Objectives
•
Help evaluate changes to the large animal supply chain that would reduce
costs while maintaining zero delays in study starts.
•
Analyze the impact of multiple supply chain sourcing options
•
Provide a methodology to rapidly model portfolio shifts and their impact
on the supply chain.
Solution
The solution included a computer simulation application that integrated
a detailed supply chain model with a high-level strategic portfolio model
This enabled the firm to use high level Global R&D portfolio projections
to help manage the large animal supply chain.
Portfolio Simulator was used to simulate the company’s global portfolio
of drug candidates moving through the discovery and development process,
in order to predict the future requirements for Safety Science studies.
The estimated SS Study requirements are then used as the input to a detailed
large animal supply chain model that includes all animal inventory, animal
breeding and global study sites.
The solution was validated to be 90% accurate when compared to historical
data.
Results
Tangible benefits:
•
Allowed the company to prove the feasibility of a new combination of supply
chain sources and distribution centers resulting in a cost savings of more
than $4,000,000 annually.
•
Aided with the planning of a revised supplier contract which resulted in
a 60% reduction in “daily storage cost.”
 Intangible
benefits:
•
For the first time, client has the ability to accurately forecast global
large animal demand for 5 year time horizons.
•
Helped facilitate the right organizational changes.
•
Provide confidence that the changes would result in no projected delays
due to a shortage of animals.
•
Provided a viable methodology to help with yearly analysis of global
large animal safety study requirements and management of its supplier’s
contractual obligations.
•
Created a better understanding of the relationship between Therapeutic
Area (TA) studies and large animal requirements.
The results of the simulation solution can be displayed in a variety
of visual and meaningful ways. The above chart, just one of many possible
output display selections from this solution, shows the actual large
animal usage for 2004 and 2005 with the vertical bars. The predicted
usage from the model is indicated by the horizontal lines. The center
line indicates the simulated usage, and the top and bottom lines indicate
the potential variation from the simulated requirements due to real
life factors such as changes in the number of studies, or the number
of animals required for a study.
ROI Range
ProModel is proud
to announce the release of Portfolio Simulator 5.2.
Available immediately to all licensed Portfolio Simulator 5.X users.
Portfolio Simulator continues to redefine the project portfolio management
space through easy-to-use predictive technology. With this release, Portfolio
Simulator adds:
 • Sensitivity
Scenarios
• Turn off “survival” checkbox in Scenario Manager
• Auto Backup
• Distribution Builder: Visualize the distribution
• Disk Usage Reduction
• (Optional)Dates Shown with Time….and more
To view more release details
click here: Portfolio Simulator 5.2
detailed release notes.
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