DocumentCode :
1792690
Title :
Modelling and orchestration of service-based manufacturing systems via skills
Author :
Pfrommer, Julius ; Stogl, Denis ; Aleksandrov, Kiril ; Schubert, Viktor ; Hein, Bjorn
Author_Institution :
Fraunhofer Inst. of Optronics, Syst. Technol. & Image Exploitation, Karlsruhe, Germany
fYear :
2014
fDate :
16-19 Sept. 2014
Firstpage :
1
Lastpage :
4
Abstract :
Shortening product lifecycles and small lot sizes require manufacturing systems to adapt increasingly fast. Many existing machine tools, handling and logistics systems are already generic and not bound to a specific product a-priori. Yet this flexibility and reconfigurability on the asset level is lost in automated systems that are limited to executing a small set of predefined actions in a fixed sequence. The SkillPro1 project aims to develop a holistic service-oriented framework for modelling and orchestration of modern adaptable manufacturing systems. The core concept is a unified abstraction for manufacturing tasks: skills provided by the available assets and the requirements of the different production steps. The skill-based system model enables the transition from generic high-level descriptions to low-level formats that can be directly executed. Self-describing assets can be added, changed and removed at runtime, taking into account technical and economic conditions to best achieve the manufacturing goals.
Keywords :
asset management; manufacturing systems; service-oriented architecture; SkillPro project; asset level; automated systems; economic conditions; generic high-level descriptions; lot sizes; low-level formats; manufacturing goals; manufacturing tasks; product lifecycles; production step requirements; self-describing assets; service-based manufacturing system modelling; service-based manufacturing system orchestration; service-oriented framework; skill-based system model; technical conditions; unified abstraction; Manufacturing systems; Planning; Robots; Runtime;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technology and Factory Automation (ETFA), 2014 IEEE
Conference_Location :
Barcelona
Type :
conf
DOI :
10.1109/ETFA.2014.7005285
Filename :
7005285
Link To Document :
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