A new method for autonomous control of complex job shops – Integrating order release, sequencing and capacity control to meet due dates
| Autor: | Michael Freitag, Sebastian Grundstein, Bernd Scholz-Reiter |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Engineering 021103 operations research Industry 4.0 Job shop business.industry media_common.quotation_subject Control (management) 0211 other engineering and technologies 02 engineering and technology Industrial and Manufacturing Engineering Manufacturing engineering Field (computer science) Interdependence 020901 industrial engineering & automation Hardware and Architecture Control and Systems Engineering Production control Production (economics) Relevance (information retrieval) business Software media_common |
| Zdroj: | Journal of Manufacturing Systems. 42:11-28 |
| ISSN: | 0278-6125 |
| DOI: | 10.1016/j.jmsy.2016.10.006 |
| Popis: | Due to the development of Cyber-Physical Production Systems, autonomous control of manufacturing processes is of increasing significance. Particularly, these manufacturing control approaches have considerable potential in job shop manufacturing. However, research in this field tends to focus on subtasks of manufacturing control without considering the interdependencies. This article presents the autonomous production control method (APC), which integrates all control tasks – order release, sequencing and capacity control – to meet due dates. The APC is benchmarked with established method combinations using event-discrete simulation. The results demonstrate the potential of our method to meet due dates and emphasise the method’s relevance for practical applications. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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