A New Approach to Intelligent Scheduling
Manufacturing scheduling is becoming harder. More products. Shorter lead times. Tighter margins. More constraints. And constant change. For planning teams, the challenge isn’t simply creating a production schedule. It’s finding a schedule that balances competing priorities while responding quickly when reality changes. EvoAPS takes a different approach. Combining evolutionary algorithms and AI technology, EvoAPS explores thousands of potential schedules to identify options that best align with the priorities defined by the business.
Rather than relying on a single fixed set of rules, it continuously evaluates possibilities and allows planners to understand the trade-offs behind different scheduling decisions. The result is a new approach to production scheduling — one designed to help manufacturers produce more, consume less and make better decisions.
The Problem With Traditional Scheduling
Traditional scheduling approaches can work well when manufacturing environments are relatively stable.

But modern manufacturing rarely stays stable for long.
- A customer order changes.
- A machine goes down.
- A material arrives late.
- A new priority enters the schedule.
- A changeover takes longer than expected.
Suddenly, the schedule that looked optimal earlier in the day may no longer be the best option.
For planners, this can mean repeatedly rebuilding schedules, testing different combinations and relying heavily on experience to determine what should happen next. The issue isn’t that planners aren’t capable of making these decisions. The problem is the sheer number of possibilities they have to consider.
What If You Could Explore Thousands of Schedules?
This is where EvoAPS takes a fundamentally different approach. Instead of producing one schedule and stopping, EvoAPS can generate and evaluate multiple schedules in parallel.
Each schedule can be assessed against the strategic priorities defined by the manufacturer — such as:
Cost
Balance production decisions against operational costs and resource efficiency.
Service
Understand how scheduling decisions affect customer commitments and delivery performance.
Efficiency
Explore opportunities to improve utilisation, reduce waste and make better use of existing resources.
These priorities can be adjusted using intuitive strategy controls, allowing businesses to define what “good scheduling” means for their operation.
Scheduling That Evolves With Your Business
The name EvoAPS reflects the technology behind the solution. Its evolutionary algorithms explore a large number of potential scheduling combinations, progressively moving towards solutions that better fit the objectives defined by the business.
Rather than assuming that one scheduling rule will always produce the right answer, EvoAPS can explore different possibilities and allow planners to compare the results. This changes the role of scheduling.
Instead of asking:
“What schedule should I build?”
Planners can ask:
“Which of these options best supports what our business needs today?”
That is a significant shift from schedule creation towards decision support.
Built Around the Planner
Importantly, EvoAPS is not designed to replace planners. It is designed to support them. The system handles the computational work involved in exploring possibilities, testing strategies and comparing outcomes. The planner remains responsible for defining priorities, reviewing the available options and deciding what should ultimately be released.
From One Schedule to Multiple Possibilities
One of the most powerful aspects of EvoAPS is its ability to generate multiple viable scheduling options. Traditional approaches can often provide a single answer based on predefined rules.EvoAPS can instead explore different scenarios and make the resulting trade-offs visible.For example, one schedule might prioritise service levels. Another could prioritise resource efficiency. A third might focus on reducing changeovers.
The important point is that planners can compare these options rather than having to rely on a single predetermined outcome.
Compare
Review alternative schedules side-by-side.
Understand
See the metrics and trade-offs behind each option.
Decide
Select the schedule that best fits the current business strategy.
Responding When Production Changes
Manufacturing doesn’t operate in a vacuum. That means scheduling needs to be capable of responding to events as they happen.
On demand, when planners want to explore options
Automatically, at predefined times
In response to events, such as order completions, material arrivals or disruptions
This means manufacturers can move towards a more responsive scheduling process without requiring planners to constantly rebuild production plans manually.
EvoAPS can also protect near-term production through defined planning windows, allowing the operation to remain stable while the system continues exploring improvements further into the schedule.

Could your scheduling process be smarter?
Discover how intelligent scheduling can help your team evaluate more possibilities and make better production decisions.
Explore EvoAPS
Designed to Work With Your Existing Systems
Introducing new scheduling technology doesn’t necessarily mean replacing the systems already embedded within your manufacturing operation. EvoAPS is designed to work alongside your existing technology, using data from ERP systems, MES platforms, existing APS solutions and even spreadsheets. This allows manufacturers to enhance their current planning environment without having to replace the systems they already rely on. As a specialist scheduling and decision engine, EvoAPS focuses on exploring and improving scheduling decisions, while existing systems can continue to manage transactions, production execution and reporting.
Complexity Is Where EvoAPS Can Make a Difference
Modern manufacturing environments can contain hundreds or thousands of interconnected decisions. EvoAPS is designed to model many of these real-world conditions, including sequence-dependent changeovers, alternative resources, finite calendars, maintenance and downtime, material dependencies, batch processing and multi-operation routings

Resources.
Routings.
Materials.
Changeovers.
Maintenance.
Downtime.
BOM dependencies.
Alternative machines.
Labour constraints.
Finite capacity.
The objective isn’t to simplify the manufacturing environment artificially. It’s to give planners a better way of working with its complexity.
See What Intelligent Scheduling Can Do
EvoAPS explores thousands of potential scheduling combinations, helping planners compare scenarios and understand the trade-offs behind different production decisions.
Discover EvoAPS

The underlying philosophy of EvoAPS is captured in its tagline: Produce More. Consume Less.
Better scheduling isn’t only about increasing output. It can also mean making better use of the resources already available. EvoAPS identifies sustainability as one of its core objectives, alongside improving efficiency and supporting scalable growth.For manufacturers under pressure to improve both operational performance and resource efficiency, scheduling can therefore become an important part of the wider sustainability strategy.
Where Does EvoAPS Fit?
EvoAPS doesn’t require manufacturers to completely redesign their planning environment. Instead, it can sit alongside the technology already being used.
Existing systems: ERP | MES | APS | Planning data
EvoAPS
Scheduling & decision engine
Improved options
Compare | Analyse | Optimise | Decide
Manufacturing execution
Release the schedule that best fits the current priorities.
This approach allows manufacturers to explore the benefits of intelligent scheduling while maintaining the systems and processes that already support their operation.
The Future of Manufacturing Scheduling
Manufacturing is becoming more complex — and the number of decisions planners need to make is increasing with it. The future of scheduling is therefore unlikely to be about simply generating a plan and hoping it holds. It’s about being able to explore, compare and adapt.
EvoAPS brings evolutionary algorithms and AI into this environment, giving manufacturers a way to explore thousands of scheduling possibilities and evaluate them against the objectives that matter to their business.
For planners, that means less time spent manually rebuilding schedules and more opportunity to focus on judgement, problem-solving and strategic decision-making. For manufacturers, it creates the potential to make better use of existing capacity, resources and materials.
Discover EvoAPS With Kudos Solutions
At Kudos Solutions, we specialise in advanced planning and scheduling and help manufacturers make better use of the technology available to them. As the UK partner bringing EvoAPS to manufacturers, Kudos Solutions can help organisations explore how intelligent scheduling could fit within their existing planning environment.
Whether you’re currently working with spreadsheets, an existing APS solution or a broader ERP/MES environment, the starting point is understanding the challenges within your operation. EvoAPS could change the way your organisation approaches scheduling.
Produce more. Consume less. Schedule smarter.
Talk to Kudos Solutions to explore EvoAPS.







