The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform

Tirtha Pratim Dhar - One of the best experts on this subject based on the ideXlab platform.

  • Strategic Implications of Retail Pricing in the U.S. Fluid Milk Market
    2020
    Co-Authors: Tirtha Pratim Dhar
    Abstract:

    We explore brand level strategic interactions between skim/low fat and whole milk brands by estimating detailed price Elasticity Matrix using quadratic almost ideal demand system for eight major U.S. cities. Results of our analysis suggest that the market and demand behavior of skim/low fat and whole milk brands are different. Demand for skim/low fat milk is more elastic than in the case of whole milk. Highly inelastic demand for large number of Private label whole milk brands suggests 'loss leader' pricing strategy by the retailers. Such pricing strategy does not seem to be the norm in skim/low fat milk market.

  • Strategic Implications of Retail Pricing in the U.S. Fluid Milk
    2020
    Co-Authors: Tirtha Pratim Dhar
    Abstract:

    We explore brand level strategic interactions between skim/low fat and whole milk brands by estimating detailed price Elasticity Matrix using quadratic almost ideal demand system for eight major U.S. cities. Results of our analysis suggest that the market and demand behavior of skim/low fat and whole milk brands are different. Demand for skim/low fat milk is more elastic than in the case of whole milk. Highly inelastic demand for large number of Private label whole milk brands suggests 'loss leader' pricing strategy by the retailers. Such pricing strategy does not seem to be the norm in skim/low fat milk market.

Petr Krysl - One of the best experts on this subject based on the ideXlab platform.

  • mean strain eight node hexahedron with stabilization by energy sampling
    International Journal for Numerical Methods in Engineering, 2015
    Co-Authors: Petr Krysl
    Abstract:

    Summary A method for stabilizing the mean-strain hexahedron is described that differs from the currently known approaches. For simplicity, the developments are limited to linear Elasticity but with an arbitrarily anisotropic Elasticity Matrix. The technique relies on a sampling of the stabilization energy using two quadrature rules, the mean-strain quadrature and the full Gaussian integration rule. The use of two quadrature rules is shown to guarantee consistency and stability. The stabilization energy is assumed to be generated by a modified constitutive Matrix based on the spectral decomposition. The spectral decomposition of the constitutive Matrix identifies the stiff and flexible modes of deformation. The stiff modes of deformation are only sampled by the mean-strain integration, which eliminates volumetric locking for isotropic materials as well as locking due to strongly anisotropic material properties. The accuracy and convergence characteristics of the present formulations compare favorably with the capabilities of mean-strain and other high-performance hexahedral elements as implemented in ABAQUS. Copyright © 2014 John Wiley & Sons, Ltd.

  • Mean‐strain eight‐node hexahedron with stabilization by energy sampling
    International Journal for Numerical Methods in Engineering, 2014
    Co-Authors: Petr Krysl
    Abstract:

    Summary A method for stabilizing the mean-strain hexahedron is described that differs from the currently known approaches. For simplicity, the developments are limited to linear Elasticity but with an arbitrarily anisotropic Elasticity Matrix. The technique relies on a sampling of the stabilization energy using two quadrature rules, the mean-strain quadrature and the full Gaussian integration rule. The use of two quadrature rules is shown to guarantee consistency and stability. The stabilization energy is assumed to be generated by a modified constitutive Matrix based on the spectral decomposition. The spectral decomposition of the constitutive Matrix identifies the stiff and flexible modes of deformation. The stiff modes of deformation are only sampled by the mean-strain integration, which eliminates volumetric locking for isotropic materials as well as locking due to strongly anisotropic material properties. The accuracy and convergence characteristics of the present formulations compare favorably with the capabilities of mean-strain and other high-performance hexahedral elements as implemented in ABAQUS. Copyright © 2014 John Wiley & Sons, Ltd.

Tang Jieming - One of the best experts on this subject based on the ideXlab platform.

  • an optimal decision making model for power supply company s power purchase in weekly market considering price Elasticity Matrix of demand side and risk
    Power system technology, 2008
    Co-Authors: Tang Jieming
    Abstract:

    According to the requirement of power supply company, the authors propose a concept of weekly market by which the impact of price Elasticity Matrix of demand side on power purchase decision-making under time-of-use (TOU) price is led into the optimization of power supply company's power purchase from weekly market, and a multi-objective stochastic optimization model for power purchase from weekly market in which the price Elasticity Matrix of demand side and risk are considered. By use of the proposed model, following items of power supply company can be optimized, they are: partition of long-term contact in a certain future week, amount of short-term contacts signed, distribution of purchased power from spot market, generation of self-owned power plants and the plan to participate spot market and so on; at the same time, the risk attitude factor is led into measure the receptive ability of market risk. Results of Monte Carlo simulation show that the proposed model can fully consider various factors to make the optimization result more effective and practicable, thus the proposed model can be used as an auxiliary decision-making tool for power purchase and retail of power supply company.

Tarun Kant - One of the best experts on this subject based on the ideXlab platform.

  • On the angle ply higher order beam vibrations
    Computational Mechanics, 2006
    Co-Authors: Sudhakar R. Marur, Tarun Kant
    Abstract:

    Vibrations of angle ply laminated beams are studied using the higher order theory and isoparametric 1d finite element formulations through proper constitution of Elasticity Matrix. Subsequent to the validation of the formulation, deep sandwich and composite beams are critically analyzed for various boundary conditions. Frequencies classified based on their spectrum are presented along with those of first order theories for comparison.

Matti Lehtonen - One of the best experts on this subject based on the ideXlab platform.

  • A Medium-Term Decision Model for DisCos: Forward Contracting and TOU Pricing
    IEEE Transactions on Power Systems, 2015
    Co-Authors: Amir Safdarian, Mahmud Fotuhi-firuzabad, Matti Lehtonen
    Abstract:

    Time varying prices by motivating customers to reduce their consumption in peak periods propel the electricity industry towards a higher efficiency compared to that of common flat prices. Focusing on time-of-use (TOU) sale prices, this paper establishes a stochastic model for the medium-term decision making problem faced by a distribution company (DisCo). The developed model deals with the DisCo's decisions on the level of involvement in forward contracts and in the pool as well as the sale prices offered to customers. The demand response to TOU prices is captured using a price Elasticity Matrix (PEM). The objective is to maximize the DisCo's profit while the exposure risk imposed by uncertainties is limited to a given level. The model is formulated as a mixed integer linear programming (MILP) problem that can be effectively solved via commercial software packages. A typical Finnish 20-kV urban distribution network is used to demonstrate the effectiveness of the developed model.

  • Impacts of Time-Varying Electricity Rates on Forward Contract Scheduling of DisCos
    IEEE Transactions on Power Delivery, 2014
    Co-Authors: Amir Safdarian, Mahmud Fotuhi-firuzabad, Matti Lehtonen
    Abstract:

    Time-varying electricity rates enable demand-side potentials, which provide an opportunity for distribution companies (DisCos) to hedge against the financial risk imposed by volatile spot market prices and uncertain customers' load. In particular, time-varying rates can be effective alternatives for at least a portion of costly forward contracts. This paper establishes a stochastic framework to determine optimal forward market purchases under time-varying rates. Various electricity rating strategies with different time intervals covering flat, time-of-use, and real-time pricing schemes are considered. The objective of the framework is to maximize DisCo's expected profit while the exposure risk is restricted to a predetermined level. The risk is modeled using the conditional value at risk approach. The elastic behavior of demand is taken into account via the price Elasticity Matrix model. The proposed framework is formulated as a mixed-integer linear programming problem which can be easily solved through commercially available solvers. The effectiveness of the developed methodology is examined through comprehensive case studies based on real data from Finland. A detailed comparison on the scheduling of forward contracts under different rating strategies is also provided.