Supervisor Dashboards

Supervisor Menu

Precondition: To open the Supervisor dashboards select:

Supervisor from the main menu
- The Supervisor dashboards menu is opened.

Figure 1: Supervisor dashboards menu

Setup Inspection

Preconditions: To open the Setup Inspection dashboard select:

Supervisor/Setup Inspection:
- The Setup Inspection dashboard is opened

Purpose: Dashboard Setup Inspection shows information about planned set up inspections.

The information has been imported from the system SAPB1 (SAP Business 1) and visualized.

Using this dashboard quality control personel can prioritize setup inspections of the orders:

Ready for control date and time is used for prioritization

The more prioritized are inspections with greater pending time (red time with clock)

If orders waiting for control and the next operation (blue arrows) still has not started yet also should have greater priority.

If the next operation has started(blue arrows) before completion of the inspection – should have the lower priority

Figure 2: Setup Inspection dashboard

The Setup Inspection dashboard shows the following information:

The Status column gives the following information:

Result of the inspection- approved or not approved

Figure 3: Setup Inspection dashboard - Result status

Red time with clock (pending) – shows times (days hours:minutes: seconds) elapsed since the order appears in the list until the completion of the inspection
Yellow time with clock (in progress) – shows times (days hours:minutes: seconds) elapsed since the order inspection has started until completion of the inspection.
Completed – inspection has been completed. When the inspection is completed the clock before the times is removed.

Figure 4: Setup Inspection dashboard - Inspection Status

Next operation started – show blue arrows when the next operation has been started. The blue arrows remain after completion of the inspection. Sometimes is possible to start the next operation before completion of the inspection.

Figure 5: Setup Inspection dashboard - Next operation started

Figure 6: Setup Inspection dashboard - Orders ready for inspection

Order-Pos-Opr – shows order number - position-Operator
Machine – Machine name
Ready - Date and time when the order is ready for inspection
Completed - Date and time when the order inspection has been completed
Comment - Comment about inspection
Item No - Part No
Item name - Part Name
Drawing Nr - Additional identification of the part based on the Item No
Customer name - The customer name

Filtering Setup Inspections by Active only/All

Active - List shows only active inspections that are not closed
All - Shows all orders that have ever existed in the system.

Figure 7: Setup Inspection dashboard - Filtering setup inspections

There is field Filter and setup inspection could be filtered by typing part of the: Order number, Customer, part position, Item No., Item name, Drawing Nr.

Work order OEE

Precondition: To open the Work Order OEE dashboard:

As a user with role Team Leader select: Main Menu/Team Leader/Machines click on the work order link

Figure 8: Machines dashboard - Orders Details - link to orders

As a user with role Supervisor select: Main Menu/Supervisor/Order OEE
- The Work Order OEE dashboard is opened

Figure 9: Work Order OEE dashboard

Information for work orders is imported from the system SAP Business 1.

Purpose: This dashboard shows detailed information and KPIs for the selected work order and part, work order parts KPIs and average KPIs per selected part item code.

Work Order OEE information is loaded for the selected work order and the part from the filters.

Figure 10: Work Order OEE dashboard - Filters

On the dashboard are shown the following KPIs for work order and parts:

Work Order KPIs

Parts KPIs

Average KPIs per ItemCode

Additional information

Work Order

A work orders satisfy the supply-demand by either external or internal needs. They identify equipment, effort, and terms. Work orders capture data, maintain the history, and have a predefined lifecycle, which may differ from manufacturer to manufacturer. Reporting and monitoring are performed on planned vs actual for the work order. Typical attributes for a work order are:

Order Number – unique identification
Customer – the organization from which the order originates
Planned Start – the date and time when the order is scheduled to start.
Planned Stop – the date and time when the order is scheduled to complete.
Status – the status of the order
Created Date – the date the order was created in the system
Changed Date – the date the order was last updated
Actual Stop – the date and time the order was completed
Closed – the indication whether the order has been closed. The order could be closed before it is actually completed, or not closed even when completed.

Part (Position)

A Position(Part) in the work order is the identification and recipe of steps to be performed in order to produce a valuable result. Typical attributes for a work order position are:

Work order ID – reference to PWO
Position – unique ID or number of position
Name – name and description of the part produced
Quantity – number of parts that are ordered
Minimum Quantity – the minimum quantity (number smaller or equal to quantity) of good parts with acceptable quality
Drawing number – unique number that describes the origin of the part design
Created Date – the date when the record for part is created
Changed Date – the date when the record for part was last edited
Actual Stop – the date when all parts from the position on the current order are produced
Closed – identification on whether the position is closed. Position could be closed before it is actually completed, or not closed even when completed.
Good Quantity – number of part items produced with good quantity
Scrap Quantity – number of part items produced that have not passed quality control
Internal Delivery Date – date and time for internal scheduling for the manufacturer, when the position shall be closed.
Item Code – code for identification across orders which uniquely identifies the type of part

Operation

An operation on part is a step of the process to produce a part. Operations may not require machines and may not need execution for every part item. (i.e. Initial configuration is done for a single item). Typical attributes for operation are:

Order Part ID – the reference to order part
Number – unique number of the operation across a single part manufacturing process
Name – the name of operation
Planned Start – the datetime for when the operation has been planned to start
Planned Stop – the datetime for when the operation has been planned to complete
Actual Start – the datetime of actual start of the operation
Actual Stop – the datetime of actual completion of operation on all part items
Ready for Control – indication on whether the outcome from the operation is ready to be inspected for quality deviations
Control Started – the datetime when the control has started
ControlCompleted – the datetime when the control is completed
Created Date – the date when the record for operation is created
Changed Date – the date when the record for operation was last edited
Closed – identification on whether the operation is closed
Good Quantity – number of good items that have passed through the operation
Scrap Quantity – number of items that have passed through the operation that have not passed quality control
Department – the department responsible for operation execution
TypeCode – unique identification of operation for comparison across other orders and executions (i.e. the same operation shall always run the same CNC program)

Work Order OEE

The KPI Overall Equipment Effectiveness (OEE) is the gold standard for measuring manufacturing productivity. It identifies the percentage of manufacturing time that is truly productive. An OEE score of 100% means the manufacturer produces only Good Parts (100% Quality), as fast as possible (100% Performance), with no Stop Time (100%). OEE is considered the single best metric for or identifying losses, benchmarking progress, and improving the productivity of manufacturing equipment.

Figure 11: Calculation of Work Order OEE

Calculation:

Work Order OEE (%) = Availability (%) * Performance(%) * Quality(%)

Figure 12: Work Order OEE dashboard - Work order OEE, Availability, Performance, Quality

Work Order Availability

Identify machines producing parts for a particular order and then find the downtime for the interval while the machine was working on an operation for the specific order (based on the data from Downtime Tagging). Calculated only for machines registered in the system, for which there is time-tracking information in ERP. To Machine Availability

Calculation of Work Order Availability:

For each operation
- Iterate through time tracking reports and sum up time spent on operation level:
  
  OperationTimeTotal += OperationLog[i].EndDate - OperationLog[i].StartDate
- Get the machine downtime during the actual operation period and sum for all operations
  
  DowntimeTotal(WO) += Downtime.Operation[i]

Work Order Availability = (OperationTimeTotal-DowntimeTotal(WO))/OperationTimeTotal

Work Order Performance

Same as machine-level performance but calculated on all operation logs under the specific Order. To Machine Performance

Calculation steps

For each operation
- Iterate through time tracking reports and sum up time spent on operation level:
  
  OperationTimeTotal += OperationLog[i].EndDate - OperationLog[i].StartDate
- To calculate IdealTimeTotal iterate through operations details. IdealCycleTime is equal to TimePerItem.
  
  IdealTimeTotal += (TimePerItem[i] * OperationLog[i].producedQuantity)+SetupTime

Work Order Performance = (IdealTimeTotal / OperationTimeTotal) * 100;

Work Order Quality

The same as machine-level quality but calculated on all work order parts under the specific Order. We take the sum of all scrap, and the minimum good items produced by operations under the part. Then for the order we sum from all parts the total of good and total of scrap items.

The Work Order Quality is calculated as:

For each operation
- Iterate through time tracking reports and sum up logs for good quantity
  
  GoodPartsTotal += OperationLog[i].GoodParts
- Iterate through time tracking reports and sum up logs for scrap quantity
  
  ScrapPartsTotal += OperationLog[i].ScrapParts

Calculation Steps

MinGoodPartsTotal – the minimum of good parts (GoodPartsTotal) across all operation
SumScrapPartsTotal – the sum of scrap parts across all operations(ScrapPartsTotal)

Work Order Quality = (MinGoodPartsTotal) / (MinGoodPartsTotal + SumScrapPartsTotal) *100

Work Order OTD (On Time Delivery)

This KPI represents the amount of days latency from planned, which is already accumulated. The result is represented as the difference (in days) between the two dates and can be a negative or positive number.

Example for work order delivered with delays – OTD (days) is positive

Figure 13: Work Order OEE - Order details -positive OTD

Example for work order delivered before planned stop date – OTD(days) is negative

Figure 14: Work Order OEE - Order details -negative OTD

Work Order (OTD)
- For Open work orders OTD is calculated:
  OTD = today’s date- Plan stop date
- For Closed work orders OTD is calculated:
  OTD = Actual stop date -Plan stop date
Note: OTD is re-calculated for orders closed in the last 10 days, in order to avoid issues in case the Plan stop date is changed.

OTD for a work order is a positive number (days) when there are delays from planned stop date.

OTD for a work order is a negative number (days) when work order finished before planned stop date.

Work Order Estimated Remaining Work

The KPI Work order estimated remaining work represents how much of the work for work order should be remaining - 100% in the beginning and 0% at the end of the period. The calculation is based on the planned time period for production of each operation under the work order parts and the amount of time left, compared to the moment of calculation.

Figure 15: Work Order Estimated remaining work

The calculation is based on the following data for each order part under the work order:

EstimatedRemainingWorkPerPart (%) – To EstimatedRemainingWorkPerPart calculation
PartOrderedQuantity - the ordered quantity for a part.
WorkOrderTotalOrderedQuantity – the sum of all ordered items of all order parts under the work order.
WorkOrderTotalOrderedItems += Part[i].OrderedQuantity

Calculation:

For each work order part find the relative estimated remaining work, then add it to the result:

WorkOrderEstimatedRemainingWork += (((EstimatedRemainingWorkPerPart / 100) * PartOrderedQuantity) / WorkOrderTotalOrderedQuantity) * 100 (%)

Work Order Actual Remaining Work

The KPI Work order actual remaining work represents the current progress for work order and the actual remaining work in percentage based on the number of ordered items to be produced and the number of items already produced.

Figure 16: Work Order Actual remaining work

The calculation is based on the following data for each order part under the work order:

ActualRemainingWorkPerPart – To ActualRemainingWorkPerPart calculation
PartOrderedQuantity - the ordered quantity for a parts of work order.
WorkOrderTotalOrderedQuantity – the sum of all ordered items of all order parts under the work order
WorkOrderTotalOrderedItems += Part[i].OrderedQuantity

Calculation:

For each work order find the relative actual remaining work, then add it to the result:

WorkOrderActualRemainingWork += (((ActualRemainingWorkPerPart/ 100) * PartOrderedQuantity) / WorkOrderTotalOrderedQuantity) * 100 (%)

Work Order Cost Deviation

The KPI Work Order Cost deviation represents a deviation between actual time and planned time, for the work order. Fist are calculated cost deviations for operations under the part and then for all parts in the order.

Calculation:

For each operation under the part
- Calculated Operations cost deviations. See calculation of Operation Cost Deviation
For each part from the work order
- Calculated Part Cost Deviations. See calculation of Part Cost Deviation

PartCostDeviation += Operation[i].CostDeviation

For a work order
- Calculated Work Order Cost Deviation, as a sum of parts cost deviations.

WorkOrderCostDeviation += Part[i].CostDeviation

Note: The result is calculated as duration, in hours. However in Grafana this value is multiplied by the “cost per hour” variable to display the KPI value as currency (NOK kr). Cost deviations can be positive or negative.

Order Parts Progress

Figure 17: Work Order OEE dashboard - Order Part list

There is a listed table with information about details of all parts from the work order including: Number, Name of the part, Positions, Drawing Nr., Ordered quantity, Min quantity, OK quantity, Produced progress (%), Scrap quantity, Status for each part (Active or Closed)

Parts KPIs

The Part KPIs table shows information about part ID and name, position, time per item (time duration), scrap%, part cost deviation(kr), actual remaining work%, estimated remaining work%, overplanning% and avg production cost(kr).

Parts Time per item

The order part time per item is a time for producing one part through all operations for the selected order part. The KPI represents the average time used for the production of one item. The resulted value is duration, in seconds/min/hours.

Figure 18: Work order OEE - Part KPIs - Time/Item

Calculation:

The data needed for this KPI consists of:

ProductionDuration – the sum of all durations of operations (derived from operation details) under the order part.
TotalPartsProduced – the sum of good parts and the sum of scrap parts across all operations under the order part.

PartTimePerItem = ProductionDuration / TotalPartsProduced (s/min/hour)

If duration or total parts produced are equal to zero, the result is zero min per item.

Parts Scrap percentage

The KPI represents the ratio between produced scrap quantity to the total produced quantity for each part in percentage.

The scrap % for each part is visible in the table Parts KPI.

Figure 19: Work Order OEE dashboard - Part KPIs - Scrap%

The amount of produced items for the order part are based on items produced by all operations under that ordered part.

The KPI is calculated similarly to percent scrap for operation. The difference is that the number of good items in not a sum of all good items from the operations, but the minimum of good items. This means that if one of the operations produces less good items compared to the other operations, that number of items will be represented as produced good items for the order part.

Calculation:

For each part:
- GoodItems = MIN (operation’s good items)
- ScrapItems = SUM (operation’s scrap items)

PercentScrapPerPart = ScrapItems / (GoodItems + ScrapItems) * 100 (%)

Parts Cost deviation

This KPI represents the deviation between actual time and planned time, for the work order part. It is calculated first for each operation under the part.

Calculation:

For each open (ActualStop is NULL) and closed (has ActualStop time) operation:
- For SETUP operations:
  
  OperationCostDeviation = OperationDuration – OperationSetupTime
- For normal operations:
  
  OperationCostDeviation = OperationDuration - (OperationSetupTime + (TimePerItem * GoodPartsProduced))

Sum the cost deviations for all operations for the part.

PartCostDeviation += Operation[i].CostDeviation

Note: The result is calculated as duration, in hours. However in Grafana this value is multiplied by the “cost per hour” variable to display the KPI value as currency (NOK kr). Part cost deviations can be positive or negative.

To calculation of Work Order Cost Deviation

Figure 20: Work Order OEE - Part KPIs - Cost Deviation

Parts Estimated remaining work

The KPI Part estimated remaining work represents how much of the work should be remaining - 100% in the beginning and 0% at the end of the period. The calculation is based on the planned time period for production of each operation under the work order part and the amount of time left, compared to the moment of calculation.

On the panel Part KPIs are shown for each part percentage of estimated remaining work of the part.

Figure 21: Work Order OEE dashboard - Part KPIs - Estimated remaining work of the part

The data needed for this KPI consists of:

TotalPlannedTimePerPart – the sum of all planned time periods of all operations under the order part.
RemainingTimePerPart – the sum of all planned periods of all operations under the order part, excluding the time before the moment of calculation.

If the difference between Operation.PlanStop-Operation.PlanStart=0, the operation planned duration is calculated by:

OperationPlannedDuration = (TimePerItem*OrderedParts)+SetupTime

Calculation:

EstimatedRemainingWorkPerPart = (RemainingTimePerPart / TotalPlannedTimePerPart) * 100 (%)

To WorkOrderEstimatedRemainingWork calculation

Parts Actual remaining work

The KPI Part actual remaining work represents the current progress in percentage based on the number of items to be produced and the number of items produced.

On the panel Part KPIs are shown for each part percentage of actual remaining work of the part.

Figure 21: Work Order OEE dashboard - Part KPIs - Actual remaining work of the part

The data needed for this KPI consists of:

TotalItemsProduced – the sum of the total parts produced (good and scrap) of all operations under the order part.

TotalItemsProduced += Operation[i].GoodQuantity+Operation[i].ScrapQuantity

TotalPlannedQuantity – this value is calculated by iterating all operations under the order part and adding the number of ordered items for each operation. However, if the previous operation has produced scrap, then that number of scrap items is subtracted from the ordered items for the next operations. And if the operation is closed, then the number of produced items is considered to be the ordered amount of items for the next operations.
When some operations are finished (Closed=1) but other are not finished
TotalItemsNotFinishedOperations =(LastFinishedOperationGoodQuantity * NumberOfNotFinishedOperations)-ProducedQuantityOfNotFinisedOperations
When all operations are not finished (Closed=0)
TotalItemsNotFinishedOperations=(NumberOfOperations*OrderedQuantity) - TotalItemsProduced

ExpectedTotalItemsToProduce = TotalItemsProduced + TotalItemsNotFinishedOperations

Calculation:

ActualRemainingWorkPerPart = (100 – (TotalItemsProduced / ExpectedTotalItemsToProduce)) * 100 (%)

To WorkOrderActualRemainingWork calculation

Parts Overplanning

The Part Overplanning KPI shows the deviation between planned time for the execution and actual time it took for execution.

For each part is shown Overplanning KPI in percentage. Overplanning % can be positive or negative.

Negative Overplanning% means that planned time per part is less than real time for producing part of the same type.

Positive Overplanning % means that planned time per part is greater than real time for producing part of the same type.

Figure 22: Work Order OEE - Part KPIs - Overplanning%

Calculation:

For the selected part calculate the planned time per item:
- TotalPlannedDuration - the planned duration for the part
- OrderedQuantity - the ordered quantity of the part
PlannedTimePerItem = TotalPlannedDuration / OrderedQuantity (min)
For the selected part item code calculte average production time per item:
- ItemCodeDuration (min) - sum of durations for all work orders
- ItemCodeProducedParts - sum of good and scrap quantities producted for all work orders
AverageProductionTimePerItem = ItemCodeDuration / ItemCodeProducedParts (min) See calculation of Average time per item code

OverplanningPerPart = ((PlannedTimePerItem / AverageProductionTimePerItem) * 100) - 100 (%)

Parts Average production cost

Figure 25: Work Order OEE dashboard - Average Production Cost

This KPI represents the time difference between typical time per item and the current time per item for order part, multiplied by the produced items.

Note: The result is calculated as duration, in hours. However in Grafana this value is multiplied by the “cost per hour” variable to display the KPI value as currency (NOK kr).

Calculation:

Time per item is calculated per order part. See Time per item calculation
Average time per item is calculated for part item code. See Average time per item calculation

Average Production Cost = (Total Parts Produced * (Time per Item – Average Time per Item)) * CostPerHour (kr)

OTD per position(part) and OTD per department

The KPI OTD per part represents the difference in days between the actual stop date (or the current date for not closed parts) and the planned stop date for a part. OTD is equal to ‘Y’ when the order has finished before the planned stop date or ‘N’ when there are delays from the planned stop date.

Calculation:

Part (ODT)
- For Open parts OTD is calculated:
  OTD = I today’s date -Internal delivery date
- For Closed parts OTD is calculated:
  OTD = Actual stop date -Internal delivery date
Operation (OTD)
For Open operations OTD is calculated:
OTD = today’s date- Plan stop date
For Closed operations OTD is calculated:
OTD = Actual stop date -Plan stop date

*Note: Only positive OTD values are updated.

ODT per Position and ODT per Department are presented at the bottom of the Work Order OEE dashboard

Figure 15: Work Order OEE - OTD per Position, OTD per Department

Average KPIs per ItemCode

Average KPIs are calculated per ItemCode for the selected part.

Average time per item

Figure 23: Work Order OEE dashboard - Average Time per Item

This KPI represents the average time spent per produced item, across all parts with the same ItemCode, in sec/min/hour.

The data needed for this KPI consists of:

ProductionDurationOfPartsPerItemCode – the sum of production duration of all closed order parts with the same ItemCode.
TotalPartsProducedPerItemCode – the sum of all produced parts of all closed order parts with the same ItemCode.

Calculation:

AverageTimeItemPerItemCode = ProductionDurationOfPartsPerItemCode / TotalPartsProducedPerItemCode

Average scrap

Average Scrap is calculated per ItemCode. It is possible for different orders to have parts with the same ItemCode.

Figure 24: Work Order OEE dashboard - Average Scrap

The data is based on the order parts with the same item code produced good and scrap quantities. Parts are from different work orders. Only closed order parts are used in the calculation of this KPI.

Calculation:

GoodQuantity = sum of all good parts produced by order parts with the same ItemCode number
ScrapQuantity = sum of all scrap parts produced by order parts with the same ItemCode number

AveragePercentScrap = ScrapQuantity / (GoodQuantity + ScrapQuantity) * 100 (%)

Part Progress per Operation

For selected part from the filter is а shown chart with operations per part. On mouse over each operation are shown: Operation Name, Ordered Quantity, Min Quantity, OK, Scrap, Progress (%).

Figure 26: Work Order OEE dashboard - Part progress per operation

Machines Utilization

The utilization of machines used in operations of the part is presented as а flow chart. The machines are ordered per operations performed. For each machine is shown the percent of work that has been performed by the machine. If one operation is performed on two machines they are grouped vertically. Only when executing quality control (KON) it is always visualized consecutively.

Figure 27: Work Order OEE dashboard - Machine Utilization

On mouse over the machine are shown with green and red number of parts OK and scrap produced by the machine and duration of operation.

Figure 28: Work Order OEE - Machine Utilization - mouse over the machine

On mouse over the progress are shown Planned stop time and actual stop time and ODT (On time delivery) (Y/Checkmark icon (when delivery is on time) or N/Cross icon (when there are delays in delivery) and duration of the operation.

Figure 29: Work Order OEE - Machine Utilization - mouse over the machine progress

Utilization

Precondition: To open the Utilization dashboard select:

As a user with role Manager: Main Menu/Manager/Utilization
As a user with role Supervisor: Main Menu/Supervisor/Utilization
- It is opened the Utilization dashboard

Utilization is a percentage of time a machine is reporting an active state (counted statuses Active and Producing).

Downtime is a percentage of time a machine is down, reciprocal to utilization. Machine operators is possible to select a downtime reason that could be analyzed.

From the Utilization dashboard users can see:

The number of hours machines have been producing during a specific work hour and day

The number of hours the machines have been producing during a weekday and month

See the number of downtime events that occurred per department

Utilization chart with a number of hours machines worked per day by departments

Utilization chart with a number of hours machines worked for the last week

Using this dashboard supervisors or managers can make analyses about production in the factory. A utilization rate that consistently approaches 100% indicates that you’re overworking your staff, and it may be time to expand. A utilization rate that is consistently low means there isn’t enough work in the pipeline, too many hours are being wasted on non-billable administrative functions, or it might indicate that your company has too many freelancers on projects. Utilization rates that are consistently too high or too low aren’t good for your organization and typically indicate future risks.

When opening the Utilization dashboard and default time interval is “This week so far”

Figure 30: Utilization dashboard

The first heat map, Total Utilization (by day hours and weekdays) presents the number of hours the machines have been producing (counted Active and Production state) during the hours from the day (0-23) and days (Mon-Sun) of the week.

The darkest color block shows the biggest number of machine active hours. The lighestt color block shows the lowest number of machine-hours. The user can look at hourly and weekly data simultaneously and make analyses.

Figure 31: Utilization dashboard - Utilization by hours of day and days of the week

The second heat map chart, Total Utilization (by days of week and months of the year)
presents the number of hours the machines have been producing during the days of week and months of the year.

For example: when the time interval is Last 1 year, with the most dark color (biggest number of machines hours) are Wednesday from May.

Figure 32: Utilization dashboard - Utilization by days of week and months of year

The 3rd heat map chart presents the number of downtime events per department. For Departments Turning, Milling and Welding user can analyze for which type downtime (related to Man, Machine, Method of work or Materials) there are more events and to do some related actions about production organization.

Figure 33: Utilization dashboard - Downtime events per department

Heatmap charts can be filtered by Team(s), selected from the team's list.

The next Utilization chart presents aggregated hours of active machines per day during the selected time interval (counted statuses Active and Producing).

Figure 34: Utilization dashboard - Aggregated hours of active machines per day

The Utilization (week) shows the number of active machines working at the same time per hour.

Figure 35: Utilization dashboard - number of active machines working at the same time per hour

Facility

Precondition: To open the Facility dashboard select:

As a user with role Supervisor: Main Menu/Supervisor/Facility
- The Facility dashboard is opened

Purpose: Dashboard Facility shows information about parameters for different facilities e.g. –ambient, pump, water temperature, power, vibrations, etc. Data are received by the sensors attached to assets or machines.

Figure 36: Facility dashboard

Go to External Sensors dashboard

Machine sensors

Different types of sensors could be connected to the machines.

Data are received from the configured sensors or type: ReMoni, Disruptive Technology, NCD, Neuron sensors, or El-watch.

Figure 37: Facility dashboard - Pump and water temperatures

Figure 38: Facility dashboard - Machine vibrations

Go Create tags with external sensors

Equipment lockers

There are shown temperature and humidity for locker1 and locker2. There is also a graphic for Temperature and Humidity during the time. The time period can be changed from predefined intervals.

Figure 39: Facility dashboard - equipment lockers parameters

Offices

Expand the panel Offices. The panel shows graphics with temperatures in the offices during the selected time interval and Door.

Figure 40: Facility dashboard - offices temperature and door sensor

For each office is shown graphics with temperature values between min and max values for the selected time interval. Also are calculated the average value and current value.

Sensors in all offices are of type Disruptive Technologies

Go Create tags with external sensors

Weather

Precondition: To open the Weather dashboard select:

As a user with role Supervisor: Main Menu/Supervisor/Weather
- The Weather dashboard is opened

Purpose: Dashboard Weather shows information about the weather in selected town: Temperature, Wind Speed, Wind Direction, Daily Temperature histogram, Daily Wind Speed Histogram, Daily Wind Direction Histogram. The time interval can be changed from the predefined periods.

Figure 41: Weather dashboard - Weather station Drammen

Temperature and Daily Temperature Histogram

Figure 42: Weather dashboard - Temperature chart and daily temperature histogram

Wind Speed and Daily Wind Speed Histogram

Figure 43: Weather dashboard - Wind speed and Daily wind speed histogram

Wind direction and Daily wind direction histogram

Figure 44: Weather dashboard - Wind direction and Daily wind direction histogram

Wind Radar

Figure 45: Weather dashboard - Wind Radar

Register Progress

Preconditions: To open the Register progress dashboard select:

Supervisor/Register Progress
- The Register progress dashboard is opened.

Purpose: Dashboard Register progress shows information about work orders per machine, their position, operation, parts, start and end dates of the order, quantity of the good and scrap quantity. The information has been imported from the system SAPB1 (SAP Business 1) and visualized.

Using this dashboard users can filter and find information about:

All work orders per machine and how good and scrap quantity of parts are produced

Start and end dates of the orders per machine

Part name, positions, and operations of the orders

If orders are closed - Information is extracted by filtering or entering the barcode

Figure 46: Register Progress dashboard

Dashboard displays in a table the list of work orders. For each order are shown:

Order number
Position, Operation, Part Name - produced by the order
Machine - machine executed the work order
Start Date, End Date - start and end date of the order execution
Closed - Y/N – if the order is closed or not
Good Quantity - the number of good parts produced
Scrap Quantity - the number of scrap parts produced

Information for work orders can be filtered by selecting the following filters:

Figure 47: Register Progress dashboard - Filters

Work Order and type part of the work order number
Work Order Part Position and type the value
Work Order Part Name and type the part of the Part Name
Operation and type the number of operation
Machine and type the number of machine

Filtering is possible by entering barcode in the following format

Figure 48: Register Progress dashboard - Filtering by barcode

The filtered work order is listed