Welcome to AAI's monthly Innovations, where we share with you the best practices in simulation engineering through case studies and industry experience. In this month's issue, we focus on how simulation can be used to create a virtual machine to test equipment design and verify performance - in this case for an automated analyzer machine for hospital clinical laboratories.

Predicting Accurate Throughput for Laboratory Analyzers

Faced with increasing demand for quality healthcare and spiraling costs, healthcare providers are seeking more efficient procedures, technologies and products to keep pace with the market. Faster, cheaper and better solutions will be key to succeeding in an evolving industry, thereby forcing equipment manufacturers to also enhance the sophistication of their products.

Simulation modeling gives service providers, such as clinics and hospitals, the tools to better forecast and manage their laboratory workload and schedule. It also provides equipment designers and manufacturers with a precise way to analyze and predict accurate throughput for machine and control designs. As a result, manufacturers can confidently predict service times for customer-specific diagnostic requirements.

Diagnostic test machines, in particular, have rapidly evolved to help meet the needs of the healthcare industry. Simulation modeling enables designers to develop a flexible 'virtual machine' model and use it to test a variety of proposed mechanical and control schemes without having to painstakingly construct, program and test each variation. One of the biggest advantages of a simulation model lies in its ability to test proposed scheduling algorithms - the logical rules that determine when and how many tests can be started and run concurrently while insuring that the critical time constraints for analyzing the reaction results for each diagnostic test initiated would be met in all cases.

In this month's case study we report on how Beckman Coulter, one of the premier providers of diagnostic machines, has used AAI's simulation modeling to test and resolve design issues for their laboratory analysis machines. The result was an optimized machine design and the ability to accurately predict test throughput for each specific client hospital according to its unique requirements.

To learn more about Beckman Coulter's application of simulation modeling, read the entire case study

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Simulation Solutions for the Integrated Supply Chain
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May 18th-19th, 2005
Atlanta, Georgia

Presentations:

Using Simulation to Explore the Impact of Emerging Transportation Concepts
By Beth C. Kulick
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May 18th at 3:00 p.m.

Improving Model Usability Using Custom User Interfaces
By Rainer Dronzek
AAI Vice President
May 19th at 10:00 a.m.
Simulation Skills Track

Improving WMS Performance Through Simulation
By J. Ben Fuqua
AAI Vice President
May 19th at 1:30 p.m.
Supply Chain, Material Handling and Distribution Track

Guiding Lean Improvements and Capital Expenditures in a Hospital Laboratory
By David Connors
AAI Senior Simulations Analyst
May 19th at 10:00 a.m.
Healthcare Track