Integrated Flow Shop and Vehicle Routing Problem Based on Tabu Search Algorithm

We consider in this paper a m-machine permutation flow shop scheduling problem and vehicle routing problem (VRP) integrated [1]. The manufacturing workshop is a flow shop and there is only one vehicle available. We are interested in the minimization of the total tardiness. related to the delivery completion times. Therefore, we are faced to three interdependent problems: scheduling the jobs in the flow shop environment, batching the completed jobs, and routing the batches. Then, we present the resolution method based on Tabu search and the results that have been obtained. Computational experiments are performed on random data sets and show the efficiency of the methods. Finally, a conclusion and some future research directions are proposed

Finite Element Modeling of deformable NEMS taking into accountmechanical contact

International audienceThis work focuses on the modeling of mechanical contact applied to Nano-Electro-Mechanical-Systems (NEMS). A magneto-elastic formulation associated to the definition of unilateral contact in static case is presented. This model is discretised by finite element method and a numerical study of a magnetic nano switch is performed. FEM results are compared to those of a semi-analytical model developed for optimization processes

Software coupling and Orchestration Tool to the Modeling of Multi-physic Problem

International audienceWe present in this paper Scot, which is a modular software solution for weakly coupling models, methods and orchestration of the simulation. The goal behind Scot is to make easier the phase of modeling and optimize the phase of simulation by tuning the solvers simulation parameters. Specifications and composition of Scot will be described. Scot has been successfully validated by two different applications, the PEEC-MoM coupling to the modeling of an electromagnetic device and the magneto-mechanic coupling to the modeling of deformable nano-switch contact NEMS

Mixing Techniques to Compute Derivatives of semi-numerical models: Application to Magnetic Nano Switch Optimization

International audienceThis paper is about derivatives techniques and their composition for semi-numerical models. Techniques such as symbolic derivation and automatic differentiation are addressed. All techniques are illustrated for the gradient based optimization of a magnetic nano switch

The experience of using e-commerce platforms affects the online purchase intention of customers in the FMCG (Fast moving consumer goods) sector in Hanoi city

In recent times, the Vietnamese e-commerce market is in a period of strong development, in addition, to the sharp increase in people’s demands to join e-commerce platforms after the epidemic. The research group started with an overview study, then research hypotheses and models were proposed. After conducting preliminary qualitative and quantitative research to adjust the appropriate scales, the research group created a questionnaire and collected data in online forms with a sample size of 350. Next, the data was entered into the software for SEM analysis. The results of the study indicate that the quality of the e-commerce platform has an indirect impact on the purchase intention through the positive impact on the trust and the negative impact on the perceived risk. Attitudes towards information, trust, perceived risk, and perceived usefulness have direct influences on purchase intention. Attitude towards information, trust, and perceived usefulness have positive effects on purchase intention, while perceived risk harms purchase intention. In addition, purchase intention is relatively strongly influenced by trust and perceived usefulness. Perceived risk and attitude towards information have little influence on purchase intention. Finally, the research team proposes some solutions for businesses to increase the purchase intention of consumers through e-commerce platforms. &nbsp

Insight QSDAR models for prediction of anticancer activity on Hela cell line of new flavonoid isolating from rhizome Zingiber zerumbet SM in Viet Nam

1385-1395This research predicts the anticancer activity on the Hela cell line of new flavonoid kaempferol-3-O-methyl ether isolating from rhizome Zingiber zerumbet SM by using the spectrum data activity relationship (QSDAR) models. This model has been developed for a set of 3-aminoflavonoids based on the simulated-spectral data 13C NMR and 15O NMR resulting from the semi-empirical quantum chemical calculations TNDO/2 SCF. The atomic sites O1, O11, C2, C3, C6, C7, and C2’ in the QSDAR models significantly contribute to anticancer activity resulting from the Genetic algorithm (GA). The best regression model QSDARMLR with the values R2train of 0.9057 and R2test of 0.7137, and the neural network modelQSDARANN I(7)-HL(9)-O(1) with the values R2train of 0.993 and R2pred of 0.971 have been explored to predict the anticanceractivities on Hela cell line for new flavonoid kaempferol-3-O-methyl ether from rhizome Zingiber zerumbet SM in Viet Nam

Insight QSDAR models for prediction of anticancer activity on Hela cell line of new flavonoid isolating from rhizome Zingiber zerumbet SM in Viet Nam

This research predicts the anticancer activity on the Hela cell line of new flavonoid kaempferol-3-O-methyl ether isolating from rhizome Zingiber zerumbet SM by using the spectrum data activity relationship (QSDAR) models. This model has been developed for a set of 3-aminoflavonoids based on the simulated-spectral data 13C NMR and 15O NMR resulting from the semi-empirical quantum chemical calculations TNDO/2 SCF. The atomic sites O1, O11, C2, C3, C6, C7, and C2’ in the QSDAR models significantly contribute to anticancer activity resulting from the Genetic algorithm (GA). The best regression model QSDARMLR with the values R2train of 0.9057 and R2test of 0.7137, and the neural network model QSDARANN I(7)-HL(9)-O(1) with the values R2train of 0.993 and R2pred of 0.971 have been explored to predict the anticancer activities on Hela cell line for new flavonoid kaempferol-3-O-methyl ether from rhizome Zingiber zerumbet SM in Viet Nam.