Network Analysis and Optimization Leads to More Efficient Operations

A top U.S. food manufacturer leverages optimization to satisfy growing demand.

With highly perishable products and a large number of SKUs driving complexity, a growing U.S. food manufacturer was determined to asses if their existing operations were as efficient as they could be.

AIMMS was selected as the Modeling Technology for this network assessment. The AIMMS model was created in only two weeks and helped the team address key questions pertaining to logistics and overall fulfilment costs.

A regional food company has skyrocketed in popularity to become the best-selling brand in its category in the U.S. Their explosive growth presented some operational and logistics challenges for the manufacturer. They were working hard to keep up with customer demand which required rapid expansion. This launched an initiative to reduce transportation costs and improve the efficiency in their fulfillment operation.


Log in to download this paper.
Remember me.
Forgot your password? · Not a member? Register today!

What’s Related

News
The Post-Pandemic Warehouse & Distribution Center Workplace
As the economy begins to recover, distribution center and warehouse operators will be challenged with not just operating efficiently, but safely - emerging technologies may help in...
Supply Chain Professionals Say Planning Process is “Somewhat Effective” Regardless of ...
Spending Too Much Time on Data Crunching and Not Enough on Resilient Planning Decisions
Organizations are Betting on New Technologies to Improve Demand Forecasting Accuracy
Selecting Software for Supply Chain Network Design Doesn’t Have To Be Difficult
More News
Resources
Assessing Supply Chain Planning: Ready for Today’s Challenges?
This research report addresses the need for supply chain teams to react and recover, from a planning maturity stance, covering perceptions on planning effectiveness, time allocated...
Supply Chain Planning, Optimized | 3 AIMMS Case Studies
In these 3 case studies, we look at how Peapod used AIMMS based warehouse slotting optimization, how Höegh Autoliners integrated AIMMS planning solution, and how Tata Steel chose ...
How is Demand Forecasting Changing?
In this report, you will find helpful benchmarks and insights offered by your peers on the latest demand forecasting techniques, forecast granularity and periodicity, and expectati...
More Resources