Simulation and Digital Twin

Predictive analytics based on simulation minimizes the margin of error in new investments, improvement projects, and planning decisions, and provides time and cost savings. By simulating your processes in a digital environment, you can predict potential risks and benefits before implementing your decisions. You can plan your daily flow with simulation models and have the strategy to provide the highest efficiency with scenario trials. Thanks to systems that can be configured on the cloud, you can access your models anywhere and at any time to make quick decisions. Building the right simulation and digital twin infrastructure will bring you the following benefits:

Mathematical Models Based on Processes: By simulating systems that are difficult to manage in facilities, such as machines, equipment, workstations, operators, material/finished goods storage areas, and material handling equipment, which make up a large part of your costs, you can design your facilities to operate at the highest efficiency.

Continuous Improvement and "KPI" Tracking: You can test the commissioning of new product groups, technologies, machinery/equipment, efficiency improvement studies, or decisions to open new facilities with simulation models, and you can track the performance indicators that play a key role.

Scenario Testing in Seconds: You can create scenarios for the future according to different conditions and analyze the outputs with our visualization tool. With the system that is installed on the cloud with serverless, the most complex mathematical models give results in seconds, allowing you to test scenarios quickly. Thanks to the simulated scenarios, you gain foresight against risks and you can determine the most accurate strategy for your operations.

Our customers who use Dijitalis methods and tools generally have achieved the following benefits:

  • Savings are made in storage, transportation, and inventory holding costs by keeping the right amount of inventory in the right methods and in the right locations.
  • It provides better insights and confidence in the decision-making phase, and understanding the demands supports the decisions to be made analytically and allows us to make stronger/more sensitive decisions.
  • Product-warehouse location assignments and material handling equipment usage decisions are improved, reducing product preparation and delivery times.
  • By designing equipment selection and job assignment strategy, you handle more products with less handling equipment.
  • You get high accuracy lead times for your orders and minimize potential delays, preventing delay costs.
  • By increasing your labor productivity, you provide higher output at a lower cost.
  • By detecting bottlenecks, you direct your improvement efforts and increase the benefits provided.
  • By improving your maintenance and installation processes, you get machines/equipment that operate at higher efficiency.
  • You plan the personnel needs and operational activities that will meet the demand according to seasonal demand changes in advance.
  • The material logistics footprint inside the facility is extracted and the points that may pose a risk to occupational safety are detected, and the facility designs that will reduce the risk are put into operation.

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