A a leading manufacturer of kitchen taps, located in New York
Goals/ Challenges
Goals
- Selection of the best possible routes to cut down the transportation time ).- Reduction of the transportation cost
- Better partner collaboration wherever possible )0- Access to real time Information
- Contingency planning against external factors
Challenges
- Integration of available statistical tools with the ERP systems to gather data
- Computational difficulty with growing number of customers
Our Solution/ Approach
Solution
- Analysis of distance/travel time data between customers, depots, and pick up points
- Constraint-based identification of optimal routes from all feasible routes between the nodes, considering several factors
- Detailed delivery schedule for real-time monitoring of dispatch of goods with respect to trucks, products, and routes
Approach
- Route optimization and generation of delivery schedule in terms of vehicle, driver, location, time and customer details
- Leveraged meta-heuristic-based swarm intelligence optimization algorithms
- Proposed improved efficiency for trucks by identifying the root causes of delay and analyzing the past delivery data
