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| 1 | Dynamic Prediction Method of Production Logistics Bottleneck Based on Bottleneck Index显示文摘In modern manufacturing pattern,there are many uncertain factors in the modern manufacturing process,such as changes of product attribute,changes of manufacturing resources' state,and so on,which cause production logistics bottleneck frequently shift,and make decisions of production planning and control based on formed bottleneck deviated from practical production process.Considering these factors,present researches mainly apply afterwards control to optimize production process to passively adapt to bottleneck changes.If the direction of bottleneck shifting can be accurately forecasted,the transition from afterwards control of chasing bottleneck to beforehand control can be realized.Therefore,aiming at the phenomenon of production logistics bottleneck shifting under uncertain manufacturing circumstances,this paper starts off with dynamic property of capability and requirement and then builds the concepts of bottleneck degree and bottleneck index to describe dynamic bottleneck characteristic of production unit;taken production capability,production load and quality assurance capability into consideration,mathematical model of bottleneck index is established to measure bottleneck degree accurately,consequently,quantitative research on mechanism of production logistics shifting is achieved.Based on bottleneck index,the prediction model of production logistics bottleneck is founded to predict dynamic change of bottleneck accurately.Finally,an example of forecasting and monitoring the production logistics bottleneck in one manufacturing shop is given to testify the validation and practicability of the prediction method. | LIU Mingzhou TANG Juan GE Maogen JIANG Zengqiang HU Jing LING Lin | 2009 | Chinese Journal of Mechanical Engineering2009，22，5： | 22 |
| 2 | One-point extension and recollement显示文摘This paper is devoted to studying the recollement of the categories of finitely generated modules over finite dimensional algebras. We prove that for algebras A, B and C, if A-mod admits a recollement relative to B-mod and C-mod, then A[R]-mod admits a recollement relative to B[S]-mod and C-mod, where A[R]and B[S]are the one-point extensions of A by R and of B by S. | LIN YaNan LIN ZengQiang | 2008 | Science China Mathematics2008，51，3： | 7 |
| 3 | The diagnostic value of apolipoprotein E in malignant pleural effusion associated with non-small cell lung cancer显示文摘 | Yumin Wang Zengqiang Chen Jie Chen Jingye Pan Wenhui Zhang Qinshi Pan Hongyan Ding Xiaomei Lin Xiushu Wen Yangyang Li Qing H. Meng | 2013 | Clinica Chimica Acta2013，，： | 1 |
| 4 | The diagnostic value of apolipoprotein E in malignant pleural effusion associated with non-small cell lung cancer显示文摘 | Yumin Wang Zengqiang Chen Jie Chen Jingye Pan Wenhui Zhang Qinshi Pan Hongyan Ding Xiaomei Lin Xiushu Wen Yangyang Li Qing H. Meng | 2013 | Clinica Chimica Acta2013，，： | 1 |
| 5 | Selectivity regulation of CO_(2)electroreduction on asymmetric AuAgCu tandem heterostructures显示文摘Rational design and synthesis of multimetallic nanostructures(NSs)are fundamentally important for electrochemical CO_(2)reduction reaction(CO_(2)RR).Herein,a multi-step seed-mediated growth method is applied to synthesize asymmetric AuAgCu heterostructures using Au nanobipyramids as nucleation seeds,in which their composition and structures are well controlled.We find that the selectivity of C_(2)products for CO_(2)RR could be effectively regulated by tandem catalysis and electronic effect over trimetallic AuAgCu heterostructures.Particularly,the Faraday efficiency toward ethanol could reach up to 37.5%at a potential of−0.8 V versus reversible hydrogen electrode over asymmetric Au1Ag1Cu5 heterostructures with segregated domains of three constituent metals.This work provides an efficient strategy for the synthesis of multicomponent architectures to boost their promising application in CO_(2)RR. | Yating Zhu Zengqiang Gao Zhicheng Zhang Ting Lin Qinghua Zhang Huiling Liu Lin Gu Wenping Hu | 2022 | Nano Research2022，15，9： | 0 |
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