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Yu G.D.,Chongqing University | Yang Y.,Chongqing University | Zhao X.,China Tobacco Shandong Industrial Corporation | Li G.,Chongqing University
International Journal of Simulation Modelling | Year: 2014

Disturbance is inevitable in product collaborative design (PCDSP), which has always posed a great challenge for enterprises making quick response. Thus, in the paper, a multi-objective rescheduling model and its solution algorithm are presented. Disturbance cases are analysed and dynamic scheduling procedure based on event-driven and lifecycle-driven is developed firstly. Then a multi-objective rescheduling model aiming to minimum the makespan and tardiness penalty is developed. As a solution, multi-objective dynamic adaptive scheduling algorithm (MODASA), based on bi-layer coding strategy, self-adaptive double point crossover and self-adaptive mutation, is proposed following closely. Finally, analytic results from a case of a wind turbine are used to illustrate the model and method proposed in this paper. Simulation results shows that the model and algorithm have full advantages in computing speed and precision. With the analysis, it can provide insight into ways of improving the strategic and operational decision making for enterprises. Source


Guodong Y.,Chongqing University | Yu Y.,Chongqing University | Xi Z.,China Tobacco Shandong Industrial Corporation | Aijun L.,Arizona State University
Journal of Intelligent and Fuzzy Systems | Year: 2015

Product collaborative design scheduling problem (PCDSP) has received increasing attention in the engineering field for its popularity in manufacturing and supply chain systems. Although many scholars have achieved many useful results in Job-shop scheduling problem (JSP), the research work of PCDSP is still lacking. Moreover, the fuzziness, dynamics and multi-objective of PCD pose a great challenge for enterprises making quick response to unplanned perturbations. Thus, in this paper, multi-objective dynamic fuzzy scheduling and its solution algorithm are presented. Emergencies cases are analyzed and dynamic scheduling procedure based on event-driven and lifecycle-driven is developed firstly. The fuzziness of PCD process is studied meanwhile fuzzy triangular number and fuzzy trapezoid number are used to express the fuzziness. Based on this, a multi-objective dynamic fuzzy scheduling model aiming to minimum the makespan and tardiness penalty is constructed. As a solution, multi-objective dynamic adaptive scheduling algorithm, based on bi-layer coding strategy and self-adaptive double point crossover and selfadaptive mutation, is proposed following closely. Finally, analytic results from a case of a wind turbine are used to illustrate the model and method proposed in this paper. With the analysis, it can provide insight into ways of improving the strategic and operational decision making for enterprises. © 2015-IOS Press and the authors. Source


Yu G.,Chongqing University | Yu Y.,Chongqing University | Xi Z.,China Tobacco Shandong Industrial Corporation | Liu-Aijun,Arizona State University
Journal of Intelligent and Fuzzy Systems | Year: 2016

Inevitable perturbations have a significant impact on collaborative production (CP) cause that the complexity are greatly increased. In order to assess the impact accurately enterprises to make precise decisions, it is prerequisite to master the dynamic behaviour of CP when changes occur. Accordingly, in this paper, an evolution model for simulating CP task state to perturbations is proposed. Regard CP tasks as a directed weighted complex network (DWCPTN) firstly, and statistical properties of DWCPTN are analysed. Two perturbation cases and two modifications policies are defined followed. Based on above mentioned, evolution model based on cellular automaton (CA) and SIS (Susceptible-Infected-Susceptible) is presented to reveal the varying process by three indices (friction of resolved nodes, convergence time and economic behaviour). Finally, analytic results from a case of a chemical product CP network (CPNCP) are used to illustrate the model and method proposed in this paper. Simulation results shows that unplanned perturbations promote a negative role to CP but the improvements of self-healing can decrease the negative effects efficiently. With the analysis, it can provide insight into ways of improving the strategic and operational decision making for enterprises. © 2016 - IOS Press and the authors. All rights reserved. Source


Li S.,Shandong University | Xu L.,Shandong University | Zhai Y.,Shandong University | Yu H.,China Tobacco Shandong Industrial Corporation
RSC Advances | Year: 2014

The high capacity, negligible toxicity, environmentally benign nature and abundant reserves (low cost of elements contained) of the Fe3BO 6 nanomaterial enable it to be a highly promising anode material for lithium-ion batteries. In this study, Fe3BO6 nanorods encapsulated in graphite (defined as "Fe3BO6@C") core-shell like composites have been produced in situ firstly via a co-pyrolysis approach in a stainless-steel autoclave. After subsequent calcinations, Fe3BO6 nanorods with diameters in the range of 20-50 nm were obtained with high yield, which display a first discharge capacity of 1192 mA h g-1 (with a coulombic efficiency of 70%). It is found that at the current density of 100 mA g-1, the specific capacity of the Fe3BO6 nanorods can remain at 873.2 mA h g-1 after 100 cycles; it is worth noting that their specific capacity can still remain at 710 mA h g-1 even if the current density was set at 1000 mA g-1, indicating the excellent cycle stability and promising applications of the as-obtained Fe3BO6 nanorods utilized as anode material at high power field. © 2014 The Royal Society of Chemistry. Source


Li G.,Shandong University | Yu H.,China Tobacco Shandong Industrial Corporation | Xu L.,Shandong University | Ma Q.,Shandong University | And 3 more authors.
Nanoscale | Year: 2011

Carbon nanocages (CNCs) have been synthesized through a simple approach using different alcohols and ferrous oxalate as reactants at 550 °C for 12 h in a sealed autoclave. The lengths of the sides of the CNCs are about 200-350 nm and the wall thicknesses are about 10-15 nm. The formation mechanism of the CNCs is also discussed, based on the experimental results. These CNCs show excellent removal efficiency for phenolic compounds, ammonia, and total particulate matter from cigarette smoke. The adsorption capability of CNCs prepared from ethanol is much higher than that of other samples. For example, the efficiency of 5 mg CNCs (ethanol) for removing the six phenolic compounds p-dihydroxybenzene, m-dihydroxybenzene, o-dihydroxybenzene, phenol, m-cresol, and o-cresol can reach 57.31%, 62.25%, 65.58%, 75.95%, 54.34% and 59.43%, respectively, while that of the commercial activated carbon (5 mg) can only reach 29.02%, 33.93%, 35.00%, 36.00%, 20.33% and 36.19%, respectively, under the same conditions. © 2011 The Royal Society of Chemistry. Source

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