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Online since: January 2013
Authors: Chun Tung Chen
Protection
Recycling and reuse
Reducing use of materials
0 1 9 22 14
0 1 8 22 15
187
4.07
6.01%
10
189
4.11
6.07%
9
Sum
67.7
100%
Preparing Quality Function Deployment Table
The quality projects have been converted from demand and sorted into quality deployment table, the quality analysis will be yielded according to the quality table.
use 13 △ △ ○ △ △ ◎ △ △ ○ ○ △ 4.2 6.2 7 Environ- mental Protection Recycling and reuse 14 ○ ○ △ ◎ ○ 4.07 6 10 Material reduction 15 ○ ◎ ○ ○ ◎ 4.11 6.07 9 Quality Weights Absolute weights 9.55 66.1 85 110 77 71.8 64 91 119 65 81 43.6 43.6 78.2 74.4 1163.5 Quality element weights% 8.21 5.68 7.3 9.4 6.6 6.17 5.5 7.8 10 5.6 7 3.74 3.74 6.72 6.39 RESULTS AND DISCUSSION (Table 3-3 )shows that there is a number of design factors for plastic folding chairs, which demand elements mainly include “aesthetic,” “convenience,” “structural safety,” “comfort,” and “environmental production.
Finally in terms of environmental protection, although the rise of green awareness in recent years have urged people to enhance their concepts of environmental product, the survey in contrast did not discover consumers emphasizing more on the reduction of materials and recycling materials for reuse as expected.
In terms of easy assembly, the combination of using plastic elasticity and no use of screws not only educes assembly time but also simplifies the overall assembly process, making materials more easily recycled and reused.
Journal of Design , 8(2) , pp . 35-50 , (1994)
use 13 △ △ ○ △ △ ◎ △ △ ○ ○ △ 4.2 6.2 7 Environ- mental Protection Recycling and reuse 14 ○ ○ △ ◎ ○ 4.07 6 10 Material reduction 15 ○ ◎ ○ ○ ◎ 4.11 6.07 9 Quality Weights Absolute weights 9.55 66.1 85 110 77 71.8 64 91 119 65 81 43.6 43.6 78.2 74.4 1163.5 Quality element weights% 8.21 5.68 7.3 9.4 6.6 6.17 5.5 7.8 10 5.6 7 3.74 3.74 6.72 6.39 RESULTS AND DISCUSSION (Table 3-3 )shows that there is a number of design factors for plastic folding chairs, which demand elements mainly include “aesthetic,” “convenience,” “structural safety,” “comfort,” and “environmental production.
Finally in terms of environmental protection, although the rise of green awareness in recent years have urged people to enhance their concepts of environmental product, the survey in contrast did not discover consumers emphasizing more on the reduction of materials and recycling materials for reuse as expected.
In terms of easy assembly, the combination of using plastic elasticity and no use of screws not only educes assembly time but also simplifies the overall assembly process, making materials more easily recycled and reused.
Journal of Design , 8(2) , pp . 35-50 , (1994)
Online since: October 2025
Authors: Umar Farooq, Sina Tijani, Ganjar Alfian
Within logistics, DTs offer the potential to revolutionise warehouse operations by providing real-time insights into inventory levels, equipment performance, and material flow [8].
Search Terms used in finding and collecting journal articles Fig. 2.
Fig. 3 shows 20 journal articles selected for the analysis.
,” Journal of the Operational Research Society, vol. 60, no.
Sun, “Research on the Application of Digital Twin Technology in Intelligent Information System of Modern Logistics Warehouse,” 2023 IEEE 3rd International Conference on Data Science and Computer Application, ICDSCA 2023, pp. 1082–1086, 2023, doi: 10.1109/ICDSCA59871.2023.10392494
Search Terms used in finding and collecting journal articles Fig. 2.
Fig. 3 shows 20 journal articles selected for the analysis.
,” Journal of the Operational Research Society, vol. 60, no.
Sun, “Research on the Application of Digital Twin Technology in Intelligent Information System of Modern Logistics Warehouse,” 2023 IEEE 3rd International Conference on Data Science and Computer Application, ICDSCA 2023, pp. 1082–1086, 2023, doi: 10.1109/ICDSCA59871.2023.10392494
Online since: November 2011
Authors: Guang Jian Chen, Jin Ling Jia, Yao Yi
Research on Energy-Saving Control Technology of Boiler
Yao Yi1, a, Guangjian Chen 2, b and Jinling Jia 2, c
1School of Automation and Electronic Information
Sichuan University of Science & Engineering Zigong, China
2School of Computer Science
Sichuan University of Science & Engineering Zigong , China
ayaoyi6166@suse.edu.cn, b8326127@qq.com, cjiajinling@suse.edu.cn
Keywords: boiler; energy-saving control; smoke detection; neural network model
Abstract.
These four methods regard the smoke as a whole and make the measurement, however, O2, CO, CO2 gas in flue gas and Fe, Al, Ca, Mg, S and other materials in fly ash will cause the changes in dielectric constant of fly ash.
The concentration relationship between CO and CO2 Fig. 3.Controlling model of combustion neural network Here, if all feeders are regarded as feeding equivalent materials we can see the amount of coal delivery as a parameter.
A Microwave System within the Boiler Flue forMeasuring Unburnt Carbon in Fly Ash,journal Of Eastchina Normal University(Natural Science), 1999,8:4~6 [10] Yao Yi, Yao Yachuan.
These four methods regard the smoke as a whole and make the measurement, however, O2, CO, CO2 gas in flue gas and Fe, Al, Ca, Mg, S and other materials in fly ash will cause the changes in dielectric constant of fly ash.
The concentration relationship between CO and CO2 Fig. 3.Controlling model of combustion neural network Here, if all feeders are regarded as feeding equivalent materials we can see the amount of coal delivery as a parameter.
A Microwave System within the Boiler Flue forMeasuring Unburnt Carbon in Fly Ash,journal Of Eastchina Normal University(Natural Science), 1999,8:4~6 [10] Yao Yi, Yao Yachuan.
Online since: January 2014
Authors: Zheng Gang He, Ye Zou
Remanufacturing cost is only 50% of new products, and it can save 60% of energy, 70% of material [1].
Acknowledgment This work was finally supported by National Social Science Fund of China (Grant No. 13CGL127), Sichuan Science and technology project (Grant No. 2013ZR0041), Chengdu Science and technology project (Grant No. 12RKYB087ZF-002), china society of logistics research project (Grant No. 2013CSLKT107).
[10] S.Chen, Dismantling and Reuse of Discarded Automobiles, Automobile technology & materials, 7 (2007)06-09
[11] Frank Schultmann, Moritz Zumkeller,Otto Rentz, Modeling reverse logistic tasks within closed-loop supply chains- An example from the automotive industry, European Journal of Operational Research 171(2006) 1033-1050
Management Science, 28(2000)653-666
Acknowledgment This work was finally supported by National Social Science Fund of China (Grant No. 13CGL127), Sichuan Science and technology project (Grant No. 2013ZR0041), Chengdu Science and technology project (Grant No. 12RKYB087ZF-002), china society of logistics research project (Grant No. 2013CSLKT107).
[10] S.Chen, Dismantling and Reuse of Discarded Automobiles, Automobile technology & materials, 7 (2007)06-09
[11] Frank Schultmann, Moritz Zumkeller,Otto Rentz, Modeling reverse logistic tasks within closed-loop supply chains- An example from the automotive industry, European Journal of Operational Research 171(2006) 1033-1050
Management Science, 28(2000)653-666
Online since: November 2010
Authors: Bin Quan Jiao, Dong Wei Li, Jin Liu
The solid waste and weak acid water mixed in a certain solid-to-liquid ratio (1:10) and the leachate was obtained by filtering the undissolved materials.
Zheng: Environment Science.Vol. 22 (2001)No.3, p.126-128
Liu: Journal of Liaoning Technical University.
Xu:Environmental Science and Management.Vol. 20 (2007) No.2, p.39-44
Duan,et al: Research of Environmental Sciences.
Zheng: Environment Science.Vol. 22 (2001)No.3, p.126-128
Liu: Journal of Liaoning Technical University.
Xu:Environmental Science and Management.Vol. 20 (2007) No.2, p.39-44
Duan,et al: Research of Environmental Sciences.
Online since: January 2011
Authors: Jie Yin, Qian Mu Li, Xiang He Wei, Yong Qi
The Design and Analysis on Communication Physical layer of high-speed inter-missile networking
Qi Yong1, a, Li Qianmu1,b , Wei Xianghe1,c and Yin Jie2,d
1School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China
2School of Computer Science & Technology, Jiangsu Police Institute, China
Anjqiyong2003@yahoo.com.cn, bliqianmu@126.com, chouxiaozhu@126.com, ayinjie@jspi.cn
Keywords: high-speed inter-missile networking, Physical layer, Communication solution
Abstract.
Acknowledgements This work was financially supported by the National Natural Science Foundation of China (60903027, 90718021), Jiangsu Public Security Department Scientific Project and NUST Research Funding (2010XQTR04).
Key Engineering Materials , 2010, Vols. 440 [2] Li Qianmu, Wang Rui, Yin Jie and Hou Jun.
Key Engineering Materials, 2010, Vols. 439 [3] Xu Jia, Li Qian-mu, ZHANG Hong, LIU Feng-yu.
Computers & Electrical Engineering, 2010 , Vol.36, Issue 3 [4] Li QM, Zhang H, Liu FY, A Data-link User’s Safeguard Strategy Based on Reliability Theory , Journal of Computational Information Systems,2006,2(3)
Acknowledgements This work was financially supported by the National Natural Science Foundation of China (60903027, 90718021), Jiangsu Public Security Department Scientific Project and NUST Research Funding (2010XQTR04).
Key Engineering Materials , 2010, Vols. 440 [2] Li Qianmu, Wang Rui, Yin Jie and Hou Jun.
Key Engineering Materials, 2010, Vols. 439 [3] Xu Jia, Li Qian-mu, ZHANG Hong, LIU Feng-yu.
Computers & Electrical Engineering, 2010 , Vol.36, Issue 3 [4] Li QM, Zhang H, Liu FY, A Data-link User’s Safeguard Strategy Based on Reliability Theory , Journal of Computational Information Systems,2006,2(3)
Online since: November 2011
Authors: Da Qiang Cang, Ling Ling Zhang, Li Xue Qin, Dong Xu, Jian Feng Duan
State Key Laboratory of Advanced Metallurgy, University of Science and Technology, Beijing 100083, China;
axdong_ustb@yeah.net; bcangdaqiang@metall.ustb.edu.cn, clinglingzhangll@hotmail.com, dlixue40522024@163.com, eduanjianfeng_1987@126.com
Keywords: converter; nozzle angle; mixing gas blowing; BOF dust
Abstract: The hot experiment was carried out to study the effect of lance nozzle and mixing gas blowing on steelmaking.
Acknowledgement This work is sponsored by the National Natural Science Foundation of China (51034008) and Major Project of the National 12th Five-Year Plan of China (2011BAC06B10).
Metallurgical and Materials Transactions B-Process Metallurgy and Materials Processing Science, Vol. 27(1996): p.35-41
Journal of University of Science and Technology Beijing. 2007, Vol. 29(2007): p 77-80.
Acknowledgement This work is sponsored by the National Natural Science Foundation of China (51034008) and Major Project of the National 12th Five-Year Plan of China (2011BAC06B10).
Metallurgical and Materials Transactions B-Process Metallurgy and Materials Processing Science, Vol. 27(1996): p.35-41
Journal of University of Science and Technology Beijing. 2007, Vol. 29(2007): p 77-80.
Online since: January 2012
Authors: J.L. Tang, C.Z. Cai, X.J. Zhu, G.L. Wang, D.F. Cao
Methods and Materials
Theory of SVR
Suppose a sample is represented by (x, y), where x is the independent variables, y the dependent one.
Ren, “Back propagation neural network (BPNN) prediction model and control strategies of methanogen phase reactor treating traditional Chinese medicine wastewater (TCMW),” Journal of Biotechnology, vol. 144, no. 1, pp. 70-74, 2009
Zhu and T.T Xiao, “Corrosion rate prediction of 3C steel under different seawater environment by using support vector regression,” Corrosion Science vol. 51, pp. 349-355, 2009
Kennedy, “A new Optimizer using Particle swarm optimization,” Proceedings of The 6th International Symposium on Micro Machine and Human Science, pp. 39-43, 1995
Shang, “Prediction of tungsten tensile strength with artificial BP neural network method," Materials Science and Technology, vol. 14, pp. 63-65, 2006.
Ren, “Back propagation neural network (BPNN) prediction model and control strategies of methanogen phase reactor treating traditional Chinese medicine wastewater (TCMW),” Journal of Biotechnology, vol. 144, no. 1, pp. 70-74, 2009
Zhu and T.T Xiao, “Corrosion rate prediction of 3C steel under different seawater environment by using support vector regression,” Corrosion Science vol. 51, pp. 349-355, 2009
Kennedy, “A new Optimizer using Particle swarm optimization,” Proceedings of The 6th International Symposium on Micro Machine and Human Science, pp. 39-43, 1995
Shang, “Prediction of tungsten tensile strength with artificial BP neural network method," Materials Science and Technology, vol. 14, pp. 63-65, 2006.
Online since: March 2018
Authors: Guan Cheng Jiang, Wu Ge Cui, Yinbo He
Experimental
Materials.
Acknowledgments We would like to thank for the financial support from Foundation for Innovative Research Groups of the Natural Science Foundation of China (51221003), National Natural Science Foundation of China (51474231 and U1262201) and Foundation from Major Programs of China during 13th Five-Year Plan Period (2016ZX05022-001-001-001, 2016ZX05040-001-002 and 2016ZX05020-004) for this work.
Applied Clay Science 2016;121–122:1-8
Journal of Petroleum Science and Engineering 2015;135:505-514
ACS Applied Materials & Interfaces 2015;7:5006-5016
Acknowledgments We would like to thank for the financial support from Foundation for Innovative Research Groups of the Natural Science Foundation of China (51221003), National Natural Science Foundation of China (51474231 and U1262201) and Foundation from Major Programs of China during 13th Five-Year Plan Period (2016ZX05022-001-001-001, 2016ZX05040-001-002 and 2016ZX05020-004) for this work.
Applied Clay Science 2016;121–122:1-8
Journal of Petroleum Science and Engineering 2015;135:505-514
ACS Applied Materials & Interfaces 2015;7:5006-5016
Online since: October 2011
Authors: Syafinaz Wan Anwar Wan, Mohamed Zahidi Musa, Mohd Firdaus Malek, Diyana Md Sin, Mohamad Rusop, Mohamad Hafiz Mamat, Salina Muhamad, Zuraida Khusaimi
ZnO is a wide semiconductor material that has an energy bandgap of 3.3 eV and a large exciton binding energy of 60 meV.
Science Officer) and Mr.
Shi: Journal of Crystal Growth Vol. 300 (2007) p. 353 [6] S.
Qing: Science China Physics, Mechanics & Astronomy Vol. 54(1) (2011), p. 102 [7] X.C.
Que: Solar Energy Materials & Solar Cells Vol. 94 (2010), p. 2181
Science Officer) and Mr.
Shi: Journal of Crystal Growth Vol. 300 (2007) p. 353 [6] S.
Qing: Science China Physics, Mechanics & Astronomy Vol. 54(1) (2011), p. 102 [7] X.C.
Que: Solar Energy Materials & Solar Cells Vol. 94 (2010), p. 2181