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Search Results: 1 - 10 of 5749 matches for " logistic approach "
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Problems of logistic systems sustainable development in delivery chains
LogForum , 2011,
Abstract: Background: Realization of supply chains management paradigm, covering significantly more volumes of logistic space, logically leads to complication of logistic systems, which, in its turn, arises significant number of problems of both theoretical and practical character. In our opinion, not all the aspects of logistic systems design and their sustainable functioning have received by the present time corresponding coverage in scientific literature. More detailed consideration requires specific problems of logistic systems interaction with their environment. We can talk about formation of new scientific direction (which we suggest to name logistic environics), being applied addition to classical approach to design of logistic systems. Methods: the formalized description of interaction process for logistic systems with the environment was presented and discussed from ecological, social, economical, organizational and technological, technical, natural scientific positions. Results and conclusions: There is an interaction between logistics systems and the environment, but formalized description of logistic systems interaction process with the environment requires performance of complex interdisciplinary research from many different positions.
Organizational and Economic Support of the Introduction of Logistic Approach to the Enterprise Management
I. Dzyobko
Economics of Development , 2010,
Abstract: Necessary organizational and economic support of the introduction of logistic approach to the enterprise management s considered.A specific sequence of actions for the introduction of organizational changes, which implementation will lead to the harmonious operation of the enterprise’s business-processes, taking into consideration advanced logistics ideas is represented.Each stage of the suggested algorithm is supplied with a description. It is also proved that after the introduction and adjustment of a new management system, taking into account its optimizing characteristics, begins a continuous cyclic process of self-adjustment, self-improvement and development in the life cycles of the broadened reproductive activity.
Stock Price Direction Prediction Using Artificial Neural Network Approach: The Case of Turkey
D. Senol,M. Ozturan
Journal of Artificial Intelligence , 2008,
Abstract: In this study, it is aimed to illustrate that Artificial Neural Network (ANN) can be used for predicting the stock price behaviour in terms of its direction. Financial daily statistical data, derived from raw price data obtained from Istanbul Stock Exchange (ISE), which is the only stock market in Turkey, have been defined in terms of five independent variables that are grouped in seven different Prediction System (PS) models to which eight different ANN and Logistic Regression (LR) models have been applied. For this purpose, a software library package is developed using C#.NET to run the ANN models whereas a commercial statistical analysis software package is used to run the LR model. At the end of the study; the best PS and ANN models are determined for ANN methodology by comparing the average mean squared errors of training sets and the best PS model is determined for LR methodology by eliminating the insignificant independent variables; the outputs of the developed software library package and a commercial ANN software are compared on the basis of prediction success rate and the accuracies of prediction by ANN and LR methodologies are compared on the basis of coefficient of determination. The results show that; the best results are obtained for the PS model that has used stochastic indicator for 14 days (K14%), stochastic moving average (D3%) and relative strength index of 14 days (RSI14) simultaneously for both ANN and LR methodologies whereas the best ANN model has consisted of three inputs, 11 hidden neurons in single hidden layer and one output; developed software library package performs statistically same as the commercial software; statistically ANN methodology outperforms LR methodology; and there is relevant empirical evidence that ISE-30 is not weak form efficient.
Childlessness in Ontario and Quebec: results from 1971 and 1981 Census data
Rao, K. Vaninadha
Canadian Studies in Population , 1987,
Density dependence in North American ducks
Jamieson, L. E.,Brooks, S. P.
Animal Biodiversity and Conservation , 2004,
Abstract: The existence or otherwise of density dependence within a population can have important implications for the management of that population. Here, we use estimates of abundance obtained from annual aerial counts on the major breeding grounds of a variety of North American duck species and use a state space model to separate the observation and ecological system processes. This state space approach allows us to impose a density dependence structure upon the true underlying population rather than on the estimates and we demonstrate the improved robustness of this procedure for detecting density dependence in the population. We adopt a Bayesian approach to model fitting, using Markov chain Monte Carlo (MCMC) methods and use a reversible jump MCMC scheme to calculate posterior model probabilities which assign probabilities to the presence of density dependence within the population, for example. We show how these probabilities can be used either to discriminate between models or to provide model averaged predictions which fully account for both parameter and model uncertainty.
Logistic Architecture Based on Models  [PDF]
Tania Regina Brasileiro A. Teixeira, Márcio Lopes Pimenta
iBusiness (IB) , 2014, DOI: 10.4236/ib.2014.64020
Abstract: The article identifies the essential dimensions in relation to outsourced logistic management, through a study of the outsourcing process of a large Brazilian wholesaler distributor’s logistic activities. The author has developed a management tool able to guide and direct the outsourcing operators of integrated logistic services so as to allow them to organize their management system. The author proposes a logistic architecture based on models which will facilitate the managerial work and transform the logistic system into a strategic skill, thus leveraging its ability to compete in the market. This idea is focused on the client, and is capable of integrating and managing all the interface elements of the logistic system, connecting and joining all of them in order to perform more organized and structured logistic activities. Therefore, the logistic architecture based on models represents the nature and structure of a logistic system as well as determines the way for it to operate.
Lower Blepharoplasty Review, Transcon-junctival vs. Transcutaneous Approach  [PDF]
Alberto Rancati, Patricio Jacovella, Andrea Edoardo Zampieri, Julio Dorr, Mariana Daniele, Santiago Liedtke, Agustin Rancati
Modern Plastic Surgery (MPS) , 2015, DOI: 10.4236/mps.2015.51001
Abstract: Currently in lower blepharoplasty, the transconjunctival approach indication has been limited to young patients without skin excess and prominence of bags; in our practice this access has become the preferred technique in most of our cases because it is simpler, faster, prevents bad scarring, produces less orbicularis muscle trauma, and decreases postoperative edema and possible retractions (ectropion) in patients with decreased lower palpebral tone. Objective: To identify important concepts when deciding this approach. Material and Methods: Retrospective review of 177 patients who underwent lower blepharoplasty by a single surgical group. Regarding techniques, the transconjunctival approach was selected in 42% of patients while the transcutaneous technique was preferred in 58%. Results: A lower rate of complications was observed by the transconjunctival approach, with greater patient satisfaction. Conclusions: In our experience, due to its simplicity and less traumatic effect on the patient, the transconjunctival approach is an ideal technique, except in cases where there is lower eyelid weakness and surgical resolution is needed.
Logistic Cost Management in Enterprises: The Example of Karaman, Aksaray and Kayseri Provinces
Rabia Ozpeynirci,Haluk Duman,Talip Arsu
Asian Economic and Financial Review , 2012,
Abstract: Logistics management is the customer, market and distributional channel based planning of logistic activities and determining the execution of these activities through outsourcing or within the enterprise and conducting the process. And logistic cost management is the preparation of product-based cost and income analysis of the planned logistic activities. Logistics management has two dimensions for the market (external environment) in one aspect and for the enterprise (internal environment) in another aspect. Logistic cost management, on the other hand, requires three-dimensional analysis which also includes product and service based performance analysis involving the other two dimensions. Logistics, the importance of which has gradually increased in recent years in terms of providing the enterprises with competitive advantage, has been studied with regards to cost and management in an attempt to measure the logistic cost management perception of the enterprises active in the organized industrial zones of Karaman, Aksaray and Kayseri provinces in Turkey.
Modeling of prediction system: an application of nearest neighbor approach to chaotic data
N. Z. A. Hamid,M. S. M. Noorani
Applied Mathematics and Computational Intelligence , 2013,
Abstract: This paper is about modeling of chaotic systems via nearest neighbor approach. This approach holds the principle that future data can be predicted using past data information. Here, all the past data known as neighbors. There are various prediction models that have been developed through this approach. In this paper, the zeroth-order approximation method (ZOAM) and improved ZOAM, namely the k-nearest neighbor approximation (KNNAM) and weighted distance approximation method (WDAM) were used. In ZOAM, only one nearest neighbor is used to predict future data while KNNAM uses more than one nearest neighbor and WDAM add the distance element for prediction process. These models were used to predict one of the chaotic data, Logistic map. 3008 Logistic map data has been produced, in which the first 3000 data were used to train the model while the rest is used to test the performance of the model. Correlation coefficient and average absolute error are used to view the performance of the model. The prediction results by the three models are in excellent agreement with the real data. This shows that the nearest neighbor approach works well to predict the chaotic data. Unfortunately, increasing the number of nearest neighbors from ZOAM to KNNAM not managed to improve prediction performance. However, the added element of the distance is a great idea for improving prediction performance. Overall, WDAM is the best model to predict the chaotic data compared to ZOAM and KNNAM.
Effect Modeling of Count Data Using Logistic Regression with Qualitative Predictors  [PDF]
Haeil Ahn
Engineering (ENG) , 2014, DOI: 10.4236/eng.2014.612074
Abstract: We modeled binary count data with categorical predictors, using logistic regression to develop a statistical method. We found that ANOVA-type analyses often performed unsatisfactorily, even when using different transformations. The logistic transformation of fraction data could be an alternative, but it is not desirable in the statistical sense. We concluded that such methods are not appropriate, especially in cases where the fractions were close to 0 or 1. The major purpose of this paper is to demonstrate that logistic regression with an ANOVA-model like parameterization aids our understanding and provides a somewhat different, but sound, statistical background. We examined a simple real world example to show that we can efficiently test the significance of regression parameters, look for interactions, estimate related confidence intervals, and calculate the difference between the mean values of the referent and experimental subgroups. This paper demonstrates that precise confidence interval estimates can be obtained using the proposed ANOVA-model like approach. The method discussed here can be extended to any type of experimental fraction data analysis, particularly for experimental design.
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