Build a Skill-Aware Shift Plan With Real Workforce Constraints
One department, one shift pattern, your real skill matrix and rule set. The question is not whether a roster can be generated — it is whether the generated roster covers the critical skills, respects the rules, and survives the changes that arrive on a Friday afternoon.
Plan my labor scheduling PoCTalk to a manufacturing engineerIs this the problem you need to solve?
- The shift plan is built in a spreadsheet and rebuilt from scratch every time someone calls in sick.
- A line stops because the one person qualified for a station is on the wrong shift.
- Overtime is discovered in payroll, not in the plan that caused it.
- Fairness complaints cannot be answered because nobody can show how the roster was built.
Primary buyer: Production Manager · HR Operations · Shift Manager · Production Planning Manager · Plant Manager
What this PoC will prove
Recommended pilot scope
- One department with a real staffing constraint, not the easiest one to model.
- One shift pattern and an agreed planning horizon — long enough to include a rotation.
- A representative workforce, anonymised, with the real skill matrix behind it.
- The absence, overtime and rest rules that actually apply, including collective agreements.
- Production demand by period for the same horizon.
What will be live during the PoC
How this PoC runs
Durations are typical, not guaranteed. What extends a schedule: missing or incomplete data, security and network approvals, hardware lead times, sample collection, installation access, the production schedule, ERP test access, and the time your team needs to review results.
No unplanned shutdown is expected. Any installation window or controlled interruption is agreed with you in advance and scheduled around production.
How success will be measured
| Metric | How it is defined | Where the number comes from | Type |
|---|---|---|---|
| Staffing coverage | Share of required station-hours covered by a qualified person in the generated plan. | MSF platform data | Operational |
| Uncovered critical skills | Number of shifts where a station has no qualified person available, under the agreed absence assumption. | MSF platform data | Operational |
| Overtime requirement | Overtime hours the plan needs to reach coverage, compared with the manual plan for the same horizon. | MSF platform data | Financial |
| Schedule generation effort | Hours to produce and publish the roster, measured the same way for both methods. | Observation and user interview | Operational |
| Late change handling | Time to republish a valid plan after a late absence or demand change. | MSF platform data | Operational |
| Rule violations | Count of rest, qualification or contract violations in each plan, on the same rule set. | MSF platform data | Technical |
| Supervisor overrides | How often a supervisor had to change the generated plan to make it workable. | Observation and user interview | Adoption |
Before implementation, MSF and your team agree how each metric is calculated, where the baseline comes from, what data is excluded, and what result supports a rollout decision. This page lists what gets measured; the actual targets belong in the written PoC scope, not in a marketing claim.
What you need to provide
- Anonymised workforce identifiers with availability and qualifications — never names or personal records.
- Skill matrix, workstation requirements and shift patterns.
- Absence, overtime, rest and any collective-agreement rules that constrain the roster.
- Production demand by period for the planning horizon.
Who does what
Meta Smart Factory provides
- Discovery workshop and scope facilitation
- Solution configuration for the agreed scope
- Integration and connection work inside that scope
- MSF hardware listed in the proposal
- Training for the pilot users
- The KPI definitions and validation method
- Issue tracking and support during the pilot
- The final result report and rollout design
- A configured rule set that separates legal constraints from contractual ones from local preferences.
- A governance proposal naming who owns each rule after rollout.
You provide
- A named business owner and a named technical owner
- Timely access to users, the line, machines and approved systems
- An accurate explanation of the process and the master data
- Network, power, mounting and safety access
- ERP, PLC and vendor documentation, plus the experts who know them
- Representative samples or historical data
- Validation that the baseline is fair
- Feedback and the acceptance decision
- A supervisor who will judge whether a generated roster is genuinely runnable.
- Confirmation from HR of which rules are binding and which are negotiable.
Defined in the written proposal
- Panel PCs, tablets, servers and GPU servers
- Cameras, lenses, lighting and enclosures
- Scanners, printers, RFID readers, meters and sensors
- Travel, installation, freight, import duty and local electrical work
- Whether hardware is rented or purchased
- Whether any PoC fee is credited against a rollout
Commercial terms, hardware ownership, travel, integration scope and any rollout credit are defined in the written PoC proposal. They are not the same for every product, and this page does not promise them.
What you receive at the end
- Configured scheduling rules with legal, contractual and local constraints separated.
- Baseline comparison against your current rostering method.
- Skill and coverage gap list by station and shift.
- Scenario analysis for absence, demand change and late swaps.
- Governance proposal for rule ownership after rollout.
- Rollout design for further departments.
Dependencies, exclusions and limits
This PoC depends on
- A skill matrix that reflects who can genuinely work which station today.
- HR confirmation of the binding rules before the plans are generated.
Not included in this PoC
- Payroll integration, time-and-attendance hardware and clocking terminals.
- Any processing of identifiable personal employee data through this website.
This PoC works on anonymised workforce data only. No personal employee record is collected through the public form, and sensitive workforce data belongs exclusively in an approved project environment agreed in the scope.
Go, adjust or stop — the decision gate
Frequently asked questions
Do you need our employees’ personal data?
No. The PoC runs on anonymised identifiers with qualifications and availability attached. Names, contracts and personal records stay with you, and nothing of the sort should ever be sent through the form on this page.
How is this different from APS?
APS sequences work on machines. Labor scheduling checks that qualified people are present for that sequence. Factories that fix one and not the other usually end up with a plan that is feasible on paper and unstaffed in practice.
Can it handle our collective agreement?
The rules that can be expressed as constraints are modelled and enforced. The discovery step separates what is legally binding from what is contractual and what is custom, because the three behave differently when a plan has to be adjusted.
What counts as a fair plan?
Whatever your organisation has agreed fairness means — rotation balance, weekend distribution, overtime spread. It is defined in the discovery step and measured; a fairness claim invented after the plan was generated is not evidence.
Related products and PoC programs
Request this Proof of Concept
Tell us the scope you have in mind and we will come back with a written PoC plan: what gets connected, what you provide, how success is measured and what the decision at the end looks like.