Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/75508
Title: Comparative analysis of order allocation methods and intelligent systems for effective download of production capacities of manufacturing enterprise
Authors: Medvedev, S. N.
Aksyonov, K. A.
Kruglov, V. N.
Issue Date: 2019
Publisher: Institute of Physics Publishing
Citation: Medvedev S. N. Comparative analysis of order allocation methods and intelligent systems for effective download of production capacities of manufacturing enterprise / S. N. Medvedev, K. A. Aksyonov, V. N. Kruglov // Journal of Physics: Conference Series. — 2019. — Vol. 1210. — Iss. 1. — 12094.
Abstract: 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.
Keywords: AUTOMATION
INTELLIGENT SYSTEMS
MANUFACTURE
PRODUCTION CONTROL
AUTOMATED SYSTEMS
AVAILABLE CAPACITY
COMPARATIVE ANALYSIS
MANUFACTURING ENTERPRISE
MULTI-AGENT APPROACH
PLANNING SYSTEMS
PRODUCTION CAPACITY
PRODUCTION PLANNING SYSTEMS
MULTI AGENT SYSTEMS
URI: http://hdl.handle.net/10995/75508
Access: info:eu-repo/semantics/openAccess
Conference name: 12th International Scientific and Technical Conference on Applied Mechanics and Systems Dynamics, AMSD 2018
Conference date: 13 November 2018 through 15 November 2018
SCOPUS ID: 85065977076
WOS ID: 000481604500094
PURE ID: 9811996
ISSN: 1742-6588
DOI: 10.1088/1742-6596/1210/1/012094
metadata.dc.description.sponsorship: The work was supported by Act 211 Government of the Russian Federation, contract № 02.A03.21.0006.
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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