Logistic Management
Predictive Analytics: A Crucial Factor of Competitive Intelligence in Logistic Management
... In Today’s digitalized society, the Predictive Analysis plays a crucial and vital role in performing competitive Intelligence to ensure success of a company’s activities, like Marketing, Personnel Management, ...
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Role of Logistic Management in Supply Chain Management and Distribution
... quality management are critical to the competitive advantage of logistics service ...how logistic management helped organizations to reduce costs in their supply chains and supply ...chain ...
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A Data Integration Model for Multi-Agency Assets in Disaster Logistic Management
... disaster management, it requires specific management of its own embedded within the existing disaster managem ent ...logistics management mechanism in Malaysia and how the assets component can be ...
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REVERSE LOGISTIC MANAGEMENT IN PHARMACEUTICAL INDUSTRY A SUPPLY CHAIN ANALYSIS
... reverse logistic providers offer technology tools that provide online access to returns status down to NDC/UPC level, authorization tracking, issuance of RAs online, easy discrepancy reconciliation, shipping ...
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Logistic management in decision making in relation to storage costs in the supermarket sector
... ponto de origem até seu consumo, a fim de atender os requisitos dos clientes (Carvalho Junior; Macedo, 2012). Vários fatores contribuíram para o crescimento da logística, o primeiro deles de acordo com Ballou (2006) ...
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Accounting and analytical base for management of logistic flows in tourism business
... efficient logistic approaches for the development of tourism and recreation and management of tourist ...tourism management, a logistic strategy in tourism business serves for the creation of ...
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A Study Management in Logistic System Service Idea of Retailers in Bangkok
... of logistic management had importance for company in 2 guidelines were increase revenue in term of sale and reduction of cost production and services, cost from management both of storage and flow of ...
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Logistic Architecture Based on Models
... outsourced logistic management, through a study of the outsourcing process of a large Brazilian wholesaler distributor’s logistic ac- ...a management tool able to guide and direct the ...
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A brief review over the logistic and theta logistic growth model : Deterministic and stochastic approach
... Growth curve model plays a major role in describing the biological phenomena of any species. In ecology, relative growth rate (henceforth, RGR) can be treated as proxy of species fitness. Logistic growth model is ...
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Logistic regression for circular data
... The goodness of fit test used to determine how well a model fits a set of data. It compares the observed values with the predicted values. One of the measures used to do this test is the deviance. [21, p.12] and [20, ...
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Logistic model trees
... Table 1 gives the average classification accuracy for every method and dataset, and indicates significant wins/losses compared to LMT. Table 2 gives the num- ber of datasets on which a method (column) significantly ...
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Spreading-vanishing dichotomy in a degenerate logistic model with general logistic nonlinear term
... degenerate logistic equation with a free boundary and general logistic term in higher space dimensions and heterogeneous environment, which is used to describe the spreading of a new or invasive ...
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Infinitely Imbalanced Logistic Regression
... Next we repeat the computation replacing Φ by the CDF of the standard Cauchy distribution with density 1/(π(1 + x 2 )). The results are shown in Table 2. Here it is clear that β → 0 as N → ∞ and α appears to behave like ...
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Logistic Stick-Breaking Process
... A logistic stick-breaking process (LSBP) is proposed for non-parametric clustering of general spatially- or temporally-dependent data, imposing the belief that proximate data are more likely to be clustered ...
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Classes of Ordinary Differential Equations Obtained for the Probability Functions of Logistic and Log-Logistic Distributions
... Abstract— Differential calculus was used to obtain the ordinary differential equations (ODE) of the probability density function (PDF), Quantile function (QF), survival function (SF) and hazard function (HF) of the ...
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Logistic regression applied to natural hazards: rare event logistic regression with replications
... the logistic regressions, one matrix was es- tablished including the matrix of GIS grid-data and spatial in- formation on the observed landslide occurrence in the catch- ...
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Computational Algorithms for Penalized Logistic Regression with Categorical Predictors and Random Effect Logistic Models.
... In this chapter, using normal random effects in the logistic regression model, we intro- duce P´ olya-Gamma latent variables (Polson et al., 2013) and use the MCEM algorithm for computation. We propose two ...
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Bridging logistic and OLS regression
... a logistic regression by estimating the female and male probabilities, keeping the values of the rest of independent variables equal to their average value, and subtracting the ...a logistic regression ...
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Analysis of logistic growth models
... generalized logistic equation to describe the ...the logistic growth and termed their equation the generic logistic ...on logistic growth functions and outlined some of their respective ...
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GENERAL CONDITIONS OF LOGISTIC SERVICES
... KN informs that it is the holder of the CUSTOMER file, registered with the Spanish Agency for Data Protection. The aim of this processing is none other than the provision of services and the management of ...
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