Collaboration ◽  
Disassembly Line

Abstract Remanufacturing is able to reduce the environmental pollution and the manufacturing cost by recycling the end-of-life products. Disassembly is a critical step for the production process of remanufacturing. Traditional disassembly process is finished by either manual disassembly that has low efficiency or robotic disassembly that has low flexibility. Human-robot collaboration for disassembly integrates the advantages of manual disassembly and robotic disassembly, which has both high efficiency and high flexibility. For the design step of human-robot collaborative disassembly line, how to balance the human-robot collaboration workstation is an important optimization objective. The major difference between the human-robot collaboration for disassembly line and the traditional disassembly line is that it is necessary to ensure safety of the operator. This paper develops a set of models for the human-robot collaboration for disassembly line balancing problem, and the task classification and the allocation of human-robot collaborative disassembly are conducted. In order to ensure the safety of human-robot collaboration in disassembly, the safety strategy between the operator and the robot is considered in disassembly workstations. Subsequently, human-robot collaboration for disassembly line balancing problem with three objectives is solved by an improved discrete bees algorithm. Finally, the case studies based on disassembling bearing parts are conducted to verify the proposed method.

scholarly journals A Novel Multi-Efficiency Optimization Method for Disassembly Line Balancing Problem

2019 ◽  
Vol 11 (24) ◽  
pp. 6969 ◽  
Author(s):  
Jianhua Cao ◽  
Xuhui Xia ◽  
Lei Wang ◽  
Zelin Zhang ◽  
Xiang Liu
Keyword(s):  
Optimization Model ◽  
Optimization Method ◽  
High Energy ◽  
Line Balancing ◽  
Multi Objective Optimization ◽  
Automotive Engine ◽  
Multi Objective ◽  
Proposed Model ◽  
Disassembly Line Balancing ◽  
Disassembly Line

Disassembly is an indispensable part in remanufacturing process. Disassembly line balancing and disassembly mode have direct effects on the disassembly efficiency and resource utilization. Recent researches about disassembly line balancing problem (DLBP) either considered the highest productivity, lowest disassembly cost or some other performance measures. No one has considered these metrics comprehensively. In practical production, ignoring the ratio of resource input and value output within remanufacturing oriented disassembly can result in inefficient or pointless remanufacturing operations. To address the problem, a novel multi-efficiency DLBP optimization method is proposed. Different from the conventional DLBP, destructive disassembly mode is considered not only on un-detachable parts, but also on detachable parts with low value, high energy consumption, and long task time. The time efficiency, energy efficiency, and value efficiency are newly defined as the ultimate optimization objectives. For the characteristics of the multi-objective optimization model, a dual-population discrete artificial bee colony algorithm is proposed. The proposed model and algorithm are validated by different scales examples and applied to an automotive engine disassembly line. The results show that the proposed model is more efficient, and the algorithm is well suited to the multi-objective optimization model.

Type-E disassembly line balancing problem with multi-manned workstations

2019 ◽  
Vol 21 (2) ◽  
pp. 611-630 ◽  
Author(s):  
Ibrahim Kucukkoc ◽  
Zixiang Li ◽  
Yuchen Li
Keyword(s):  
Line Balancing ◽  
Disassembly Line Balancing ◽  
Disassembly Line

scholarly journals A Review of Hydrogen Purification Technologies for Fuel Cell Vehicles

Catalysts ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 393
Author(s):  
Zhemin Du ◽  
Congmin Liu ◽  
Junxiang Zhai ◽  
Xiuying Guo ◽  
Yalin Xiong ◽  
...  
Keyword(s):  
Fuel Cells ◽  
Fuel Cell ◽  
Carbon Emission ◽  
High Efficiency ◽  
Impurity Content ◽  
Fuel Cell Vehicle ◽  
Research Progress ◽  
Hydrogen Purification ◽  
Fuel Cell Vehicles ◽  
Low Carbon

Nowadays, we face a series of global challenges, including the growing depletion of fossil energy, environmental pollution, and global warming. The replacement of coal, petroleum, and natural gas by secondary energy resources is vital for sustainable development. Hydrogen (H2) energy is considered the ultimate energy in the 21st century because of its diverse sources, cleanliness, low carbon emission, flexibility, and high efficiency. H2 fuel cell vehicles are commonly the end-point application of H2 energy. Owing to their zero carbon emission, they are gradually replacing traditional vehicles powered by fossil fuel. As the H2 fuel cell vehicle industry rapidly develops, H2 fuel supply, especially H2 quality, attracts increasing attention. Compared with H2 for industrial use, the H2 purity requirements for fuel cells are not high. Still, the impurity content is strictly controlled since even a low amount of some impurities may irreversibly damage fuel cells’ performance and running life. This paper reviews different versions of current standards concerning H2 for fuel cell vehicles in China and abroad. Furthermore, we analyze the causes and developing trends for the changes in these standards in detail. On the other hand, according to characteristics of H2 for fuel cell vehicles, standard H2 purification technologies, such as pressure swing adsorption (PSA), membrane separation and metal hydride separation, were analyzed, and the latest research progress was reviewed.

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