Title :
Adaptive scheduling based on self-organized holonic swarm of schedulers
Author :
Leitao, Paulo ; Barbosa, J.
Author_Institution :
Polytech. Inst. of Braganca, Braganca, Portugal
Abstract :
Scheduling plays an important role in the companies´ competiveness, dealing with complex combinatorial problems subject to uncertainty and emergence. In particular, in the ramp-up phase of small lot-sizes of complex products, scheduling is more demanding, e.g. due to late requests and immature technology products and processes. This paper presents the principles of a distributed scheduling architecture based on holonic and swarm principles and implemented using multi-agent system technology. In particular, it is described the coordination among the network of the swarm of schedulers and analysed the impact of embedded self-organization mechanisms.
Keywords :
adaptive scheduling; multi-agent systems; production engineering computing; software agents; swarm intelligence; adaptive scheduling; distributed scheduling architecture; embedded self-organization mechanisms; multiagent system technology; self-organized holonic swarm; software agents; Conferences; Dynamic scheduling; Job shop scheduling; Manufacturing; Processor scheduling; Schedules;
Conference_Titel :
Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
Conference_Location :
Istanbul
DOI :
10.1109/ISIE.2014.6864872