Glossary · System coordination, integration and orchestration
Sequence optimization
Also known as: Sequencing optimization, Job sequencing
German: Reihenfolgeoptimierung
In production planning and automation, sequence optimization is the determination of the order in which jobs, operations or motions are processed so that a goal, such as minimal setup time, minimal cycle time or on-time delivery, is best achieved under the given constraints.
- System integration
In one sentence
Sequence optimization finds the processing order of jobs or operations that best meets goals like minimal setup time or on-time delivery.
Example
A paint shop sequences car bodies so that consecutive bodies share the same color where possible, reducing color changes and solvent consumption.
How it applies
- Planning: Sequencing problems are often computationally hard; practical solutions use heuristics, priority rules, mathematical optimization or, increasingly, machine learning. Constraints such as due dates, material availability and maintenance windows must be part of the model.
- Machine level: Sequence optimization also applies inside machines, for example optimizing the order of pick positions or drilling holes to shorten travel paths.
- Operation: An optimized sequence is only useful if operators can follow and, where necessary, override it. Explain why the sequence looks the way it does.
- Documentation: Describe the optimization goal, constraints and override options in the planning system documentation. If AI-based optimization is used, document its inputs and limits for users.
Sequence optimization vs. task sequencing
Task sequencing is the act of putting tasks in an order, which may follow fixed rules. Sequence optimization searches for the best order according to a defined goal.