A Multi-Agent Platform Design for Adaptive Networks of Intelligent Production Schedulers

Andreev, Michael; Ivaschenko, Anton; Skobelev, Petr; Tsarev, Alexander

doi:10.3182/20100701-2-pt-4011.00015

Cited by 10 publications

(4 citation statements)

References 6 publications

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“…In addition, studies of the use of multi-agent technologies show high adaptability of systems [7] and the effectiveness of results in the following areas [8]: planning logistics operations (sea tankers, taxis, freight, trains); car rental planning; analysis of Big Data; understanding the semantics of natural language text; designing complex products; supply chain planning; satellite constellation planning; management of mobile teams; R&D project management and others.…”

Section: Using a Multi-agent Approach To Solve The Taskmentioning

confidence: 99%

Data Processing Models and Algorithms for Outsourcing of Resources in the Production Scheduling Task

Rizvanov¹,

Chernyshev²

2020

Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)

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Production scheduling is often used to improve the efficiency of an enterprise. The task of production processes scheduling of an aircraft engine enterprise is considered in this article. Aircraft engine consists of a large number of different parts and assemblies (more than 100,000) that are manufactured in several production areas of various specializations. It is necessary to plan the work of the workshops so that the parts are manufactured by the same time to ensure assembly. Various abnormal situations often occur during the production process at the enterprise. These situations, together with the incorrect distribution of parts between workshops, can make a significant imbalance in the production of the final product. The solution to the problem of balancing the production plan of the workshop is possible using the model of inter-site outsourcing. The models and data processing algorithms based on multi-agent approach are proposed to solve the production scheduling problem with inter-site outsourcing.

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Section: Using a Multi-agent Approach To Solve The Taskmentioning

confidence: 99%

Data Processing Models and Algorithms for Outsourcing of Resources in the Production Scheduling Task

Rizvanov¹,

Chernyshev²

2020

Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)

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“…The authors developed a simulation engine to simulate operations based on input information extracted from sensor data, and used the simulation results to study different plowing operations scenarios. Other applications can be found also in different research fields, for example in ship-design (Marík et al 2005), supply chain design (Himoff et al 2005), and electronics (Andreev et al 2010).…”

Section: Applicationsmentioning

confidence: 99%

Real-Time Simulation in Manufacturing Systems: Challenges and Research Directions

Lugaresi

Matta

2018

2018 Winter Simulation Conference (WSC)

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In the last years, the increase of data availability together with enhanced resource flexibility shed light on the possibility to develop planning and control methods with real-time inputs. Literature is rich of approaches to simulate, to quickly evaluate system performances, and to take decisions based on optimization criteria. Further, simulation has been identified as one of the pillars for the Industry 4.0 revolution. However, the lack of a generally recognized approach and methodology to deal with real-time decision-making through simulation is evident. Simulation approaches can and should play a central role in industry for the years to come. This position paper analyses the current research context with a brief state of the art on existing approaches, includes considerations about the issues for implementing Real-Time Simulation (RTS) concepts and their current state of development. Finally, it outlines research directions for the simulation community.

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“…Multi-agent system for planning and scheduling of selected functionality of air-catering services is presented in [8]. Andreev et al [9] present the agent-based system for realtime scheduling and optimization of workshop resources deployed at Axion-Holding Izhevsk factory producing electronics.…”

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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A Multi-Agent Platform Design for Adaptive Networks of Intelligent Production Schedulers

Cited by 10 publications

References 6 publications

Data Processing Models and Algorithms for Outsourcing of Resources in the Production Scheduling Task

Data Processing Models and Algorithms for Outsourcing of Resources in the Production Scheduling Task

Real-Time Simulation in Manufacturing Systems: Challenges and Research Directions

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

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