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Smart production systems: automating decision-making in manufacturing environment
- Smart production systems: automating decision-making in manufacturing environment
- Alavian, Pooya; Eun, Yongsoon; Meerkov, Semyon M.; Zhang, Liang
- DGIST Authors
- Eun, Yongsoon
- Issue Date
- International Journal of Production Research
- Article Type
- Article in press
- Author Keyword
- production systems; smart manufacturing; industry 4.0; continuous improvement; automation of decisionmaking
- Decision making; Industry 4.0; Productivity; Continuous improvement project; Continuous improvements; Large-volume manufacturing; Manufacturing environments; Manufacturing organisations; Production system; Productivity improvements; Smart manufacturing; Manufacture
- Smart production systems (SPS) are manufacturing systems capable of autonomously diagnosing their health and autonomously designing continuous improvement projects, leading to the desired productivity improvement. The main component of SPS, developed in this paper, is the Programmable Manufacturing Advisor (PMA), which evaluates the system's health and calculates optimal steps for continuous improvement. The analytics of PMA are based on the theory of Production Systems Engineering (PSE); the numerics of PMA are based on PSE Toolbox, which implements the PSE methods. In this paper, the PMA-based SPS architecture with manager-in-the-loop is described, theoretical/analytical foundations of PMA are outlined, its software/hardware implementations are commented upon, and demonstrations of PMA-based SPS operation are provided using two production systems: automotive underbody assembly (large volume manufacturing) and hot-dip galvanisation plant (small manufacturing organisation). © 2019 Informa UK Limited, trading as Taylor & Francis Group.
- Taylor & Francis
- Related Researcher
DSC Lab(Dynamic Systems and Control Laboratory)
Resilient control systems; Control systems with nonlinear sensors and actuators; Quasi-linear control systems; Intelligent transportation systems; Networked control systems
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