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Process optimization is the discipline of adjusting a process so as to make the best or most effective use of some specified set of parameters without violating some constraint. Common goals are minimizing cost and maximizing throughput and/or efficiency. Process optimization is one of the major quantitative tools in industrial decision making.
Process simulation is used for the design, development, analysis, and optimization of technical process of simulation of processes such as: chemical plants, chemical processes, environmental systems, power stations, complex manufacturing operations, biological processes, and similar technical functions.
Process flowsheeting is the use of computer aids to perform steady-state heat and mass balancing, sizing and costing calculations for a chemical process. It is an essential and core component of process design. The process design effort may be split into three basic steps Synthesis; Analysis and; Optimization.
In computational mathematics, an iterative method is a mathematical procedure that uses an initial value to generate a sequence of improving approximate solutions for a class of problems, in which the i-th approximation (called an "iterate") is derived from the previous ones.
It can perform steady state mass and energy balance calculations for modeling, simulating and optimizing continuous processes. [4] [5] ROMeo 6.0 has been released with increased access to native Refinery Process Models based on technology from ExxonMobil. From ROMeo 7.0, ROMeo changed from 32 bit to 64bit.
Optimization comes at a price and it is important to be sure that the investment is worthwhile. An automatic optimizer (or optimizing compiler, a program that performs code optimization) may itself have to be optimized, either to further improve the efficiency of its target programs or else speed up its own operation. A compilation performed ...
Evolutionary Operation (EVOP) is a manufacturing process-optimization technique developed in the 1950s by George E. P. Box. [1] In EVOP experimental designs and improvements are introduced, while an ongoing full-scale manufacturing process continues to produce satisfactory results. The idea is that process improvement should not interrupt ...
This process is called simulation optimization. [2] Specific simulation–based optimization methods can be chosen according to Figure 1 based on the decision variable types. [3] Fig.1 Classification of simulation based optimization according to variable types. Optimization exists in two main branches of operations research:
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