With Transportation Guru™, Network Designers and Analysts Have the Tools To:
Challenge Legacy Transportation Networks
Is your best option to optimize “as-is” or to re-engineer a new network? Test the effects of new modes or product flow patterns. Evaluate importing through new ports or adding cross-docks. Answer these questions with concrete data and visual references.
Determine Lowest Overall Landed Cost
Incorporate inventory, sourcing, production, service levels and other constraints to understand the true lowest landed cost solution for your global transportation needs.
Identify Optimal Mode Mix
Test and inderstand trade-offs for ocean vs. air, truckload vs. LTL, or rail vs. OTR given your global supply chain network flaws and costs. Scale the model to include all required SKUs and shipments.
Prove Optimal DC-to-Customer Assignments
Determine the optimal assignment of DCs to customer or retail locations to achieve the lowest cost solution that still meets service level targets. Rebalance assignments as new customers or stores are added to the network.
Measure All Constraints For Most Efficient Routings
Develop efficient multi-stop routes and locate backhaul opportunities to reduce empty miles and labor requirements. Choose from various vehicle sizes and carriers and consider multiple cost types related to distance, stops, surcharges and discounts, driver time and overnight hauls.
Design a More Sustainable Transportation Network
Calculate the emissions associated with “as-is” and new transportation network strategies or optimize the network to achieve a specific reduction target while also meeting performance criteria.
Evaluate Network Footprint and Greenfield Locations
Identify the optimal structure and footprint of distribution, production or sourcing sites or use advance greenfield technology to identify the ideal location for new facilities.
Solve Complex Problems… Through a Wide-Range of Modeling Options
- Compare optimal multi-stop routes to less-than-truckload shipment costs to determine the ideal mode mix
- Identify the savings achieved by continuous moves on inbound and outbound loads, mode selection and DC location
- Develop alternative routes based on various vehicle size and carriers
- Analyze multiple cost types related to distance, stops, surcharges and discounts, driver time and overnight hauls
- Include constraints related to shipment time windows, business hours and trip characteristics such as maximum route time or number of allowed stops by vehicle types
- Designate vehicle routes as round trip or one-way
- Enforce relationships to prevent incompatible products from being combined on the same route
- Identify the optimal number and location of distribution, production or sourcing locations
- Determine ideal mode and flow path for each product or business unit
- Optimize the network to ensure required service levels for each product
- Use multi-time period analysis to determine the right time to shift product flow or to add capacity
- Use advance greenfield technology to locate new facility locations.
- Test for actual service and cost of any design by running historical or forecasted demand through a discreet-event simulation calendar
- Perform detailed “what-if” analysis to identify risks or bottlenecks
- Identify the likelihood of unwanted occurrences such as late deliveries, missed delivery windows or expedited shipments
- Incorporate probability distributions for all key time and quantity variables, such as demand, transportation time, load/unload, etc.
- Scale models to include all required SKUs, shipments and points
- Animate shipments to visualize the performance of each scenario
- Includes numerous data integration technologies to seamlessly connect to any type of enterprise data sources
- Provides fully integrated visualization tools including maps, charts and one-click connections to Tableau™ and Google Earth
- Integrates vehicle route optimization modeling with network optimization or simulation within the same data module
- Includes optional certified SAP Data Connector for direct connection to ERP transaction data
- Leverages advanced geocoding and mapping capabilities to build models and display vehicle results on maps in a visual, intuitive way
- Uses extensive scenario management capability to quickly run many “what-if” scenarios, altering cost or route parameters
- Models can be driven from shipment history (from N&C freight audit data), optimization results or demand files