Production Simulation

Instead monitoring of the dynamic behaviour of the specific object and observation of its reactions for organizational and technical changes we observe beahaviour of its model. With this approach we can create models of not yet existing systems and already during the designing process we ensure that the behaviour of the designed system will exactly corresponds to our ideas or expectations.

Results from simulation are used for the elaboration of the offer, when a production system is designed with reference to demands: capacitive (number of products/unit of time, i.e. production rate), technological (number of workstations or handling equipment), economical (purchase and operational costs), ecological (optimal operational times), service (number of operators).

Simulation helps in finding of narrow (bottleneck analysis) or collision points, utilization of individual machines (resources). Animation of simulated process helps people - with a power to take decisions - let know in advance possible statuses of the production system and in time and suitable way react by modificating the technical solution.

We have developed a multi-purpose simulation model, that helps with designing of a transport system as a discrete system with a chronological sequence of events. The project was carried out in terms of the programme ICT and strategic services – Call I, Development and implementation of a multi-purpose simulation model.

The offer of services in the sphere of simulation, modelling and optimization of production systems is linked to above mentioned project.




Name of the Programme: ICT a strategic services – Call I
Registration Number: 2.2 ITS01/029
Project Name: Development and implementation of a multi-purpose simulation model


By means of simulation is discovered:

  • productivity of the system
  • capability to realize the job order in time, time for finish certain number of products
  • utilization of resources (machine, equipment etc.) and personnel
  • requirements for supplies and stores
  • determination of optimal store size (buffer stock size)
  • determination of optimal size of a production batch
  • modelling of inspection processes and repairs
  • modelling and optimization of a production batch flow

Systems for material hangling:

  • modelling of system with a belt conveyour
  • modelling of system with autoamatically controlled vehicles
  • modelling of system with transport units, cranes, etc.

Decision-making process and risk analysis:

  • modelling of a decision tree and networks
  • decision tree model for a new product implementation, simulation analysis of a new product implementation, risk assessment

Project planning:

  • probability characteristics of required time and money, statistic data acquisition of starting times for individual activities
  • critical path, critical activities
  • faults (deficits) and their rectification
  • simulaciton of decision logic in projects
  • project planning with risk and indeterminateness examination, project planning
  • latest starting time, latest end time
  • simulation approach for project activities allocation, project planning with limited resources

Inventory Management:

  • prices of reserves and system efficiency, when to order and how much
  • modelling of the mode of the inventory control
  • utilization of the simulation for improvement in the inventory control

Reliability, Quality Cotrol and Equipment Renewing:

  • modelling of the quality control planning
  • stochastic analysis of equipment renewing, safety systém analysis

Ligistic system analysis:

  • logistic process, reliability, maintenance and maintenance planning, transport activities, personnel training, equipment testing