Abstract
To capture the dynamics in flexible manufacturing systems and derive appropriate production planning and control (PPC) strategies, simulation has proven to be a promising method. However, many simulation approaches focus on supply chain aspects, discrete production steps or were modeled for specific use cases involving a high degree of complexity. This paper presents an approach to structure manufacturing systems including parametrizable jobs, products and machines. It provides the option to choose from a normal, an energy- or time-efficient PPC strategy either minimizing the required time or energy demand. As a result, improved case-specific PPC strategies can be derived.
| Original language | English |
|---|---|
| Pages (from-to) | 439-444 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 57 |
| DOIs | |
| Publication status | Published - 1 Jan 2016 |
| Externally published | Yes |
| Event | 49th CIRP Conference on Manufacturing Systems, CIRP CMS 2016 - Stuttgart, Germany Duration: 25 May 2016 → 27 May 2016 Conference number: 49 |
Keywords
- Agents
- Energy efficiency
- Production planning and control strategies
- Simulation
- Time effficiency
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Cite this
Kurle, D., Blume, S., Zurawski, T., & Thiede, S. (2016). Simulative Assessment of Agent Based Production Planning and Control Strategies. Procedia CIRP, 57, 439-444. https://doi.org/10.1016/j.procir.2016.11.076