(Self-)adaptiveness for manufacturing systems: challenges and approaches
| Autor: | Stephan Unverdorben, Birte Caesar, Florian Grigoleit |
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| Rok vydání: | 2019 |
| Předmět: |
Statement of work
Computational Theory and Mathematics Computer Networks and Communications Hardware and Architecture Computer science Adaptive manufacturing Theory of computation Computer Science (miscellaneous) Control reconfiguration Manufacturing systems Software Manufacturing engineering Information Systems |
| Zdroj: | SICS Software-Intensive Cyber-Physical Systems. 34:191-200 |
| ISSN: | 2524-8529 2524-8510 |
| DOI: | 10.1007/s00450-019-00423-8 |
| Popis: | Shrinking lot sizes and growing product variability demand frequent changes in manufacturing systems. Common manufacturing systems, however, are built for large, invariant lot sizes. (Self-)adaptive manufacturing systems can, on the other hand, react quickly to changes in both function and capabilities. This ability makes them suitable to meet new customer or production requirements. Introducing (self-)adaptiveness in manufacturing requires designing adaptable and flexible systems and anticipating runtime changes at design time. In this article, we describe the engineering of (self-)adaptiveness of manufacturing systems by presenting definitions, significant challenges, and promising solution approaches. We limit the scope of work on designing and realizing such manufacturing systems based on reference architectures, self-organization, and knowledge-based reconfiguration. |
| Databáze: | OpenAIRE |
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