Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7545247 | Procedia Manufacturing | 2018 | 8 Pages |
Abstract
This presented research comprises the development of an optimization module for use in a novel production optimization tool - similar in function but not mode of operation to an Advanced Planning System -, with energy efficiency incorporated into its goal system. The optimization features a hybrid-simulation of production systems as an evaluation function. A hybrid simulation has been developed and presented in preceding publications, in order to enable a sufficient consideration of interactions between material flow and the thermal-physical behavior of the production system. The size of the search space for the complex optimization problem necessitates a customized two-phase-optimization method, which is based on a Genetic Algorithm, with the consideration of linear constraints and extended customizations. The results, obtained in a case study featuring a food production facility, show energy savings of around 20 percent together with significant productivity gains.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Thomas Sobottka, Felix Kamhuber, Matthias Rössler, Wilfried Sihn,