Design and Analysis of Software Experiments
It is shown how experimental design, Monte Carlo simulation, and analysis of variance (ANOVA) can be used to evaluate software performance. Software based on iterative algorithms is especially difficult to evaluate. A case study based on measuring the a..
Abstract Making schedules for batch controlled plants in the chemical process industry is a topic often discussed. A wide range of scheduling tools have a separated model and a mathematical optimizer. In this paper we discuss a solution where a event discrete simulation tool is connected to the DCS. With all necessary model information stored in the DCS the scheduling tools in plant independent, where a optimizer (a combination of heuristics and genetic algorithms) generates a proposal for the final schedule.