Difference between revisions of "Datonis Manufacturing Intelligence Beta"

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=== Getting Started ===
  
== '''<big>Contents</big>''' ==
+
==== About Datonis Manufacturing Intelligence (MInt) ====
# Getting Started
+
Datonis Manufacturing Intelligence (MInt) is a cloud-based software which transforms the organizations (Plant) manufacturing related data from heterogeneous sources to depict a comprehensive 360-degree view of the plant.
## About Datonis Manufacturing Intelligence (MInt)
+
 
## Different Aspects of MInt
+
==== Different Aspects of MInt ====
# MInt Configuration
+
The following are Datonis Manufacturing Intelligence (MInt) key characteristics:
## General Configuration
+
* Datonis Manufacturing Intelligence completely depicts the end-to-end manufacturing process
### Define Hierarchy (Department-Cell/Line)
+
* A single portal which transforms and displays data with various angles like Productivity, Quality, Energy and Work order
### Define Workcenters (i.e. Machines)
+
* Preventive Maintenence with condition-based monitoring (CBM).
### Define Shifts & Shift Plan
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* Act with real-time insight: Passing data between enterprise-level and plant floor systems to display reports, analysis, visual summaries so that from a floor manager to the plant management can take informed decisions.
### Define Preplant Downtime (Add Holidays)
+
* On-Demand Monitoring: Datonis Manufacturing Intelligence has a fluid design and adapts to the target device screen, so you can monitor machines and access reports literally on the go.
## Productivity Configuration
+
 
### Define Part and Part Quality Parameters
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=== Basic Concepts ===
### Add Operators
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### Add Tools
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==== Key Definitions ====
### Production Notification
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KPI management first starts with understanding what to measure and then how to measure. The Datonis Manufacturing Intelligence has a well-defined measurement to monitor, analyze and optimize the defined production KPIs.
### Define Downtime Reasons
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### Configure Production Alerts
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'''1) OEE''' - Overall equipment effectiveness (OEE) is a measure of how well a manufacturing operation is utilized (facilities, time and material) compared to its full potential, during the periods when it is scheduled to run.
## CBM Configuration
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* Overall Equipment Effectiveness (OEE) = Availability * Performance * Quality
### TPM Classification
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* Availability = Operating Time / Scheduled Time
### Parameter Criticality
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* Performance = (No. of parts * Ideal cycle time ) / Operating Time
### Define CBM Notification
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* Quality = (No. of good parts / Total parts produced ) * 100
### Add CBM Alerts
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## Quality Configuration
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'''2) CU''' - Capacity Utilization (CU) is the extent to which an enterprise or a nation uses its installed productive capacity.
### Configure Rejection Codes
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* Capacity Utilisation (CU) = (EWT – Planned Shut Down Time - No Demand) / EWT
### Configure Inspection Policies
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* Effective Working Time (EWT) = Total available time - Planned maintenance
# MInt Reports & Dashboards
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## Productivity Module
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'''3) EU''' - Effective Utilization = Overall equipment effectiveness (OEE) * Capacity Utilization (CU)
### Definition
+
 
### Productivity at Cell / Line
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'''4) Cycle Time''' - Cycle Time is the total time from the beginning to the end of your process including loading, processing and unloading. A Cycle is used to calculate throughput time and mostly used in discrete manufacturing.
### Productivity at Workcenter
+
* Cycle Time = Loading Time + Machine Auto Cycle + Unloading Timeline
### Productivity Analysis for Cell / Line
+
 
### Productivity Analysis for Workcenter
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'''5) Downtime''' - Total time for which machine was stopped or the product is not getting produced for a selected shift or a day
### Timeline (Gantt Chart) View
+
 
## CBM Module
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'''6) Planned Downtime''' - Downtime is caused by planned maintenance, operator leave or a holiday.
### Definition
+
 
### CBM Dashboard for Cell / Line
+
==== MInt Hierarchy ====
### Workcenter CBM Dashboard
+
To translate the present organization structure into an IIOT enabled formation; The Datonis MInt application has the following hierarchy.
#### Parameter SPC Report
+
# Department (Plant)
### Workcenter Maintenance
+
# Cell or Line (under the plant)
## Quality Module (Part Quality)
+
# Workcenter(s) (i.e. machines under a cell or a line)
### Definition
+
 
### Part Quality Dashboard
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=== Management Dashboard ===
#### Quality Parameter Analysis
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This workspace captures the productivity elements at all the Organization level. The dashboard shows summarized insights for the key KPIs like OEE, Production Quantity, CBM Alerts and Quality Alerts. This dashboard gives a bird’s eye view to the key plant stakeholders as well as executive management.
#### Quality Parameter SPC Report
+
 
## Energy Module
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This has the following sections:
### Definition
+
* Cells: This shows the combined KPIs OEE, Production Quantity, CBM Alerts and Quality Alerts.
### Energy Dashboard at Cell / Line
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* Lines: This shows the Line-level OEE, Production Quantity, CBM Alerts and Quality Alerts.
### Energy Dashboard at Workcenter
+
 
### Energy Analysis at Cell / Line
+
=== Productivity ===
### Energy Analysis at Workcenter
+
Productivity is an important aspect of Datonis Manufacturing Intelligence. It is one of the basic variables governing economic production activities. However, at the same time as productivity is seen as one of the most vital factors affecting a manufacturing company’s competitiveness.
## Workorder Module
+
 
### Definition
+
Datonis Manufacturing Intelligence portraits productivity in the following manner:
### Workorder Dashboard
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### Workorder Details
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'''Productivity- User Actions''':
 +
 
 +
The bookings are added under the Actions menu. The user can perform the following bookings under the productivity module:
 +
* Downtime Booking
 +
* Production Booking
 +
* Book Performance Loss
 +
'''[[Productivity User Actions|Learn more about Productivity user actions]]'''
 +
 
 +
'''Productivity Reports''': There are different reports covered under this:
 +
* Productivity Dashboard
 +
* Productivity Analysis
 +
* Production Timeline
 +
* Downtime Analysis
 +
'''[[Productivity Reports New|Learn more about Productivity reports]]'''
 +
 
 +
=== CBM ===
 +
Condition Based Monitoring (CBM) plays a crucial role in preventive maintenance. Condition Based Monitoring is the process of monitoring a parameter of condition in work center (vibration, temperature etc.), in order to identify a significant change which is indicative of a developing fault. Condition Based Monitoring has a unique benefit in that conditions that would shorten normal lifespan can be addressed before they develop into a major failure. Datonis Manufacturing Intelligence has a separate workspace for Condition Based Monitoring (CBM).
 +
 
 +
'''CBM- User Actions''':
 +
 
 +
'''[[CBM User Actions|Learn more about Machin maintenance]]'''
 +
 
 +
'''CBM- Reports''':
 +
* CBM Dashboard at Cell/Line
 +
* CBM Dashboard at workcenter
 +
* MTBF and MTTR Reports at Cell/Line
 +
* MTBF and MTTR Reports at workcenter
 +
'''[[CBM Reports|Learn more about Condition based monitoring reports]]'''
 +
 
 +
=== Quality ===
 +
Quality is another important aspect of production and so as of Datonis Manufacturing Intelligence. The effects of quality bottlenecks can be reflected across the entire line or cell. The continuous efforts to deliver quality products while balancing optimal throughput is an important measure to help manage manufacturing processes. Datonis Manufacturing Intelligence tries to cover the quality aspects of it from the rejection bookings and its impact can be also represented in the application in its reports.
 +
 
 +
'''[[Quality Reports|Learn more about Quality reports]]'''
 +
 
 +
Datonis Manufacturing Intelligence also has a provision to record quality samples and maintain a digital trace using Inspection Policy module.
 +
 
 +
'''[[Inspection Policy|Learn more about Inspection Policy]]'''
 +
 
 +
=== Energy  ===
 +
Datonis Manufacturing Intelligence also covers the Energy workspace with two out of the box utilities i.e. electricity and Compressed Air. If a plant uses more utilities, there is a provision to add them. This gives an overview of the Utilities configured in the Plant.
 +
 
 +
The following reports are covered under energy workspace:
 +
* Energy Dashboard
 +
* Energy Analysis
 +
'''[[Energy Reports|Learn more about Energy Reports]]'''
 +
 
 +
=== Workorder ===
 +
The Work order is another workspace in Datonis Manufacturing Intelligence. This captures the overall production happened for a Part for the planned work order. This provides a detailed view of the work order progress. Datonis Manufacturing Intelligence also allows creating the Workorder for a Part. Work order also maintains its life cycle in terms of when it is planned vs when it is completed and other aspects of it.
 +
 
 +
'''[[Workorders Workspace|Learn more about Workorders]]'''

Latest revision as of 11:14, 6 May 2020

Getting Started

About Datonis Manufacturing Intelligence (MInt)

Datonis Manufacturing Intelligence (MInt) is a cloud-based software which transforms the organizations (Plant) manufacturing related data from heterogeneous sources to depict a comprehensive 360-degree view of the plant.

Different Aspects of MInt

The following are Datonis Manufacturing Intelligence (MInt) key characteristics:

  • Datonis Manufacturing Intelligence completely depicts the end-to-end manufacturing process
  • A single portal which transforms and displays data with various angles like Productivity, Quality, Energy and Work order
  • Preventive Maintenence with condition-based monitoring (CBM).
  • Act with real-time insight: Passing data between enterprise-level and plant floor systems to display reports, analysis, visual summaries so that from a floor manager to the plant management can take informed decisions.
  • On-Demand Monitoring: Datonis Manufacturing Intelligence has a fluid design and adapts to the target device screen, so you can monitor machines and access reports literally on the go.

Basic Concepts

Key Definitions

KPI management first starts with understanding what to measure and then how to measure. The Datonis Manufacturing Intelligence has a well-defined measurement to monitor, analyze and optimize the defined production KPIs.

1) OEE - Overall equipment effectiveness (OEE) is a measure of how well a manufacturing operation is utilized (facilities, time and material) compared to its full potential, during the periods when it is scheduled to run.

  • Overall Equipment Effectiveness (OEE) = Availability * Performance * Quality
  • Availability = Operating Time / Scheduled Time
  • Performance = (No. of parts * Ideal cycle time ) / Operating Time
  • Quality = (No. of good parts / Total parts produced ) * 100

2) CU - Capacity Utilization (CU) is the extent to which an enterprise or a nation uses its installed productive capacity.

  • Capacity Utilisation (CU) = (EWT – Planned Shut Down Time - No Demand) / EWT
  • Effective Working Time (EWT) = Total available time - Planned maintenance

3) EU - Effective Utilization = Overall equipment effectiveness (OEE) * Capacity Utilization (CU)

4) Cycle Time - Cycle Time is the total time from the beginning to the end of your process including loading, processing and unloading. A Cycle is used to calculate throughput time and mostly used in discrete manufacturing.

  • Cycle Time = Loading Time + Machine Auto Cycle + Unloading Timeline

5) Downtime - Total time for which machine was stopped or the product is not getting produced for a selected shift or a day

6) Planned Downtime - Downtime is caused by planned maintenance, operator leave or a holiday.

MInt Hierarchy

To translate the present organization structure into an IIOT enabled formation; The Datonis MInt application has the following hierarchy.

  1. Department (Plant)
  2. Cell or Line (under the plant)
  3. Workcenter(s) (i.e. machines under a cell or a line)

Management Dashboard

This workspace captures the productivity elements at all the Organization level. The dashboard shows summarized insights for the key KPIs like OEE, Production Quantity, CBM Alerts and Quality Alerts. This dashboard gives a bird’s eye view to the key plant stakeholders as well as executive management.

This has the following sections:

  • Cells: This shows the combined KPIs OEE, Production Quantity, CBM Alerts and Quality Alerts.
  • Lines: This shows the Line-level OEE, Production Quantity, CBM Alerts and Quality Alerts.

Productivity

Productivity is an important aspect of Datonis Manufacturing Intelligence. It is one of the basic variables governing economic production activities. However, at the same time as productivity is seen as one of the most vital factors affecting a manufacturing company’s competitiveness.

Datonis Manufacturing Intelligence portraits productivity in the following manner:

Productivity- User Actions:

The bookings are added under the Actions menu. The user can perform the following bookings under the productivity module:

  • Downtime Booking
  • Production Booking
  • Book Performance Loss

Learn more about Productivity user actions

Productivity Reports: There are different reports covered under this:

  • Productivity Dashboard
  • Productivity Analysis
  • Production Timeline
  • Downtime Analysis

Learn more about Productivity reports

CBM

Condition Based Monitoring (CBM) plays a crucial role in preventive maintenance. Condition Based Monitoring is the process of monitoring a parameter of condition in work center (vibration, temperature etc.), in order to identify a significant change which is indicative of a developing fault. Condition Based Monitoring has a unique benefit in that conditions that would shorten normal lifespan can be addressed before they develop into a major failure. Datonis Manufacturing Intelligence has a separate workspace for Condition Based Monitoring (CBM).

CBM- User Actions:

Learn more about Machin maintenance

CBM- Reports:

  • CBM Dashboard at Cell/Line
  • CBM Dashboard at workcenter
  • MTBF and MTTR Reports at Cell/Line
  • MTBF and MTTR Reports at workcenter

Learn more about Condition based monitoring reports

Quality

Quality is another important aspect of production and so as of Datonis Manufacturing Intelligence. The effects of quality bottlenecks can be reflected across the entire line or cell. The continuous efforts to deliver quality products while balancing optimal throughput is an important measure to help manage manufacturing processes. Datonis Manufacturing Intelligence tries to cover the quality aspects of it from the rejection bookings and its impact can be also represented in the application in its reports.

Learn more about Quality reports

Datonis Manufacturing Intelligence also has a provision to record quality samples and maintain a digital trace using Inspection Policy module.

Learn more about Inspection Policy

Energy

Datonis Manufacturing Intelligence also covers the Energy workspace with two out of the box utilities i.e. electricity and Compressed Air. If a plant uses more utilities, there is a provision to add them. This gives an overview of the Utilities configured in the Plant.

The following reports are covered under energy workspace:

  • Energy Dashboard
  • Energy Analysis

Learn more about Energy Reports

Workorder

The Work order is another workspace in Datonis Manufacturing Intelligence. This captures the overall production happened for a Part for the planned work order. This provides a detailed view of the work order progress. Datonis Manufacturing Intelligence also allows creating the Workorder for a Part. Work order also maintains its life cycle in terms of when it is planned vs when it is completed and other aspects of it.

Learn more about Workorders