Using AI and mathematical optimization, iOptimum reduces programming time by up to 90%, generating a return on investment in the first year.
Optimizing critical operations that are market leaders
Annual downtime is caused by unscheduled stoppages. These are failures that an optimized schedule helps prevent.
This is the estimated cost incurred by major industries due to unplanned downtime. This is equivalent to Spain's GDP.
Maintenance scheduling involves hundreds or even thousands of possible combinations of people, equipment, tools, materials, priorities, and maintenance windows.
The result is well known:
That is exactly the challenge that iOptimum solves.
Connect the data from your maintenance system and configure it with your plant's rules and restrictions. iOptimum takes care of the rest.
Portfolio prioritization and flagging of inconsistencies
Scenario Simulation
iOptimum ensures that scheduling is based on the plant's defined priorities, reducing unscheduled downtime and increasing asset availability.
You can see greater efficiency in day-to-day operations. The value of iOptimum lies in standardizing the scheduling process in accordance with plant rules, optimizing order fulfillment capacity, and identifying areas for improvement.
With iOptimum, scheduling becomes automatic and optimized, reducing the manual effort required for this process. This frees up more time for analytical and strategic tasks.
A structured workflow that the PCM team can master in a matter of minutes.
Before making a decision, find out how much iOptimum can generate for your business and how long it will take for the investment to pay for itself.
Reduction in planning and scheduling costs
Reduction in maintenance staff costs
Increased availability and reduced downtime
Our software has a proven track record in highly complex industrial plants across various industries. Ensure that your PCM moves beyond a reactive approach and operates with predictability and efficiency.
during weekday programming hours
the number of scheduled maintenance orders (MOs)
in the criticality score of the scheduled OMs
You'll soon see a return on investment from your operation.
Location: Bebedouro (SP)
Challenge: High volume of maintenance + frequent shift changes
Objective: To make the weekly schedule flexible and agile so that it can adapt to changing circumstances and execute as many critical orders as possible.
Result:
Location: Camaçari (BA)
Challenge: Lean PCM team + maintenance work orders awaiting further details
Objective: To reduce the time spent on weekly scheduling so that the scheduler could assist with planning, thereby improving maintenance metrics.
Result:
Location: Paragominas (PA)
Challenge: High volume of maintenance and significant manual effort required for weekly scheduling
Objective: To maximize order fulfillment by optimizing resource allocation and drastically reducing the time spent on weekly scheduling.
Result:
Location: Aracruz (ES)
Challenge: A large backlog of critical tasks and a significant amount of manual work involved in weekly scheduling.
Objective: To reduce operational risk by maximizing the criticality score of scheduled maintenance orders while maintaining a high execution rate.
Result:
iOptimum is designed to handle the complexity of large-scale operations.
Excel vs. Optimized Programming with iOptimum
Download nowA study involving 5 global consulting firms.
Download nowA study involving 8 leaders from major industries.
Download nowCan't find the answer to your question? Talk to our team during the demo.
Optimize the weekly scheduling process in the industry, mathematically ensuring that the generated schedule will be the best possible, based on the maintenance portfolio, available resources, prioritization criteria, and operational constraints.
Yes. iOptimum was developed to optimize weekly scheduling in highly complex industrial operations, with proven results at major companies in the mining, steel, pulp, food, chemical, petrochemical, and bioenergy sectors.
In the vast majority of industries, weekly scheduling is done manually, based on the plant’s history and the team’s intuition. With iOptimum, this process takes just a few minutes, based on the plant’s prioritization criteria and constraints, allowing the PCM team to take a more analytical approach to other maintenance tasks.
Yes, it is possible to integrate iOptimum with the maintenance management system used at the plant via APIs.
One of iOptimum's key advantages is its customization. During implementation, the software is configured to meet the facility's specific needs and constraints.
The implementation of iOptimum is carried out through a 16- to 24-week pilot program. The process begins with an assessment of the current system, followed by system configuration and assisted operation. The software then goes live with ongoing support, adjustments, and monitoring of results.
IndustriALL meets the highest standards for cybersecurity and data protection. All information is stored in the cloud with enterprise-grade encryption and continuous backup.
Schedule a demo and see how iOptimum can take your maintenance to the next level.
Request a demo →IndustriALL is an IndTech company specializing in solutions for optimizing industrial maintenance, serving highly complex, critical operations throughout Brazil in the food and beverage, bioenergy, chemical, mining, pulp and paper, and steel industries.
Among our solutions is iOptimum, a platform that combines artificial intelligence and mathematical optimization to generate the best industrial maintenance schedule. Through a four-step process, the tool transforms data into an optimized schedule in just a few minutes, contributing to greater operational efficiency, productivity, and decision-making.