Link Automacao

Industrial data for decisions

Dashboard Just In Time

A clear view of the process, using data your plant already has

O Dashboard Just In Time helps you quickly see what is happening in the process, using data that often already exists in the plant but is still spread across systems, spreadsheets or operational screens.

In just a few days, Link Automação organizes production, downtime, alarms, quality, cycle time and loss information into clear dashboards that are easy to understand and focused on decisions.

Production and qualityDowntime and lossesSpreadsheets and systemsClear reading

Industrial demo

Quick operation reading

Local processing

Estimated efficiency

89% availability • 93% pace • 99% quality.

81%

Actual production

172,500 planned in the analyzed period.

160,130

Downtime

Highest impact on Tablet Press 01.

591 min

Critical alarms

Total informed in the uploaded spreadsheet.

103

More than production charts

Your team needs to know where to look first.

Many dashboards show numbers, but still leave the team with the main question: what deserves attention now? The Dashboard Just In Time starts from a simple view: industrial data should help identify losses, deviations, recurring stops and points of attention.

The proposal is to start with data that already exists, build a first view in a few days and evolve as the client validates the results. When the data allows it, indicators such as O.E.E support the analysis, but they are not the center of the solution.

01

Process efficiency

Where is production losing time, pace or quality?

02

Downtime and production bottlenecks

Which equipment, steps or shifts have the greatest impact on production?

03

Deviations and process variability

Which data points show variations that need investigation?

04

Critical alarms and recurring events

Which alarms repeat and deserve the team’s attention?

05

Cycle time and productivity

Which steps consume more time and delay production?

06

Quality, losses and rework

Where do losses, rejects, rework or deviation signals appear?

Interactive demo

Test the Dashboard Just In Time with your data

Download the template, upload a CSV file and see how production, downtime, quality and alarm data can become a management view. In this demo, the data is processed locally in the browser.

Spreadsheet demo

Test the Dashboard Just In Time with simple data

Download the template, fill it with production, downtime, quality and alarm data, and upload the file on this page. The reading happens in your browser; the file is not sent to Link.

Download template
Current file: Demo data
Use a semicolon-separated CSV. The file opens normally in Excel.

Industrial demo

Quick operation reading

Local processing

Estimated efficiency

89% availability • 93% pace • 99% quality.

81%

Actual production

172,500 planned in the analyzed period.

160,130

Downtime

Highest impact on Tablet Press 01.

591 min

Critical alarms

Total informed in the uploaded spreadsheet.

103

Efficiency composition

89%

Avail.

93%

Pace

99%

Qual.

Downtime by equipment

Tablet Press 01142 min
Coater 01100 min
Filler 0184 min
Inspection Machine 0184 min
Packaging Machine 0157 min

Main causes

Sensor failure100 min
Quality release wait84 min
Microstop83 min
Dosage adjustment75 min
Weight adjustment67 min

Actual production trend

07-0607-0507-0207-0307-0407-01

Smart data reading

The highest estimated loss is related to availability. Tablet Press 01 concentrates the largest downtime, and Sensor failure should be prioritized in the investigation.

Prioritize investigation on Tablet Press 01, which concentrates the largest informed downtime.
Validate the cause Sensor failure with production, maintenance and quality before defining corrective action.
Compare shift C with the other shifts to separate operational causes from technical causes.
Evaluate a safe access method to the real data source once the information is validated.

How it works

From existing data to the first dashboard in a few days

O Dashboard Just In Time was designed to shorten the path between scattered data and a useful view for production, quality and management.

01

Data diagnostic

We identify which information already exists: SQL databases, supervisory systems, historians, PLCs or operational files. The goal is to start with what the plant already records today.

02

Safe connection

We prioritize read-only access, taking care not to change process control or the operation’s routine.

03

Data organization

We use AI resources to speed up data reading and support the first indicators, always validated by Link.

04

Validated dashboard

We validate the numbers with the people who know the process, so the dashboard makes sense for production, quality and management.

Sources and safety

Connection to industrial data without interfering with control

The connection can be read-only, respecting the client’s policy and without changing PLC logic. The numbers are validated together with the team that knows the process.

SQL Server
Relational databases
Industrial historians
SCADA and supervisory systems
PLCs and gateways
OPC UA
Industrial APIs
CSV, Excel and legacy files

The spreadsheet demo does not replace a validated production dashboard. It is intended to quickly prove the concept of Dashboard Just In Time. The real project includes process understanding, calculation review, data validation and safe definition of access methods.

Start with the data you already have

Your plant probably already generates the data needed for the first dashboard.

O Dashboard Just In Time helps turn that data into a fast management view, with action priorities and a clear path for evolution.

Request an evaluation of my data