Selection of equipment modules for a flexible modular production plant by a multi-objective evolutionary algorithm
| Autor: | Gerhard Schembecker, Christian Becker, Christian Bramsiepe, Matthias Schröder, Heiko Radatz |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry 020209 energy General Chemical Engineering Evolutionary algorithm Window (computing) 02 engineering and technology Modular design Investment (macroeconomics) Computer Science Applications Reliability engineering 020401 chemical engineering Work (electrical) 0202 electrical engineering electronic engineering information engineering Production (economics) 0204 chemical engineering business Realization (systems) Selection (genetic algorithm) |
| Zdroj: | Computers & Chemical Engineering. 123:196-221 |
| ISSN: | 0098-1354 |
| DOI: | 10.1016/j.compchemeng.2018.12.009 |
| Popis: | In this work an approach to select equipment modules for a flexible modular production plant at low investment costs using a multi-objective evolutionary algorithm is introduced. Thereby, a good determination of the plant`s overall operating window is of utmost importance. A styrene production plant serves as case study to evaluate the equipment module selection approach, to analyze the resulting compromise solutions as well as the flexible modular equipment sets with low investment costs. It is for example possible to achieve an 11-fold enlarged operating window for 50% higher investment costs compared to the conventional design. Thus, this work presents an important step towards the realization of modular production plants. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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