Comparative analysis of order allocation methods and intelligent systems for effective download of production capacities of manufacturing enterprise
| Autor: | V. N. Kruglov, S. N. Medvedev, Konstantin Aksyonov |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
PRODUCTION PLANNING SYSTEMS
History Order allocation MANUFACTURE Download Computer science Intelligent decision support system AUTOMATION AVAILABLE CAPACITY PLANNING SYSTEMS COMPARATIVE ANALYSIS Manufacturing engineering Computer Science Applications Education AUTOMATED SYSTEMS MULTI AGENT SYSTEMS MANUFACTURING ENTERPRISE PRODUCTION CAPACITY Production (economics) MULTI-AGENT APPROACH INTELLIGENT SYSTEMS PRODUCTION CONTROL |
| Zdroj: | Journal of Physics: Conference Series |
| Popis: | The article compares the planning systems of the enterprise, determines their opportunities to use simulation for the process of distribution of production orders. A comparative review of the methods used in production planning systems and the multi-agent approach in solving the problem of the allocation of production orders is carried out. The possibility of approaches in cases when it is impossible to perform production tasks within the established time frame is considered, as well as to effectively load the available capacities of the units. In case it is not possible to produce the necessary quantity to distribute the part to another, similar to the type of equipment used, but different from it by the quantity and production capacity of the unit. Transmission must be carried out under the condition of sufficient capacity in the subdivision. The results of theoretical and experimental studies are presented. In the process of work, we used the BPsim. MAS dynamic modeling system. An automated system with the possibility of using simulation for the allocation of production orders is considered. © 2019 IOP Publishing Ltd. All rights reserved. The work was supported by Act 211 Government of the Russian Federation, contract № 02.A03.21.0006. |
| Databáze: | OpenAIRE |
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