Results 281 to 290 of about 1,323,956 (316)
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Modeling City Logistics

Transportation Research Record: Journal of the Transportation Research Board, 2002
Urban freight systems are experiencing many problems due to higher levels of service and lower costs being demanded by shippers, with carriers having to operate in increasingly congested road conditions. Trucks operating in urban areas produce many negative impacts for society in terms of emissions, crashes, noise, and vibration.
Taniguchi, E, Thompson, RG
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Modeling Biomass Logistics

2017
This chapter will presents the current status and the main challenges of biomass logistics. Logistical aspects of the biomass supply chain will be delineated. It further provides a thorough description of different methodologies to design biomass value chains combined with relevant logistical assessment criteria. This includes also descriptions for how
Annevelink, Bert   +6 more
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Logistic chain modelling

European Journal of Operational Research, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Slats, P.A.   +3 more
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Logistic Mixture Models

1997
Discrete mixture distribution models (MDM) assume that observed data do not stem from a homogeneous population of individuals but are a mixture of data from two or more latent populations (Everitt and Hand, 1981; Titterington et al., 1985). Applied to item response data this means that a particular IRT model does not hold for the entire sample but that
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Logistics Network Modeling

2019
Logistics is the lifeblood of any organization and especially so for organization in the Department of Defense. Logistics has been defined by individuals such as Jomini, as “the art of moving armies,” which includes providing for their supplies and establishing lines of supplies.
William P. Fox, Robert Burks
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Integrated Logistics Models

1997
The vehicle routing models discussed in Part II assume that the frequency, timing and sizes of customer deliveries are predetermined. There are however many distribution problems in which the vehicle schedules and the timing and size of the customer deliveries are (or should be) simultaneously determined.
Julien Bramel, David Simchi-Levi
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Logistic Spline Model

2011
The chapter introduces logistic spline model that combines the principle of sigmoidal growth and the concept of interpolation splines. Logistic spline smoothly joins the latest (known) data about the number of product users with the assumed number of product users in future, and locally has a form of logistic law of growth .Applications of developed ...
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Logistic Growth Models

2003
Differential equation models, whether ordinary, delay, partial or stochastic, imply a continuous overlap of generations. Many species leave no overlap between successive generations and so population growth is in discrete steps. For primitive organisms, these discrete steps can be quite short, and hence a continuous (in time) model may be a reasonable ...
Anatoly Swishchuk, Jianhong Wu
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Logistic Regression Models

2009
Preface Introduction The Normal Model Foundation of the Binomial Model Historical and Software Considerations Chapter Profiles Concepts Related to the Logistic Model 2 x 2 Table Logistic Model 2 x k Table Logistic Model Modeling a Quantitative Predictor Logistic Modeling Designs Estimation Methods Derivation of the IRLS Algorithm IRLS Estimation ...
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Logistic Growth Model

2011
Logistic model is widely used growth model with many useful properties for technological and market development forecasting. The chapter presents developed modifications of the model that are suitable for particular cases of new product adoption forecasting. Limitations of the logistic model are shown and discussed.
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