Measuring administrative work in manufacturing operations
Pyze measures planning, procurement, quality and customer service work across the enterprise applications that support them, and prices the resulting transformation agenda.
Engagement archetypes from Pyze deployments in this sector rather than a single named account.
Manufacturers have invested for two decades in instrumenting the production line, with little measurement of the surrounding administrative work. Planning, procurement, order handling and quality documentation run on enterprise applications that record outcomes but not effort.
Common Findings in Manufacturing
Four patterns that recur across engagements, each shown with the measurement and the resulting change.
Planners spend more time preparing data than using it to plan.
AutomateRetrieval and reshaping of data already held in the planning system is the largest category of planner effort.
The preparation is scheduled and the planner receives a working file, which shifts time from preparation to planning decisions.
Each site runs the same process differently and considers its variant necessary.
StandardizeProcedures are authored as one standard plus differences, so variations with a business reason can be distinguished from those that are habit.
Unjustified variation is removed and justified variation is documented, which is required before automating across sites.
Exception handling consumes the team’s time, and recurring exceptions are not identified.
AgentifyException volume is concentrated in a small number of causes, and the resolution path for each is already documented.
Recurring causes are diagnosed and resolved by an agent, and remaining exceptions reach a person with the cause attached.
Master data problems appear as downstream failures.
AutomateThe maintenance that would prevent them is rule-based and is currently performed reactively.
Reference data is maintained from the source signal instead of after a failure reveals an error.
Opportunity Register
A sample register, sorted by the lever that resolves each opportunity. In an engagement, each line carries measured hours, a named owner and the evidence it was derived from.
Systems typically instrumented
Capture covers browser-delivered and thick-client applications, including virtualized estates, with no change to how anyone works.
Roles Involved
Instrumentation is configured per application rather than per person, so the population in scope is set during scoping and is not a deployment constraint.
How an Engagement Runs
Baseline, blueprint, transform, prove
The same four stages apply in every sector. The fourth stage repeats the baseline measurement, which makes the engagement an ongoing operating capability rather than a one-time report.
Baseline
What the work costs today, measured across every person and application.
Blueprint
Procedures, application rules and execution evidence, read as one target state.
Transform
Where each of the five levers applies, priced and owned.
Prove
The after state measured against the baseline, using the same method.
Frequently Asked Questions
Our process is highly variable by site. Does that break the model?
Where does this sit against our existing process mining?
Functions
Related
Start with a measured baseline
Six weeks from instrumentation to a priced opportunity register, and the baseline stays in place so later quarters are measured rather than re-estimated.