ExPlanTech: Applying multi-agent systems in production planning

Pěchouček, Michal; Říha, Adam; Vokřínek, Jiří; Mařı́k, Vladimı́r; Prazma, Vojtech

doi:10.1080/00207540210140086

Cited by 28 publications

(9 citation statements)

References 10 publications

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“…The ExPlanTech system was deployed for longterm production planning at LIAZ Pattern Shop and for engine assembling workshop scheduling at SKODA Auto [6]. Jacobi at al.…”

Section: Related Workmentioning

confidence: 99%

Unified REST API for supporting the semantic integration in the ESB-based architecture

Harcuba

Vrba

2015

2015 IEEE International Conference on Industrial Technology (ICIT)

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This paper presents the framework for integrating the lightweight clients with the heavyweight Enterprise Service Bus (ESB) messaging system via the HTTP-based RESTful API. A special gateway converts the ESB messages, which content is encoded in RDF according to the OWL ontology to standard HTTP requests with the JSON content and vice versa. Such a solution is developed within the European ARUM project aimed at the optimization of production ramp-up of highly complex and customized products. The framework is used to simplify the integration of user interfaces for production monitoring and scheduling running on a smart phone or in a Web browser with the backbone ESB infrastructure that hosts the core computational components such as schedulers, planners, and optimizers.

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“…The ExPlanTech system was deployed for longterm production planning at LIAZ Pattern Shop and for engine assembling workshop scheduling at SKODA Auto [6]. Jacobi at al.…”

Section: Related Workmentioning

confidence: 99%

Unified REST API for supporting the semantic integration in the ESB-based architecture

Harcuba

Vrba

2015

2015 IEEE International Conference on Industrial Technology (ICIT)

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“…Among the main methodologies used on manufacturing planning, the PROSA methodology by Van Brussel et al [24], the plant automation based on distributed systems (PABADIS) project of Lüder et al [25], or ExPlanTech by the Gerstner Laboratory [26] focus the manufacturing decision making using distributed reasoning systems based on an agent approach as our proposed solution. Other agent-based systems appeared as extensions of the knowledge-oriented methodologies such as: The MAS-Common KADS developed by Iglesias et al that can be found in the book by Singh et al [27] on intelligent agents; or the CoMoMAS proposed by Glaser [28].…”

Section: Introductionmentioning

confidence: 99%

Agent-based decision-making process in airport ground handling management

et al. 2011

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Recent research on highly distributed control methods has produced a series of new philosophies based on negotiation, which bring together the process engineering with computer science. Among these control philosophies, the ones based on Multi-agent Systems (MAS) have become especially relevant to address complex tasks and to support distributed decision making in asset management, manufacturing, and logistics. However, these MAS models have the drawback of an excessive dependence on up-to-date field information. In this work, a theoretical and experimental MAS, called MAS-DUO, is presented to test new strategies for managing handling operations supported by feedback coming from radio frequency identification (RFID) systems. These strategies have been based on a new distributed organization model to enforce the idea of division between physical elements and information and communication technologies (ICT) in the product scheduling control. This division in two platforms simplifies the design, the development, and the validation of the MAS, allowing an abstraction and preserving the independency between platforms. The communication between both platforms is based on sharing the parameters of the Markov reward function. This function is mainly made up of the field information coming from the RFID readers incorporated as the internal beliefs of the agent. The proposed MAS have been deployed on the Ciudad Real Central Airport in Spain in order to dimension the ground handling resources.

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“…The purpose of the study (Pechoucek et al, 2002) is to introduce, customize and exploit the multi-agent production planning technology (ProPlanT multi-agent system research prototype) in two specific industrial enterprises. An agent-driven service negotiations and decision process, based on usage centered knowledge about task requirements, substitutes the traditional production planning activity.…”

Section: P Pawlewskia and K Kluskamentioning

confidence: 99%

Modeling and simulation of bus assem-bling process using DES/ABS approach

Pawlewski

Kluska

2017

ADCAIJ

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This paper presents the results of the project, which goal is to analyze the production process capability after reengineering the assembly process due to expansion of a bus production plant. The verification of the designed work organization for the new configuration of workstations on new production hall is necessary. To solve these problems authors propose a method based on mixing DES (Discrete Event Simulation) and ABS (Agent Based Simulation) approach. DES is using to model the main process -material flow (buses), ABS is using to model assembling operations of teams of workers. One of obtained goal is to build a simulation model, which presents the new assembly line in the factory, taking into ac-count the arrangement of workstations and work teams in the new production hall as well as the transport between workstations.Second goal is to present work organization of work teams and division of individual workers' labor (who belongs to a particular work team and performs operations on buses in a particular workstation) in order to determine the best allocation of tasks and the optimum size of individual work teams. Proposed solution enables to determine the effect of assembly interferences on the work of particular work teams and the efficiency of the whole production system, to define the efficiency of the designed assembly lines and proposing changes aimed at the quality improvement of the created conception.

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ExPlanTech: Applying multi-agent systems in production planning

Cited by 28 publications

References 10 publications

Unified REST API for supporting the semantic integration in the ESB-based architecture

Unified REST API for supporting the semantic integration in the ESB-based architecture

Agent-based decision-making process in airport ground handling management

Modeling and simulation of bus assem-bling process using DES/ABS approach

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