Decision Support Systems

Decision Support Software

MJC²'s optimization software is used for automatically planning logistics, manufacturing and supply chain operations.

Our systems can also be used as decision support tools, exploiting artificial intelligence based algorithms and advanced analytics to help the user navigate through very large datasets or complex operations.

Real-time Decision Support Algorithms

MJC²'s real-time systems are capable of processing high volumes of real-time data, applying complex business or operational rules to provide dynamic decision support capability.

Typical applications include:

Real-time Transport Planning, using e.g. REACT or MOBi to provide a real-time view of vehicles and mobile workers. The optimization software suggests solutions for issues such as delays or unassigned work, providing tools to allow the planner to understand the impact of each choice.

Just-in-Time Manufacturing, using PIMSS's job scheduling and allocation algorithms to respond to requests for urgent production orders or to identify preferred re-routings in the case of a breakdown or equipment failure.

Real-time Visitor Scheduling, for example at a venue or attraction which has 1000s of visitors. MJC²'s @ease software uses real-time location data to reduce queues and congestion and guide site managers as to the best deployment of flexible resources.

Strategic Decision Support Tools

Our strategic optimization software can be used for applications such as:

Strategic network optimization, using SLIM to experiment with different network configurations and node/hub capacities to compare infrastructure investment options.

Supply chain de-stressing, using synchro-modal optimization algorithms to provide the user with a choice and configuration of multimodal transport lanes that de-risk the supply chain, reducing costs and environmental impact.

Distribution Centre Optimization, using logistics planning and employee scheduling algorithms to model queueing, bottlenecks and throughputs in major sortation hubs and multimodal terminals, allowing the user to see the impact of varying capacity and staffing levels at key points in the process.



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