Operational solution

How can managers see production status across shifts?

Production visibility comes from agreed events and definitions, not a screen alone. Capture status close to the work, attach product, line, shift, and timestamp context, validate exceptions, and publish freshness and reconciliation information with each view.

Discuss your operation Explore solutions

Diagnose

Recognizable symptoms

The problem often appears in several places at once.

Status calls interrupt shifts

Reports arrive after the daily meeting

Dashboard totals differ from ERP or supervisor records

Managers see totals but not blocked actions

Diagnose

Likely underlying causes

Confirm causes through observation and records before selecting technology.

No shared status or cutoff definition

Source events are late or incomplete

Context such as product and shift is missing

Dashboards hide data quality

Diagnose

A proposed workflow

The sequence below is a starting design, not a claim about the current operation.

01
Identify the decisions and update frequency neededDefine evidence and the exception path
02
Define status, downtime, output, and quality fieldsDefine evidence and the exception path
03
Collect from approved systems or structured entryDefine evidence and the exception path
04
Validate and route missing or conflicting eventsDefine evidence and the exception path
05
Publish role-specific status and exceptionsDefine evidence and the exception path
06
Reconcile to the agreed system of recordConfirm ownership and handover

Design

Data inputs

Use the minimum information needed and define its source and retention.

Reference	Input or decision to establish
01	Schedule, work order, line and shift
02	Output, scrap, downtime and quality status
03	Event timestamps and correction history
04	System freshness and integration health

Design

Human responsibilities

Automation routes information; accountable people retain operational decisions.

01Operations owns status definitions

Use a representative example to confirm the cause, owner, decision rule, and exception path.

02Shift roles resolve entry exceptions

Use a representative example to confirm the cause, owner, decision rule, and exception path.

03Quality owns release decisions

Use a representative example to confirm the cause, owner, decision rule, and exception path.

04IT/data owners maintain interfaces and definitions

Use a representative example to confirm the cause, owner, decision rule, and exception path.

Design

Exception handling

The exception path is part of the workflow, not an afterthought.

Stale data is labeled, never shown as current

Unreconciled totals remain visible as exceptions

Late corrections retain original and corrected timestamps

Connectivity loss invokes buffering or manual fallback

Measure

Measures of success

Baseline each definition and compare like-for-like periods.

Report latency after cutoff

Records passing validation

Time spent assembling reports

Exceptions with assigned owner

Measure

Limitations

Better visibility does not itself increase output. The process must act on the exceptions and compare performance under like-for-like conditions.

Buying questions

Questions to resolve before work starts

These answers establish a practical default. Actual scope follows the systems, process, data, risks, and responsibilities in view.

01Can this work with our existing systems?

Usually, but compatibility must be confirmed. We first identify supported interfaces, data ownership, update frequency, security constraints, and failure behavior. Where a direct connection is unsafe or unavailable, a controlled file exchange or staged replacement may be more appropriate.

02What happens when an automated step fails?

The design should make failures visible, retain the source record, route the item to an owned exception queue, allow authorized correction, and preserve an audit history. A workflow is incomplete until its exception path is tested.

03How do we know whether the work is worthwhile?

Agree the metric, definition, baseline period, comparison conditions, data source, owner, and review date before changing the workflow. Released capacity is reported separately from cash savings, and operational outcomes are not attributed to software without comparable evidence.

04How are scope, timeline, and price determined?

They depend on process variation, systems and interfaces, data condition, security requirements, testing effort, number of sites, training, and support boundaries. Discovery produces an evidence-based scope rather than an unsupported fixed promise.

Start with one process

Which workflow currently costs your team the most time?

Bring one normal example and one exception. Use them to frame the systems, decisions, controls, and evidence a sensible next step needs.

Discuss your operation

Recognizable symptoms

Likely underlying causes

A proposed workflow

Data inputs

Human responsibilities

Exception handling

Measures of success

Limitations

Questions to resolve before work starts

Related routes through the site

Services

Resources and tools

Illustrative scenarios

Which workflow currently costs your team the most time?