Large companies with complex distribution operations require distribution centers that are custom designed for their unique product mix and order profiles. Developing an effective distribution operation requires answering hundreds of interconnected and cascading questions. Getting these answers right can have a big impact on the ROI of your distribution operation.
But getting to the best design that is optimized for your unique situation is not a simple process. The design process requires intricate communication of highly technical information across multiple teams, departments and organizations. Suboptimal design decisions can create implementation and operating issues that threaten the overall project return on investment. And it can be difficult to understand and visualize the overall system impact of individual design decisions before implementation, when corrective action is most effective.
What is the Solution?
To manage the process and get to the best design requires more than a back-of-the-napkin approach. Large data sets need to be analyzed to look for trends and set the foundation for the design. You’ll need a way to quickly create and evaluate design concepts, looking for those with the best tradeoffs that will optimize your return on investment. Advanced analytical software and mathematical models will be required to help with key design decisions. You’ll need a way for a large team to collaborate and interact real-time throughout the design and review process. And to review the impact of design decisions, you’ll need simulation software that uses real data, to find bottlenecks and make adjustments before you begin implementation.
The Fortna DC Design Suite™ is a group of services that employ cloud-based software applications, multi-dimensional models, and calculators that transform the process of creating the optimal distribution operation for a company.
Quickly analyzes years of item, order, receipt, shipment and inventory data to provide a foundation for projecting future business growth and requirements.
Accelerates the conceptual design process, and allows for a highly visual collaborative design approach that helps align expectations, and eliminates costly and time-consuming rework. Uses multi-dimensional analytical models of key distribution design concepts that quickly identifies the alternative with the best business case to optimize the design for each client’s unique business requirements.
Automates the specification of a distribution center detailed design down to component and qualified supplier level.
Simulates actual distribution operations to gain insights into its dynamic behavior under multiple load and stress scenarios so refinements can be made before implementation.
Must optimize hundreds of interdependent design variables.
Balancing tradeoffs between investment and performance.
Hard to coordinate multiple teams and organizations.
Difficult to visualize performance before implementation.