Case Study

Scheduling of containers using virtual machine learning

Optimally schedule containers given the restrictions and proactively investigate on how the placement of containers on your assets impacts performance. ​The expectation of resolving the container problem is for the analytics model to fit all load constraints within few containers as practically possible.

Business Challenges

Many real-life situations require the need to satisfy multiple objectives when optimizing. For most optimization problems there are restrictions imposed on the environment or available resources (time restrictions, physical limitations, etc.) that must be satisfied for the solution to be acceptable. The container optimization is a complex one given the multi-faceted constraints of the problem. ​

CBC Solutions

CBC delivers results using a swarm intelligence algorithm that takes its inspiration from social behaviors of animals and insects and have been the base for many different algorithms. The most studied and successful method is the general-purpose optimization technique Ant Colony Optimization (ACO). ​

Benefits realized by Customer

Digital transformation for ports is dependent on the degree of freedom available for the operators to consolidate. CBC provides simulation tools that can integrate into your complex operations.​

Related Case Studies

The chatbot will interpret natural language queries, provide clear responses based on logged-in user data, and
Real-time market situations demands clear visibility, agile data-driven decisions, and seamless integrations across organizations. Custom Integrated
Cancellation of Auto policy upon Total Loss is a critical business process in insurance premiums and
Increased omni-channel distribution requires interfacing with multiple order management and fulfillment systems in an integrated manner.​
Selling products directly to consumers without involving the retailer or third-party wholesaler is a new distribution
Taking the “guessing game” out of your food distribution. Deliver on your freshness promise. Designing a