The Multi-agent Method for Real Time Production Resource-Scheduling Problem

  • Alexander LadaEmail author
  • Sergey Smirnov
Conference paper
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 199)


An operational scheduling method of production resources for enterprises has been analyzed and is being proposed. In order to assemble a client’s order, it is necessary to produce each detail by making the number of technological operations via an appropriate production resource. For scheduling and managing the production process, it is necessary to define the whole structure of the final assembly with a technology map. This representation is proposed by using a special ontological definition, and give the example for an enterprise producing electrical products. The process of scheduling has a high level of complexity due to the variety of types of resources used, and the dependence of production processes on many factors and conditions. Also considered real time events and each time getting information about a new fact of processing of each detail on each resource, the current production plan has to be rescheduled. Traditional methods for solving the problem are not possible using in real time scheduling, which is why it is proposed the multi-agent approach for that task. The developed system based on the proposed method is used by the real enterprise produces electrical products in Samara city, where, as a result, the number of delays in the execution of production orders was reduced by 10%.


Multi-agent methods Production resource management Ontology of the production enterprise Real-time scheduling 



The paper has been prepared based on the materials of scientific research within the subsidized state theme of the Institute for Control of Complex Systems of the Russian Academy of Sciences for research and development on the topic: «Research and development of methods and means of analytical design, computer-based knowledge representation, computational algorithms and multi-agent technology in problems of optimizing management processes in complex systems».


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Institute for the Control of Complex Systems of Russian Academy of SciencesSamaraRussia
  2. 2.SEC Smart Transport SystemsSamaraRussia

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