Plant
Simulation

What is Plant Simulation?

Siemens Plant Simulation is a powerful software tool developed for modelling, simulation, analysis, visualisation and optimisation of production systems and logistics processes. It is part of the Siemens software portfolio and is specially designed for companies that want to make their production processes more efficient and minimise costs.

Plant Simulation from Siemens is an indispensable tool for companies that want to make their production and logistics processes more efficient and future-proof. With its wide range of functions, it enables well-founded, data-driven decisions and promotes long-term competitiveness.

At the same time, blue automation GmbH is an experienced provider of automation solutions that also specialises in the creation of simulations and digital twins. As a Siemens Solution Partner, we have extensive expertise in the use of software and the necessary process experience thanks to our many years of collaboration with our customers on site.

Advantages at a glance

• Cost reduction: Companies can save costs by optimising processes at an early stage.
  Time savings: Simulation makes it possible to quickly run through various scenarios without affecting real systems.
  Increased productivity: Bottlenecks and inefficiencies are recognised and can be eliminated through well-founded findings.
  Flexibility: Adaptation and expansion of models as required.

The phases of a simulation study

1. Preparation

• Decision: Is the task worth simulating?
• Formulate task and objective
• Estimate effort
• Data: determine, prepare, harmonise
• Analytical rough estimate
• Create and verify simulation model

2. Realisation

• Plan simulation experiments
• Carry out simulation experiments
• Validate simulation experiments

3. Evaluation

• Preparation of results
• Interpretation of results
• Documentation

An overview of the six most important options and functions:

1. Modelling of complex systems

Plant Simulation makes it possible to create a discrete process simulation of production and logistics systems using abstract model modules. The software uses object-oriented, hierarchical modelling approaches for this, allowing processes and systems to be mapped flexibly. Using libraries with standard modules such as machines, conveyor technology, buffers and means of transport, complex systems can be modelled easily and precisely.

2. Simulation of scenarios

Simulation enables real production systems to be modelled virtually and tested in various scenarios. Users can identify and optimise potential bottlenecks, resource overloads or inefficient processes at an early stage. Various types of simulation, such as discrete event simulation and continuous simulation, are available.

3. Optimisation of resource utilisation

Plant Simulation enables companies to optimise the use of resources such as machines, materials and personnel. This is made possible by analysis and optimisation functions such as automatic layout optimisation and material flow optimisation. The aim is to minimise waste, maximise productivity and reduce operating costs.

4. Analysis and visualisation

The software offers extensive analysis tools that can be used to calculate and visualise key figures such as throughput, utilisation and cycle times. Users can identify bottlenecks, compare key performance indicators and make data-based decisions. 3D visualisations also enable a realistic representation of production systems and promote an understanding of complex interrelationships.

5. Scenario management and experiments

Plant Simulation supports the creation and management of multiple scenarios so that ‘what-if’ analyses can be carried out. Users can test different strategies, e.g. different production plans, to make the best decisions for their specific challenges.

6. Energy consumption analysis

In addition to optimising production processes, Plant Simulation also allows the energy consumption of plants and processes to be analysed. This enables companies to develop more sustainable and energy-efficient production systems.