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This article is conducting a study on the demand forecast from the x-retailers, y-distribution centers, z-suppliers supply chain of logistics area. The supply chain will be divided into upstream and downstream levels. Combined with the characteristics of the supply chain and demand characteristics of the regional logistics network, Dijkstra shortest path algorithm is used and its demand forecast model...
It is necessary to analyze the demand for emergency materials before establishing a regional reserve system of emergency materials. In this paper, emergency materials are classified according to its use value and characteristics. The reasoning framework of the analysis of demand for emergency materials is constructed. The assessment method of emergent events is discussed by using fuzzy evidence theory,...
The uncertainty of generation required to maintain system balancing has been growing significantly due to the penetration of renewable energy resources such as wind power and the impact of demand response. To deal with such uncertainty, RTO's require not only more accurate demand forecasting for longer-term prediction beyond real-time, but also demand forecasting with confidence intervals. In this...
Model Predictive Control (MPC) offers an attractive way to systematically address uncertainty in demand forecasts, factory execution, or external supply and effectively mitigate potential under-damped responses in the closed-loop system. However, other practical concerns may preclude the use of classical formulations of MPC. Of particular importance is the ability to ship material through auxiliary...
In order to efficiently manage a single echelon supply chain under stochastic disturbance and probabilistic constraints, we propose a stochastic model predictive control (SMPC) framework and implement the Markov Chain Monte Carlo (MCMC) algorithm to solve stochastic programming problems in a receding horizon scheme. The generalized autoregressive conditional heteroskedasticity (GARCH) model is adopted...
Demand forecasts play a crucial role in modern enterprise management. However, the diversity and uncertainty of the economic environment often make it hard to produce accurate forecasting results, especially when historical data change dramatically and there rise similar or substituting products. This paper discusses how to handle the historical demand data, analyze the market share of similar products,...
One of the important aspects of energy modeling is the process of demand curve prediction. Existing demand curve prediction methods generally rely on statistical curve fittings which assume a certain functional form such as constant price elasticity. There are a number of disadvantages to this approach. For one, this method makes certain assumptions about the functional form of the price-demand curve...
This paper presents a formulation of fuzzy mixed integer programming (FMIP) solution for solving security-constrained unit commitment (SCUC) problem with emphasis on uncertainties in forecasted parameters in constraints. The proposed approach could be used by vertically integrated utilities as well as the ISOs in restructured power system. In this model, uncertainties in forecasted load demand, ancillary...
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