The challenges in service innovation and healthcare sector are to provide new, extensive, custom-made, and seamless services to an increased number of patients at any time and at lower cost than before. Traditional models are not capable to grasp the opportunity of a better use of the resources while delivering excellent service to patients.

Simulation and math optimization
Math optimization techniques applied to decisional processes coupled with events' simulation techniques are capable to deliver an optimal management of resources (e.g. lean management, six sigma).
With simulation you can see the execution of your new projects idea (e.g., of an hospital, a laboratory, a department, a booking office) before their implementation.

Segments

• Simulation
  
• Assessment of potential savings with new management techniques (e.g., lean and six sigma)
  
• Risk assessment in special situations (e.g., emergency)
  
• Occupancy rate (use of beds) forecasting
  
• Service congestion assessment (e.g. admissions increase)
  
• Layout optimization
  
• Operations scheduling constrained by surgery room space
  
• Waiting rooms' scaling
  
• Ambulatories patients flows forecasting
  
• Examination scheduling (e.g., by patients profile)
  
• Emergency procedures testing
  
• Multi criteria decision support for new equipments investments.

ACT Solutions' references
At ACT Solutions we have been working with top performing players in the Healthcare segment through direct and indirect engagements providing customers with proprietary and third parties technologies.

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ACT Solutions products portfolio

• ARENA and SIMIO: the world's leading simulation software applications.
  
• BEFORE is the ACT Solutions' proprietary statistical tool for demand forecasting and revenue management.

The offering includes SAS' powerful analytical and statistical tools which can be integrated with ACT Solutions' optimization and forecasting engines.
ACT Solutions provides customers with specialist support by building bespoke simulation models and implementing the most modern math optimization algorithms.