Abstract
Despite great progress in the academic study of production planning and control (PPC), current PPC systems still fail to fully meet industry's needs. The approach presented here aims at a more functional and user-friendly PPC by conceptualising a novel idea that leverages the potentials of biomimetic algorithms. The proposed architecture consists of four core modules: order release module, digital shadow, event detection and processing, and decision-making module. Their interactions provide the functionality of the system while emphasising the workers' key role in the socio-technical PPC system. Requirements for the implementation of the architecture as well as starting points for future research are identified along with the concept.
Original language | English |
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Pages (from-to) | 674-679 |
Number of pages | 6 |
Journal | Procedia CIRP |
Volume | 99 |
DOIs | |
State | Published - 2021 |
Event | 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2020 - Naples, Italy Duration: 15 Jul 2020 → 17 Jul 2020 |
Keywords
- Biomimetic algorithms
- Control
- Production planning