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| Info |
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Important general rules discussed in this document that everyone should be aware of when creating dashboards:
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Table of Contents:
| Table of Contents |
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Continuous Improvement Dashboard
| Tip |
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Fixed formula: Total Scheduled Downtime Hours |
Widget affected:
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Previous incorrect:
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Updated: filtered correctly for downtime state
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FORMULA:
| Code Block |
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([Total Scheduled Hours], [ReasonState Type]) |
THEN: click on the blue [ReasonState Type] field > Filter > by only Downtime
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| Tip |
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Fixed formula: Total Downtime Hours |
Widget affected:
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Previous incorrect:
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Updated: filtered correctly for downtime state
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FORMULA:
| Code Block |
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([Total Total Hours], [ReasonState Type]) |
THEN: click on the blue [ReasonState Type] field > Filter > by only Downtime
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| Tip |
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Updated metric: ReasonState Group |
Widget affected:
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Previous incorrect:
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Updated: changed [Reason Group1] to [ReasonState Group1]
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What does this mean?
Have been informed that our customers prefer the behavior of ReasonState over Reason.
Reason = show only reasons
State = show only states
ReasonState = show reasons when available. When not available (operator did not enter a reason), then show the state
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| Tip |
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Updated table: fixed columns that were not accurate |
Widget affected:
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Previous incorrect:
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Updated:
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Columns:
ReasonState
ReasonState Occurrences
Total Scheduled Hours
Total Hours
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| Tip |
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Updated Dashboard-level filters to avoid issues with data filtering |
We’ve identified certain use cases where dashboard-level filters may inadvertently cause “No Results” to display in some widgets. More details below.
Widget affected: DASHBOARD-LEVEL FILTERS
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Updated:
Removed anything related to either Reasons (ReasonState, Scrap Reason, Reason Group, etc.)
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Rationale:
The dashboards do not appear to filter well when there are Reason or State-type filters at dashboard filter level (scrap reasons, downtime reasons, state reasons, state, reasonstate, etc.)
It is highly recommended that customers who need to filter by these should do it at widget-level
Rule of thumb for deciding when to use Dashboard vs. Widget-level filters:
Dashboard filters should stay limited to “anything not directly related to a machine’s recorded status/state/issues”
Examples of safe dashboard filters: Machine Name, Area, Plant, Shift, Calendar DateTime, Job Name, Job Filter x, etc.
Widget filters are where you can better isolate your filtered data at machine’s “activity” level
Examples of safe widget filters: ReasonState, Scrap Reason, etc. along with any other filter (Date, Shift, etc. these are always safe)
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Executive Dashboard
| Tip |
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Overhaul of dashboard – overall change to widget layout to better reflect Executive workflow, and correction of widgets, removal of duplicate metrics |
Widgets affected:
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Previous incorrect: The following rows of widgets (left to right) existed:
Row 1:
KPI Cards
Row 2:
“Machine Type Pending” text field – incorrect label, not needed
Bar chart of OEE at machine level – Machine level should not be this high up in dashboard
OEE at plant level
Row 3:
“Facilities” - a repeat of OEE at plant level
Row 4:
“Facility Production” - bar chart of total production per plant
Row 5:
“Facility Good vs. Scrap” – bar chart comparing good vs. scrap at plant level
Row 6:
“Downtime Plant level” - bar chart comparing plant and total hours – Downtime filter missing
Updated: The following rows of widgets (left to right) now exist:
Row 1:
KPI Cards
Row 2:
“Facility OEE” - bar chart of OEE per plant
“OEE Trends” - line chart of OEE, Perf, Avail, Qual %
Row 3:
“Machine level OEE”
Row 4:
“Production by Plant” - bar chart of total production per plant → includes total, good, scrap
“Production by Machine” - bar chart of total production per machine→ includes total, good, scrap
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Quality Dashboard
| Tip |
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Removed Scrap Reason from dashboard-level filter as it was causing issues, rendering widgets with “No Results” |
It is highly advised that anything related directly to a machine-level activity (e..g. ReasonState, Scrap Reason, Scrap Group, etc.) should be at widget-level filters from now on, NOT dashboard level filters.
Dashboard filters work very well with anything above the machine’s direct activity (e.g. Machine Name, Shift, Job, Job Filter, Plant, Area, Calendar DateTime, etc.)
Widget affected: dashboard filters
Previous incorrect: Scrap Reason (and in some versions, Reason Name) were present in dashboard-level filters
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Updated: Removed all instances of “Reason”s
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Production Combined Dashboard
| Tip |
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Fixed incorrect Expected Runspeed |
Widgets affected: Production Summary Table
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Previous incorrect: sum([Job Expected Runspeed]) is incorrect, should be [Average Job Rate]
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Updated: Replaced metric with [Average Job Rate]
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| Tip |
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Fixed incorrect Actual Runspeed |
Widgets affected: Production Summary Table
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Previous incorrect: sum([Total Production])/[Total Scheduled Hours], we need field for uptime hours
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Updated: Replaced metric with SUM([Total Production])/[Total Uptime Hours]
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| Tip |
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Fixed Cycle Factor in Job Summary Table |
Widgets affected: Job Summary Table
Previous incorrect: Currently, SUM([Job Cycle Factor]), should be Average job cycle factor.
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Updated: AVG([Job Cycle Factor])
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Job Variance Dashboard
| Tip |
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Brand new dashboard with all job-related variance metrics |
SLX is introducing a simplified Job Variance dashboard, which brings in the metrics customers are familiar with from the Flash report variance tables. However, it has an easy-to-understand formula structure and tool-tips for convenience, ensuring everyone understands what is going in to each calculation.
Most widgets adhere to the following structure:
Expected Job <metric>
Actual Job <metric>
Variance of <metric>
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The following primary formulas are introduced in this new dashboard:
How is Job Variance being calculated?🔎
(Expected Job Runtime + Expected Job Setup) - (Total Scheduled Hours - Unscheduled hours that contain Speedloss and Uptime)
How is Job Setup Variance being calculated?🔎
(Expected Job Setup time) - (Total Scheduled Hours during Setup state)
How is Job Runtime Variance being calculated?🔎
(Expected Job Runtime) - (Total Uptime Hours and Uptime hours during Unscheduled time)
How is Job Production Variance being calculated?🔎
Total Production including Unscheduled - Expected Job Production
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Legacy Widgets Library
| Tip |
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The most common reports from Flash reporting platform re-created in our new Analytics portal |
Shoplogix is offering transition widgets for existing customers who are used to the structure of their Flash reports. We’ve picked the most commonly used Flash tables and re-created them in our new Analytics portal.
These are not “migrated” from one platform to the new one, but rather re-created, which means some elements or widgets may not look exactly the same, but as close to a representation as possible without further custom dev work.
Example screenshot of Legacy widgets library:
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Note on these Legacy Widgets:
DEC 14, 2020:
⚠️Shoplogix does not recommend using these for new customers from Jan 2020 onward, as we don't plan to make further updates to these legacy widgets.
Instead, we recommend using our "Out of the Box Dashboards" (Production, Continuous Improvement, Quality, Executive, and Job Variance dashboards), along with our officially maintained Widget Library (which has a similar drag-and-drop "pick-your-widget" structure as this dashboard, but with updated widgets)