Pheromone based emergent shop floor control system for flexible flow shops

Peeters, Patrick; Brussel, Hendrik Van; Valckenaers, Paul; Wyns, Jozef; Bongaerts, Luc; Kollingbaum, Martin J.; Heikkilä, Tapio

doi:10.1016/s0954-1810(01)00026-7

Cited by 56 publications

(27 citation statements)

References 7 publications

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“…Self-organization is carried out by reorganizing its structure through modification of the relationships among entities without external intervention. Transferring this principle to manufacturing systems considered as a community of autonomous and cooperative entities, self-organization is carried out by locally matching between machine capabilities and product requirements [44][45][46][47][48][49]. Each machine has a pheromone value for a specific operation.…”

Section: Swarm Intelligencementioning

confidence: 99%

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An autonomous manufacturing system based on swarm of cognitive agents

Park

Tran

2012

Journal of Manufacturing Systems

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Section: Swarm Intelligencementioning

confidence: 99%

“…Otherwise, the pheromone value equals zero. The formulation for calculating the pheromone value was designed in consideration of the executing ability, processing time and machining cost [44,46,48]. It is shown as follows:…”

Section: Swarm Intelligencementioning

confidence: 99%

An autonomous manufacturing system based on swarm of cognitive agents

Park

Tran

2012

Journal of Manufacturing Systems

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“…The design of efficient layouts and routing schemes for industrial shop floors is a well researched subject that has both practical value as well as substantial theoretical background with a broad scope (apart from solving general problems using classical approaches [18], efforts have been made to also find adaptive solutions using e.g., stochastic methods [19] and soft-computing based methods [20]). Nevertheless, many of these approaches are inaccessible to the client that wishes to establish a new shop floor (e.g., leadership of a company).…”

Section: Complex Scenariomentioning

confidence: 99%

VirCA NET and CogInfoCom: Novel challenges in future internet based augmented/Virtual Collaboration

Weidig

Csapó

Aurich

et al. 2012

2012 IEEE 3rd International Conference on Cognitive Infocommunications (CogInfoCom)

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Abstract-Severalchallenges can arise during augmented/virtual collaboration. In this paper, we identify and classify some of these challenges from a cognitive infocommunications (CogInfoCom) point of view. The starting point of our analysis is the VirCA NET application, which was built on the Virtual Collaboration Arena (VirCA) and developed at the MTA SZTAKI. First, we demonstrate how VirCA and VirCA NET belong to the CogInfoCom paradigm and how they are also related to Future Internet. To highlight our ideas in a practical use-case, we identify key features of infocommunication in a collaborative scenario for building industrial production layouts. In the collaborative scenario, factory planning is defined as a multi-stakeholder and multi-domain challenge, which distributed planning teams have to face. Based on the features of VirCA NET and the specifics of the scenario, we outline a list of challenges, some of which are already solved by the system to some extent, and some of which remain to be solved in future work. The challenges are presented in relation to the theoretical background of CogInfoCom engines and CogInfoCom channels, in order to further strengthen the link between augmented/virtual collaboration and the goals of CogInfoCom.

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“…Transferring this principle to the manufacturing system considered as a community of autonomous and cooperative entities, the manufacturing system adapts to changes by locally matching between machine capabilities and product requirements. Each machine has a pheromone value for overcoming a specific disturbance type, and the machine with the highest pheromone value is chosen for disturbance handling (Peeters et al, 2001;Leitao, 2008).…”

Section: Ant Colony Techniquementioning

confidence: 99%