CASE 01 · Pharma · Supply Chain Network Design

From 2 to 2,000 customers: redesigning a temperature-controlled network through optimization to enable scalable growth

Redesigned the cold-chain network by optimizing distribution center locations and simulating 200+ scenarios to achieve the right balance of service, cost, and feasibility.

A pharmaceutical production environment connected to supply-chain planning

Outcomes2 → 2,000

customers enabled through optimized network design

01Business challenge

Regulatory changes drove rapid expansion of the direct customer base, while the existing network lacked the capacity and flexibility to meet cold-chain and 48-hour delivery requirements.

02OAT solution

A mathematical optimization model redesigned distribution center locations and service relationships by evaluating multiple network scenarios and balancing cost, cold-chain requirements, and delivery performance.

03 · Outcomes

Faster response to strategic and market changes
Scalable optimization model deployed across Russia, Japan, India, and other regions

OAT · NEXT STEP

Talk to an optimization expert

Share your business goals, data environment and critical constraints. We will help identify the right modelling and deployment path.

Talk to an optimization expert

From 2 to 2,000 customers: redesigning a temperature-controlled network through optimization to enable scalable growth

Regulatory changes drove rapid expansion of the direct customer base, while the existing network lacked the capacity and flexibility to meet cold-chain and 48-hour delivery requirements.

A mathematical optimization model redesigned distribution center locations and service relationships by evaluating multiple network scenarios and balancing cost, cold-chain requirements, and delivery performance.

Supply Chain Network Planning

Talk to an optimization expert