Using process-mining for understating the emergence of self-organizing manufacturing systems.-Reference-Cited by-同舟云学术

Using process-mining for understating the emergence of self-organizing manufacturing systems.

Published:2018 Issue:11 Volume:51 Page:1618-1623
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Jimenez Jose-Fernando,Zambrano-Rey Gabriel,Aguirre Santiago,Trentesaux Damien

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference26 articles.

1. Barbosa, J., & Leitao, P. (2010). Modelling and simulating self-organizing agent-based manufacturing systems. In IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society. 2702–2707

2. Dynamic self-organization in holonic multi-agent manufacturing systems: The ADACOR evolution;Barbosa;Computers in Industry,2015

3. Applying Process Mining to Interaction Analysis of Petri Net- Based Multi-Agent Models;Cabac,2006

4. Cabac, Lawrence, Nicolas Knaak, Daniel Moldt, and Heiko Rölke. 2006. “Analysis of Multi-Agent Interactions with Process Mining Techniques.” In Multiagent System Technologies, 12–23.

5. Using online simulation in Holonic manufacturing systems;Cardin;Engineering Applications of Artificial Intelligence,2009

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