Adaptive planning and control in cyber-physical production systems

• Κύριος συγγραφέας: Νικολάκης, Νικόλαος
• Άλλοι συγγραφείς: Nikolakis, Nikolaos
• Γλώσσα: Greek
• Έκδοση: 2020
• Θέματα: Adaptive planning; Control; Cyber-physical production systems; Προσαρμοστικός σχεδιασμός; Έλεγχος; Κυβερνο-φυσικά συστήματα παραγωγής

The objective of this work is the study of the production systems under the scope of cyber-physical production systems (CPPSs) and in terms of enabling their reconfiguration towards increased automation and flexibility to volatile working conditions as well as market demands. Towards that end, methods corresponding to different layers of the ISA95 automation pyramid, mapped to the layers of the 5C architecture for cyber-physical systems, have been connected integrating different layers of the architecture and tested in the under investigation CPPSs. First, the dynamic closed-loop control of a CPPS has been studied for enabling and controlling safe human-robot collaborative assembly operations. An initial implementation is evaluated in a specific use case and its results are compared regarding the use of one or more sensors. The comparison is performed in terms of system response time to detect human presence within a predefined safety zone. Afterwards and considering the manual assembly operations, their adaptive planning and reconfiguration of the assembly station are discussed. The implementation of the digital-twin approach is presented to digitally close the loop between physical and virtual system thus enabling a cost-effective improvement of the planning, commissioning as well as the entire lifecycle of human-based production processes. A case study from the warehouse, intra-factory logistics operation, in the white goods industry, demonstrates the feasibility of the proposed approach. Also, as part of the third case study, a holistic framework for reconfigurable cyber-physical production systems is discussed, enabled by container technologies. The presented approach enhances flexibility in a cyber-physical production system (CPPS) through the dynamic reconfiguration of the automation system and the production schedule, based on occurring events. The proposed solution has been implemented on a software framework and applied in a small scale CPPS coming from the automotive industry. Finally, the contribution of the integration 5C layers for the implementation, deployment, and reconfiguration of CPPS functionalities converting conventional manufacturing processes to smart ones has been assessed via a set of CPPS indicators in terms of contribution to their automation level.