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Eight Strategies for Portfolio Optimization in Pharma

Updated: Oct 31

In our latest article, we developed eight different project portfolio optimization strategies to account for varying risk appetites, budget constraints, and strategic priorities. These strategies help decision-makers explore multiple perspectives rather than relying on a single optimal solution.


The strategies are structured around two main strategic focuses:

1️⃣ Ensuring Revenue Targets (>X)

-- Achieve a mean revenue target while minimizing total cost

-- Ensure a minimum yearly revenue threshold while minimizing total cost

-- Optimize for mean revenue, while ensuring peak yearly spend doesn’t exceed budget

-- Secure a minimum yearly revenue, while keeping yearly spend within budget

2️⃣ Keeping Investment Cost Within Budget (<Y)

-- Maximize total revenue while keeping the mean cost within budget

-- Maximize revenue while keeping yearly cost within budget

-- Focus on steady revenue while containing mean cost

-- Keep revenue stable while ensuring peak yearly spend never exceeds budget


Exploring multiple strategies highlights the trade-offs between cost and revenue, showing how portfolio balance evolves under different constraints. Comparing outcomes across these strategies provides insights into the dynamics of a pharmaceutical portfolio and helps decision-makers understand how different priorities affect the long-term pipeline.


Instead of multi-objective optimization, which in this case indeed would be a black box, our structured approach keeps the decision-making process transparent. Rather than producing a single result, it provides a framework for strategic judgment, allowing for a clearer view of portfolio risks and opportunities.


 
 
 

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