Results started applying Simulation Modelling - Standalone or integrated with Lean Six Sigma

Our simulation modelling methodology enables decision makers to reduce costs, increase system capacity, accelerate cycle time and improve customer service.

 

Simulation modelling applied by Mr. Tekin Cetinkaya who has joined our team recently can be used as a separate tool or in conjunction with Lean Six Sigma. Tekin has been applying simulation modelling for many years in USA, Turkey and other countries.

 

To read more on examples of real life projects run by Mr. Tekin Cetinkaya, click.

 

Within the analyze and improve stages of the DMAIC methodology, or the analyze and design stages of the DMADV methodology, simulation is a powerful software tool because of the following value and benefits it provides:

  • Simulation takes into account process variances, uncertainties and interdependencies
  • Simulation can test many alternative solutions quickly and easily
  • Models can be developed with little risk and no disruption to existing processes
  • Simulation takes the subjectivity and emotion out of decision making
  • Animation features make simulation a good tool to help sell others on the best solutions
  • Reusable models encourage continuous improvement
  • Impact on upstream or downstream customers/operations/processes can be considered

 

Simulation modelling helps in:

 

  •  Supporting lean and/or six sigma projects
  • What-if analysis
  • Reengineering projects
  • Transportation system design
  • Logistics support analysis
  • Supply chain optimization
  • Evaluating new equipment and processes
  • Improving sales and operations planning
  • Capacity analysis and improvement
  • Identifying and minimizing bottlenecks and constraints
  • Resource allocation and cost reduction
  • Reducing inventory
  • Warehouse optimization
  • Cycle-time reduction
  • Distribution requirements planning optimization
  • Airport baggage handling and security
  • Event logistics analysis and planning
  • Emergency preparedness

 

Customers apply the simulation modelling based solutions to solve complex applications including:

  • Reducing order-to-cash cycle time
  • Supporting 6 sigma projects
  • Accelerating new product development
  • Adding advanced analytical capabilities to ERP systems
  • Optimizing supply chain and logistics networks
  • Improving customer service with lower cost
  • Optimally designing call centers
  • Feasibility analysis