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Cycle time

Cycle time is the elapsed time required for a work item, process, or production cycle to move from a defined start point to completion.

How 2 Manning books explain it

Optimization Algorithms: AI techniques for design, planning, and control problems

Cycle time is the time allocated for a workstation to complete its assigned tasks and pass the product onward.

How it is used
Frames assembly-line capacity and task-assignment decisions by limiting each workstation’s available completion time.
How deep it goes
Defines the measure, embeds it in SALBP objectives, and demonstrates parameter use without deriving the optimization internals.
Examples
Uses cycle-time settings of 4 and 48.0 in Python runs that report workstation counts and workloads.
What you can do after
Configure it in an assembly-line balancing model and evaluate resulting station counts and workloads.

Read how Optimization Algorithms: AI techniques for design, planning, and control problems explains cycle time →

Shipping Go: Develop, deliver, discuss, design, and go again

Cycle time is the elapsed time required for an individual process step or stage to complete.

How it is used
Uses cycle time to identify pipeline steps whose optimization can reduce customer-facing lead time.
How deep it goes
Defines cycle time within lead time and compares parallel, sequential, and hybrid pipeline execution without measuring specific durations.
Examples
Illustrates cycle time with customer-request delivery intervals and parallel linting, vetting, and testing stages.
What you can do after
Apply it via a pipeline by locating slow stages and choosing parallel, sequential, or hybrid execution.

Read how Shipping Go: Develop, deliver, discuss, design, and go again explains cycle time →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.