239 research outputs found

    Optimization on FMCG Distribution Based on the Cross-Docking Mode: Taking a Cooperative Project as an Example

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    Cross-docking, as a newbreakthrough for enhancing the distribution center’s operation efficiency andreducing inventory level, has accelerated the product circulation.Distribution, as an important part of logistics service, directly influentscustomers’ satisfaction. According to FMCG (Fast Moving Consumer Goods)distribution, high warehouse cost affects the profitability of the company in away. So, reducing logistics cost and increasing efficiency has become a pivotalfocus. This paper focuses on problems such as high warehouse cost and lowoperation efficiency in project RDC that found in a cooperative project fromCompany A (a third party logistic enterprise) and Company B (FMCG company).Concerning the characteristics of FMCG distribution, this paper highlights astrategy that traditional distribution mode should be substituted by adoptingthe cross-docking mode, and that the model of the comprehensive evaluationindex system (AHP-TOPSIS) should be built in order to verify our idea. A seriesof supporting measures should be also presented based on the discussion andanalysis of mode and data, which gives recommendations on selecting a supremelogistics mode for Company A, and then achieve a more efficient operation for distributioncenters. Meanwhile researching FMCG distribution from the perspective ofcross-docking mode is an innovation. Our research considers a certaintheoretical and practical significance to enhance the overall operating abilityof the Third Party Logistics enterprises and shorten the cycle of the supplychain.Keywords: FMCG;Cross-docking mode; logistics pattern; Optimizatio

    Strong Tracking Filter for Nonlinear Systems with Randomly Delayed Measurements and Correlated Noises

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    This paper proposes a novel strong tracking filter (STF), which is suitable for dealing with the filtering problem of nonlinear systems when the following cases occur: that is, the constructed model does not match the actual system, the measurements have the one-step random delay, and the process and measurement noises are correlated at the same epoch. Firstly, a framework of decoupling filter (DF) based on equivalent model transformation is derived. Further, according to the framework of DF, a new extended Kalman filtering (EKF) algorithm via using first-order linearization approximation is developed. Secondly, the computational process of the suboptimal fading factor is derived on the basis of the extended orthogonality principle (EOP). Thirdly, the ultimate form of the proposed STF is obtained by introducing the suboptimal fading factor into the above EKF algorithm. The proposed STF can automatically tune the suboptimal fading factor on the basis of the residuals between available and predicted measurements and further the gain matrices of the proposed STF tune online to improve the filtering performance. Finally, the effectiveness of the proposed STF has been proved through numerical simulation experiments

    Integrating the interpersonal theory of suicide into the relations between cyber-victimization and suicidality among adolescents:A short-term prospective study

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    The relation between cyber-victimization and suicidality among adolescents has been well documented; however, the mechanisms underlying this association have not been well investigated. Drawing upon the interpersonal theory of suicide, this study aimed to examine the mediating mechanisms (i.e., thwarted belongingness and perceived burdensomeness) underlying longitudinal, bidirectional relations between cyber-victimization and suicidal ideation/attempts among adolescents and explore gender differences in the mechanisms. Participants were 497 Chinese adolescents (46.1 Mage = 13.28, SD = .66), who completed the assessment of cyber-victimization, thwarted belongingness, and perceived burdensomeness, suicidal ideation/attempts at three-time points. The time interval between each two assessments is two weeks. Results showed the reciprocal relations between cyber-victimization and thwarted belongingness/perceived burdensomeness, between thwarted belongingness and suicidal ideation/suicide attempts, and between perceived burdensomeness and suicide attempts. Longitudinal mediation analyses indicated that Time 2 thwarted belongingness mediated the relation between Time 1 cyber-victimization and Time 3 suicidal ideation/suicide attempts. Besides, the reverse pathway from Time 1 suicidal ideation to Time 3 cyber-victimization was also mediated by Time 2 thwarted belongingness, but it was only significant in females, as suggested by multiple-group analyses. According to the aforementioned results, the interpersonal theory of suicide provides a useful framework for understanding relations between cyber-victimization and suicidality. Findings suggest that intervention targeted at improving the need to belong may help reduce suicide risk and lower cyber-victimization. Anti-cyber-victimization should be integrated into suicide intervention and prevention programs, and gender differences should be taken into account in order to enhance the program’s effectiveness

    Integrating fuzzy theory into Kano model for classification of service quality elements: a case study of machinery industry in China

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    Purpose: The purpose of study is to propose and verify a method of service quality elements classification through integrating fuzzy theory into Kano model. The method has the merit of being more effective in processing customers’ psychology of vagueness and uncertainties than traditional Kano model. Design/methodology/approach: In this study, considering the disadvantages of traditional Kano model in service quality elements classification without taking into account customers’ complex consuming psychology, and combining with fuzzy theory which is effective to cope with uncertainty and ambiguity, a new framework of integrating fuzzy theory into Kano model in quality elements classification is proposed. In view of the strong subjectivity of traditional Kano questionnaires, a fuzzy Kano questionnaire considering the evaluators’ multi-feelings is proposed. Furthermore, this study will also develop a mathematical calculation performance according to the classification of fuzzy Kano model. With this method, the accurate mentality can be fully reasonable reflected in some unknown circumstances. Finally, an empirical study in Xuzhou Construction Machinery Group Co., Ltd, the largest manufacturing industry in China, is showed to testify its feasibility and validity. Findings: The calculation results and the application effect show that the proposed model has good performance in classifying customer requirements. With this method, the accurate mentality can be fully reasonable reflected in unknown circumstances and it is more objective than traditional Kano model to classify the service quality elements. Originality/value: This study provides a method to integrate fuzzy theory and Kano model, and develops a framework to classify service quality elements.Peer Reviewe
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