Dynamic domain-specific simulation system for discrete manufacturing facilities of Agat

Development and implementation of dynamic domain-specific simulation system for discrete manufacturing facilities of Agat

Agat

Development and implementation of dynamic domain-specific simulation system for discrete manufacturing facilities of Agat – a part of Russian aerospace industry. The system is used by the team of internal consultants to check feasibility of production schedules, validate CAPEX initiatives as well as high-level allocation of production orders.

Industry sector: Manufacturing
Client: Agat

Project objective

Development of the dynamic simulation modeling tool for a large-scale discrete manufacturing plant. The system is used to test production plan feasibility considering limited resources availability, complex BOMs and other constraints and interdependencies. The system was also used for justification of investments in the modernization of production capacities and for scenario analysis of cooperation options between enterprises of a holding company.

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Description

Our scope of work

  • Task definition and the system concept development
  • Development of the system based on the Amalgama platform and our PlantTwin solution
  • Testing and verification of the dynamic simulation model
  • Development of the user’s manual and the developer’s manual
  • Technical and methodological support of the client’s team

System inputs

  • Production plan
  • Product structure – BOMs and production routes
  • Production capacities information – work centers, their performance, schedule etc.

System structure elements

  • Scenario editor
  • Scheduler with presentation of scheduling results
  • Simulation model with interactive presentation
  • Batch launch mode for scenario analysis and Monte-Carlo experiments

System model outputs

  • Detailed operation-wise production schedule
  • Inventory dynamics of purchased materials, finished goods and subassemblies
  • Key financial indicators of the plant

Project result

System of dynamic modelling which allows to check production plan feasibility, estimate effectiveness of operational and technological improvements, estimate financial indicators of business, and perform scenario analysis.

Discrete-production simulation models are widely used to support decision-making

Simulation models of discrete manufacturing allow making decisions on operational improvements, forecasting an enterprise operation in accordance with changes in order structure and planning fixed assets investments on a reasonable basis