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Smart production systems: automating decision-making in manufacturing environment

Title
Smart production systems: automating decision-making in manufacturing environment
Authors
Alavian, PooyaEun, YongsoonMeerkov, Semyon M.Zhang, Liang
DGIST Authors
Eun, Yongsoon
Issue Date
ACCEPT
Citation
International Journal of Production Research
Type
Article
Article Type
Article in press
Author Keyword
production systems; smart manufacturing; industry 4.0; continuous improvement; automation of decisionmaking
Keyword
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
ISSN
0020-7543
Abstract
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.
URI
http://hdl.handle.net/20.500.11750/9833
DOI
10.1080/00207543.2019.1600765
Publisher
Taylor & Francis
Related Researcher
  • Author Eun, Yongsoon DSC Lab(Dynamic Systems and Control Laboratory)
  • Research Interests Resilient control systems; Control systems with nonlinear sensors and actuators; Quasi-linear control systems; Intelligent transportation systems; Networked control systems
Files:
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Collection:
Department of Information and Communication EngineeringDSC Lab(Dynamic Systems and Control Laboratory)1. Journal Articles


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