Order Management System
Quantillion's Order Management System (OMS) transforms the traditionally time-consuming and repetitive process of planning and distributing industrial work orders.
Introduction
Industrial production is a complex operation involving a variety of processes, agents, and systems. Schedules are often used to manage expectations and provide structure for this complex operation. Tasks arising from these schedules are called orders; they specify what, where, and by when something needs to be done. This leads to the interesting question – who should complete each order and when?
Quantillion’s AI-based order creation and distribution software is designed to help industrial plants achieve desired throughput with the resources available in the most efficient way. The system dynamically creates orders and allocates them to the best possible agent, while responding to changing goals and deadlines.
Features
Orders can be created automatically and dynamically throughout a shift, based on plant specific business rules and goals.
Apply it to both cyclical processes (e.g. anode changing) and more dynamic processes (e.g. hot metal flow), and to any combination of the above.
Top it off with an AI-based order distribution, which finds the best agent for each order, with constant re-evaluation based on live changes in the environment.
Combine equipment of various technological maturity levels - from fully manual to fully autonomous.
Smoothly manage collaboration between different types of agents used for the same task (e.g. manual and automated) and seamlessly handle multi mission pool(s) of agents.
The OMS can be linked to other systems in the plant, such as a Traffic Management System, for additional optimisation.
Predict when and how your desired goals will be achieved to better manage the expectations.
Based on those predictions autonomously create (additional) orders ahead of time to anticipate and prepare for the upcoming workload.
Keep the control over the process and equipment with your operators, allowing them to override decisions of the algorithm if needed and to provide feedback to the system.
In case of automated (or autonomous) equipment, the OMS allows operators to give tasks to that equipment from outside the operational areas, removing them from risky operations.
Provide all the teams involved in the process with the same real-time overview of what is happening in the relevant parts of the plant, including, status and utilisation of equipment, progress of involved teams and any delays as well as concentration of agents in each of the relevant areas.
Give your operators a user-friendly mobile application, which they can take with them anywhere in the plant.
It includes, but is not limited to, the following functionalities: order creation, order editing, order prioritisation in queues, order status update (e.g. completion), digital communication with other teams.
Benefits
Use Cases
Starting with OMS implementation in the logistics of the heavy industry, we have already witnessed potential gains, namely the ability to reduce the number of agents (i.e. vehicles) required to complete the same number of jobs. For the agents involved in the process (e.g. operators, automated vehicles, and cranes) the OMS provides tasks with instructions on how to best complete those and the desired completion time. Once the task is in progress the agent communicates back and forth with the system providing status updates. These updates are constantly aggregated on a team level to provide a progress overview. In case of any unexpected changes (e.g. equipment malfunction or delays) the agents are informed and the orders adjusted accordingly.