Engineered Labor Standards and LMS Exports as Task Timing Labels

What these records are

A labor management system, or LMS, tracks work in a warehouse against expectations. Two kinds of record matter here. The first is the standard: an expected time or time model for a defined task, such as picking a case from a given location type or putting away a pallet. Engineered standards are built by industrial engineers from observation or from predetermined motion-time systems. The second is the transaction export: timestamps of scans, task starts and completions, locations and task types, from which actual times can be derived.

For a robot-learning team, the appeal is that these records are already structured and already tied to named tasks. They can turn raw demonstration hours into labeled segments without a new annotation pass, and they give a plausible duration for each segment.

What a motion-time standard describes

One family of methods used to build standards is predetermined motion-time systems. The MTM Association describes Methods-Time Measurement as a method standard for describing, evaluating and designing human work (MTM Association). Training materials describe MTM as breaking manual operations into basic motions such as reach, grasp, move, position and release, each with a predetermined time; that detail comes from course materials rather than the association's page, so confirm it with the specific system a supplier uses.

For data, the useful property is decomposition. A standard may list the motion elements of a task, and a supplier may hold the analysis sheet. That is a human-readable breakdown of what a worker does, which can be aligned to video of the same task. It is not a description of what a robot should do, because a humanoid's kinematics, hand and speed are different. See labor time standards in maintenance and time-and-motion study recordings for the same idea in adjacent settings.

Where the records may sit

Warehouses with an LMS, third-party logistics providers, distributors, retailers' distribution centers and consultants who build standards may hold:

• Standards libraries, with task definitions, allowances and time values.
• Engineering study files, with motion-element breakdowns and sometimes video of the studied work.
• LMS exports, with per-transaction timestamps.
• Task taxonomies, mapping system task codes to physical activities; see warehouse task taxonomy.

Consultancy-built standards may be owned by the consultant or governed by the client's contract, and a warehouse may not be free to license them. The rights picture is covered further below.

Illustrative package

# Illustrative only - synthetic values, not an available dataset
task_code: TC_pick_case_L2
standard:
  expected_seconds: derived_from_model_v2
  elements: [reach, grasp, move, position, release]
transactions:
  - {txn_id: txn_0001, operator_id: operator_A12, start: 08:41:10, end: 08:41:52}
video_link: clip_000388              # only if a study recorded it
use_as_label: [task_type, segment_duration]
operator_id_policy: pseudonymized; not used for ranking

In this illustrative record the operator_id field is pseudonymous and present only for deduplication; drop it if deduplication is not needed. The point of such a package is task-level labeling.

How to use timing labels for robot data

Segmenting demonstrations. For each-picking demonstrations and similar tasks, if scan times are synchronized with video clocks, start and end scans give approximate boundaries for each task instance. The tolerance depends on how scans relate to physical events; a scan may occur several seconds after a grasp. Treat boundaries as weak labels and verify a sample by eye. The pick confirmation as labels page covers the alignment problems.

Sanity-checking collected data. Expected times can flag clips that are implausibly short or long, which may indicate skipped steps, interruptions or mislabeled tasks.

Describing workflow structure. Standards define what counts as a task and what is included, which supports a task taxonomy shared across sites.

Contextualizing evaluation. A pick evaluation protocol can refer to human reference times for a task, as long as the comparison is stated honestly: a human standard includes allowances and is not a robot benchmark.

Keep these uses at the task level. A dataset of aggregated task times by task type and site is a different thing from a ranking of named workers. Evaluating a robot's perception or manipulation is separate from any monitoring of people, and a package prepared for robot learning should not include worker-level productivity scores or discipline records.

What this data cannot support

• Robot actions. Standards and timestamps contain no joint states, commanded motions or contact forces. Training a humanoid to move needs robot or teleoperation data; timing labels, footage and recognition data alone cannot supply control.
• Motion quality. A time standard says how long, not how well, and not how.
• Robot speed targets. Human standards include allowances and ergonomic assumptions; they are not performance targets for a robot.
• Comparability across sites. Standards embed local methods, equipment and layouts.
• Individual assessment. The data must not be used to judge workers, and doing so would also change what workers do in recorded footage.

For the broader point about human data and robot control, see what human demonstration video can and cannot do.

Permissions and provenance

LMS data is employee-generated: each transaction can link to a person. Standards may be a consultancy's intellectual property, and study videos show employees. Ask who owns each layer, whether workers were told about the data's secondary use, and whether pseudonymization is complete, since timing patterns can identify individuals even without names. Removal of names does not by itself resolve permission questions. Where a workforce is represented, ask whether a collective agreement or similar arrangement governs how time and performance data may be used, and whether workers or their representatives were consulted about reuse. This is not legal advice. See worker consent and identifiable people.

Questions to ask suppliers

1. Does the site hold engineered standards, and who built them?
2. Are motion-element breakdowns retained, or only final time values?
3. What do LMS transactions record: scans only, or scans plus travel and indirect time?
4. How do scan times relate to the physical moment of grasp and placement?
5. Are study videos retained, and do they link to specific standards?
6. What worker-identifying fields exist, and can they be fully pseudonymized?
7. Who owns the standards: the warehouse, a consultant or a client?
8. Do client contracts restrict use of task and volume data?
9. Which methods, allowances and equipment assumptions underlie the standards?
10. Were workers or their representatives informed or consulted about reusing timing records, and does any labor agreement limit that use?

Discuss your requirements

If you are looking for task-level timing labels, describe the task types, record formats and permitted uses to SourceX. SourceX reviews the requirement, looks for US businesses that may hold suitable records, checks the data and the supplier's licensing permissions, and follows up about potential sources. A request does not guarantee a match. For the wider map, see the humanoid training data guide and the warehouse data hub; the catalog page on workflow and task histories is related.

Discuss your humanoid training-data requirements with SourceX

Sources

• MTM ASSOCIATION e. V. (Methods-Time Measurement) — MTM as a method standard for human work; basic-motion decomposition per training materials.