Sentence examples for operations under uncertainty from inspiring English sources
Mixed Integer Programming (MIP) is used to model the hierarchical structure of tactical and operational planning; simulation is used to model the supply chain operations under uncertainty; and a full factorial design is used to examine the relationships among experimental factors.
The problem of "process design and operations under uncertainty" has recently attracted the attention of many researchers from industry and academia.
A variety of OR techniques are available to address problems in human resource planning, hiring, and training in knowledge-intensive operations under uncertainty [ 28- 30].
In this article, a mixed integer (piece-wise) linear program (MILP) was developed to determine the optimal supply chain design and operation, under uncertainty.
To this end, a methodology for simulation of fuel cell operation under uncertainty is presented by considering a one-dimensional nonisothermal description of the governing physical phenomena.
User's of HEC-RAS have often unique applications including the coupling with other software to perform system analysis such as optimization of flooding structures and multi-objective reservoir operation under uncertainty.
Equation (5) imposes the balance between the synergistic capability and the uncertainties, and it describes the response of synergistic capability in power system operation under uncertainty.
In the existing methods for optimal operation under uncertainty, the WT and PV outputs are treated as stochastic variables that follow specific probability distributions.
Thus accurate wind power forecasting plays a key role in dealing with the challenges of power system operation under uncertainties in an economical and technical way.
As a result, it is imperative to consider and model the electricity grid and the natural gas network as an integrated energy system for achieving the coordinated optimal operation under uncertainties [3, 4].
Classical modeling approaches in operation research under uncertainty assume full probabilistic characterizations.
