Like most sectors of the healthcare industry, pharmaceutical settings can often be unpredictable, making it difficult to achieve optimal service quality and efficiency. With the high costs associated with pharmaceuticals, it is important to optimize production and distribution time. Simcad Pro is a sophisticated simulation engine that can be utilized to improve the overall efficiency of a Pharmacy...

Monte Carlo simulations can be used to study the variability of the model and determine the model behavior boundaries along with the expected performance. In simulation models that contain variable failure rates, variable processing rates at each stations, and variable inputs, Monte Carlo simulation runs can be a tremendous asset to any organization in order to understand the intricate behavior of the model environment. Simcad Pro created models benefit from the fact that Simcad Pro integrates all the tools required to run and analyze Monte Carlo simulations quickly and effectively. Coupled with the patented On-the-fly dynamic model updates, Simcad Pro provides an unprecedented simulation environment unmatched in the industry.

Because variability is a key feature of all call centers, it needs to be taken into account when creating a model of a call center. In order to account for the variability within the call center, Simcad Pro allows users to import historical data from external data sources, as well as the ability to utilize live data to keep systems up-to-date.

ABSTRACT:

The Eaton Cutler-Hammer facility has two separate areas of assembly. Eleven production lines compose the Load Center Assembly Area while 17 production lines compose the Metering/Meter Breaker/ACD Assembly Area. Currently, 11 fork trucks are used in the facility to bring parts from receiving to storage where they can be picked up when needed by the assembly lines. Fork trucks also take packaged goods from finished assembly to shipping. Fork truck drivers are often dedicated to one or two assembly lines in an attempt to meet their every need and to ensure that the assembly process does not incur downtime.