Introduction. The Case / Main Reasons for BPRThe Business Process Reengineering method (BPR) is described by Hammer and Champy as the fundamental reconsideration and... Tools Useful tools regarding Business Pr
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Modeling and numerical simulation of an air-water quenching process for an SA508C1.3 steel shell forging are discussed in this paper. Heat treatment of steels involves several coupled physical processes, such as heat transfer, phase transformation, diffusion and internal stresses. To modeling ...
Setting the initial conditions of the simulation by referring to the real data of 2013, the multi-scenario analysis from 2013 to 2050 reveals that Chinese urbanization will reach a level higher than 70% in 2035 and then proceed to a slow urbanization stage regardless of the population policy ...
Software Process ModelingSoftware Process SimulationOpen Source Software Development ProcessesPeople-Oriented Software ProcessesSoftware Process Model ApplicationsPublisher's description: Over the years, a variety of software process models have been designed to structure, describe and prescribe the software ...
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The simulation results show that the increase of bullet's initial disturbance at the muzzle and the variation of its surface morphology caused by bore damage are primarily responsible for the life end of this 12.7 mm machine gun barrel....
Meciner et al, “High-Fidelity Real Time Dynamic Process Simulation with Object-Oriented Programming Part 1: The Tool”, Control Systems conference, Whistler, BC, 1992. Goldfarb et al, “Process Modeling for Design, Commissioning and Operational Analysis”, Computers chem. Engng. vol. 19, Supp...
BP Modeling visually represents all of the connecting activities, events, and resources of the process of a product or service to make it more efficient. BP Modeling often combines the disciplines of process mapping, process discovery, process simulation, process analysis, and process improvement. ...
Herein, we discuss an extension of GP modeling called autoregressive Gaussian process (ARGP) modeling, which uses an approximation to the target function to improve learning efficiency and has never been applied to high-accuracy chemical energy surfaces. Our calculations demonstrate that ARGP regression...