> For the complete documentation index, see [llms.txt](https://linecraft.gitbook.io/ikshana-pro-knowledgebase/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://linecraft.gitbook.io/ikshana-pro-knowledgebase/product-guides/dashboards/template-dashboards.md).

# Template Dashboards

## Overview

Template Dashboards provide pre-configured analytical views built around common manufacturing performance indicators and operational workflows.

<figure><img src="/files/03O1aN7BjMx2uT7kK0dV" alt=""><figcaption></figcaption></figure>

Rather than creating visualizations from scratch, users can leverage standardized dashboard templates designed to monitor production efficiency, equipment reliability, quality performance, and operational losses.

These templates accelerate dashboard deployment while ensuring consistent KPI interpretation across lines, shifts, and facilities.

> *Template Dashboards are particularly valuable for organizations looking to establish a common reporting framework across production teams.*

## Available Dashboard Templates

{% stepper %}
{% step %}

### OEE Trend

<figure><img src="/files/vNmI38T7whWasqJlnlZI" alt=""><figcaption></figcaption></figure>

The OEE Trend template tracks Overall Equipment Effectiveness over a selected period and compares actual performance against target values.

> *Supports monitoring of manufacturing effectiveness and helps identify periods of reduced operational efficiency.*
> {% endstep %}

{% step %}

### JPH Trend

<figure><img src="/files/wRVdaNkbF0lfJEn9x30Y" alt=""><figcaption></figcaption></figure>

The JPH (Jobs Per Hour) Trend template provides visibility into production throughput and the factors contributing to throughput losses.

In addition to JPH performance, the dashboard highlights:

* Average JPH
* Availability losses
* Performance losses
* Quality losses

> *Helps teams understand whether throughput reductions are driven by downtime, speed losses, or quality-related disruptions.*
> {% endstep %}

{% step %}

### On-Shift Good Part Production

<figure><img src="/files/EorbdMZVeWo6aJgHa23n" alt=""><figcaption></figcaption></figure>

This template tracks the number of good parts produced during configured shift schedules and compares actual production against target output.

> *Provides real-time visibility into production attainment and helps supervisors identify potential output shortfalls before shift completion.*
> {% endstep %}

{% step %}

### Overall Production

<figure><img src="/files/3GSB8hYY7siQ3CWdMy4l" alt=""><figcaption></figcaption></figure>

The Overall Production template tracks total production volume, including both good and bad parts, against planned production targets.

> *Helps teams evaluate production volume trends and understand overall manufacturing output performance.*
> {% endstep %}

{% step %}

### Downtime vs Uptime

<figure><img src="/files/5lV5FbkAOdRmcSsBUVyx" alt=""><figcaption></figcaption></figure>

Available in both machine-level and cell-level variants, this template compares productive operating time against downtime duration.

The visualization highlights:

* Total uptime
* Total downtime
* Asset availability patterns

> *Provides visibility into equipment utilization and helps identify assets experiencing excessive downtime.*
> {% endstep %}

{% step %}

### JPH Time Series

<figure><img src="/files/SCPCL5B5BOX43d7Dmb9l" alt=""><figcaption></figcaption></figure>

Available at both machine and cell levels, the JPH Time Series template provides detailed throughput analysis across production assets.

The template includes:

* Average JPH
* Availability loss contribution
* Performance loss contribution
* Quality loss contribution

> *Helps identify where throughput losses originate and supports targeted production improvement initiatives.*
> {% endstep %}

{% step %}

### OEE Time Series

<figure><img src="/files/vf29eYj7rzgzwLlEwdsp" alt=""><figcaption></figcaption></figure>

Available at both machine and cell levels, the OEE Time Series template provides a detailed breakdown of equipment effectiveness.

The template visualizes:

* OEE
* Availability
* Performance
* Quality
* Target OEE

> *Supports deeper investigation of efficiency losses and helps teams understand which OEE components are contributing to reduced performance.*
> {% endstep %}

{% step %}

### MTBF Time Series

<figure><img src="/files/pAGiTeKR7dQecnfOF7Up" alt=""><figcaption></figcaption></figure>

The Mean Time Between Failures (MTBF) template tracks the average operating duration between consecutive equipment failures over time.

> *Provides insight into equipment reliability and helps maintenance teams identify deteriorating asset performance.*
> {% endstep %}

{% step %}

### MTTR Time Series

<figure><img src="/files/5jbAZgKRBzusbGI3jNpZ" alt=""><figcaption></figcaption></figure>

The Mean Time To Repair (MTTR) template tracks the average duration required to restore equipment following a failure event.

> *Helps evaluate maintenance responsiveness and identify opportunities to reduce equipment recovery times.*
> {% endstep %}

{% step %}

### Bad Parts Pareto

<figure><img src="/files/SCRgmjHtukbIfl4jKqkf" alt=""><figcaption></figcaption></figure>

The Bad Parts Pareto template visualizes quality losses and highlights machines contributing most significantly to bad part production.

> *Enables quality and production teams to prioritize corrective actions on the machines responsible for the majority of bad part production*
> {% endstep %}

{% step %}

### Bottleneck Impact

<figure><img src="/files/l5q645mU23nMhSKM2lTC" alt=""><figcaption></figcaption></figure>

The Bottleneck Impact template quantifies the effect of bottleneck machines and cells on availability, performance and stability

> *Helps teams identify the assets most responsible for constraining production capacity and prioritize improvement initiatives that maximize throughput gains.*
> {% endstep %}
> {% endstepper %}

## Operational Outcome

Template Dashboards provide a standardized foundation for manufacturing performance analysis.

By combining commonly used KPIs, reliability indicators, throughput metrics, and quality measurements into ready-to-use analytical views, they enable teams to accelerate operational reporting, maintain consistency across production environments, and focus on identifying improvement opportunities rather than building dashboards from scratch.