Difference between revisions of "Reporting"
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− | | '''[[SOP-5-I-MES0051-C_RA1_PTS_Reporting_Part_Traceability|SOP-5-I-MES0051-C RA1 PTS Reporting Part Traceability]]''' | + | | '''[[SOP-5-I-MES0051-C_RA1_PTS_Reporting_Part_Traceability|SOP-5-I-42Q-MES0051-C RA1 PTS Reporting Part Traceability]]''' |
The PTS Reporting Part Traceability module described here covers PTS modules that allow users to perform inquiries or report functions. It also contains material reports, board reports, and load material reports. | The PTS Reporting Part Traceability module described here covers PTS modules that allow users to perform inquiries or report functions. It also contains material reports, board reports, and load material reports. | ||
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− | | '''[[SOP-5-I- | + | | '''[[SOP-5-I-MES0051-C_RA1_PTS_Reporting_Part_Traceability|SOP-5-I-42Q-MES]][[SOP-5-I-MES0054-C_RA1_Shop_Floor_Report|0054-C RA1 Shop Floor Report]]''' |
The Shop Floor Report module described here collects the shop floor reports that are provided in 42Q but do not otherwise fall under the PTS Reporting Part Traceability and Report Generator. Shop Floor Report is made up of the Defect Codes, Serial Number, Work in Progress, Current Yield/Defects, Historical Yield/Defects, and Audit reports. | The Shop Floor Report module described here collects the shop floor reports that are provided in 42Q but do not otherwise fall under the PTS Reporting Part Traceability and Report Generator. Shop Floor Report is made up of the Defect Codes, Serial Number, Work in Progress, Current Yield/Defects, Historical Yield/Defects, and Audit reports. | ||
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{| cellpadding="10" cellspacing="0" style="border-style:solid; border-color:blue; border-width:2px;" | {| cellpadding="10" cellspacing="0" style="border-style:solid; border-color:blue; border-width:2px;" | ||
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− | | '''[[SOP-5-I- | + | | '''[[SOP-5-I-MES0051-C_RA1_PTS_Reporting_Part_Traceability|SOP-5-I-42Q-MES]][[SOP-5-I-MES0055-C_RA1_MESWeb_Reports|0055-C RA1 MESWeb Reports]]''' |
MESWeb Reports described here has been designed to be easy to use. The process of executing a MESWeb report involves following only a few simple steps that are described in this user guide. | MESWeb Reports described here has been designed to be easy to use. The process of executing a MESWeb report involves following only a few simple steps that are described in this user guide. | ||
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− | | '''[[42Q-MES0113-C_42Q_Live| | + | | '''[[SOP-5-I-MES0051-C_RA1_PTS_Reporting_Part_Traceability|SOP-5-I-42Q-MES]][[42Q-MES0113-C_42Q_Live|0113-C 42Q Live]]''' |
42Q Live is an update to the existing SOMS monitor with a new look and feel. In this portlet, users can view data reports to gain insight into critical lines on the shop floor. | 42Q Live is an update to the existing SOMS monitor with a new look and feel. In this portlet, users can view data reports to gain insight into critical lines on the shop floor. | ||
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− | | '''[[42Q-MES0107-CRA1_Operation_Dashboard| | + | | '''[[SOP-5-I-MES0051-C_RA1_PTS_Reporting_Part_Traceability|SOP-5-I-42Q-MES]][[42Q-MES0107-CRA1_Operation_Dashboard|0107-CRA1_Operation_Dashboard]]''' |
The Operations Dashboard provides 9 statistical charts to easily track Yield, Throughput, and Cycle Time on the production floor. Reports are configurable and able to be saved as a profile for ease of use. | The Operations Dashboard provides 9 statistical charts to easily track Yield, Throughput, and Cycle Time on the production floor. Reports are configurable and able to be saved as a profile for ease of use. | ||
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{| cellpadding="10" cellspacing="0" style="border-style: solid; border-color: blue; border-width: 2px;" | {| cellpadding="10" cellspacing="0" style="border-style: solid; border-color: blue; border-width: 2px;" | ||
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− | | '''[[ | + | | '''[[SOP-5-I-MES0051-C_RA1_PTS_Reporting_Part_Traceability|SOP-5-I-42Q-MES]][[42Q-SOP-5-I-MES0036-C_CMMS_Reports|0036-C CMMS Reports]]''' |
The CMMS Report module displays all current asset activity pertaining to a given manufacturing plant. The CMMS Report tool provides administrators an overview of asset performance to be used for data analytics. Users may search for specific reports by employing filtering parameters available in each submodule. Reports can also be exported to a spreadsheet for convenient sharing. | The CMMS Report module displays all current asset activity pertaining to a given manufacturing plant. The CMMS Report tool provides administrators an overview of asset performance to be used for data analytics. Users may search for specific reports by employing filtering parameters available in each submodule. Reports can also be exported to a spreadsheet for convenient sharing. | ||
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{| cellpadding="10" cellspacing="0" style="border-style: solid; border-color: blue; border-width: 2px;" | {| cellpadding="10" cellspacing="0" style="border-style: solid; border-color: blue; border-width: 2px;" | ||
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− | | '''[[ | + | | '''[[SOP-5-I-MES0051-C_RA1_PTS_Reporting_Part_Traceability|SOP-5-I-42Q-MES]][[42Q-SOP-5-I-MDS0029-C_CMMS_Dashboard|0029-C CMMS Dashboard]]''' |
<span id="docs-internal-guid-080812f0-140b-ac6b-83d4-6cfaea4e2bf3">CMMS Dashboard provides a dynamic visual overview of the production floor. Managers can view machine status, and repair and preventive maintenance work order details in real time according to production line and asset. Typically, Dashboard is viewed on a large screen situated directly on the shop floor. CMMS Dashboard conveys information in a visually-pleasing, simple format. Assets are color coded according to their status. Dashboard screens are accessible via URL, thus eliminating extra steps navigating the CMMS portal. Work Orders may also be created and/or modified from the CMMS Dashboard submodule when accessed via a personal laptop or mobile device.</span> | <span id="docs-internal-guid-080812f0-140b-ac6b-83d4-6cfaea4e2bf3">CMMS Dashboard provides a dynamic visual overview of the production floor. Managers can view machine status, and repair and preventive maintenance work order details in real time according to production line and asset. Typically, Dashboard is viewed on a large screen situated directly on the shop floor. CMMS Dashboard conveys information in a visually-pleasing, simple format. Assets are color coded according to their status. Dashboard screens are accessible via URL, thus eliminating extra steps navigating the CMMS portal. Work Orders may also be created and/or modified from the CMMS Dashboard submodule when accessed via a personal laptop or mobile device.</span> | ||
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{| cellpadding="10" cellspacing="0" style="border-style: solid; border-color: blue; border-width: 2px;" | {| cellpadding="10" cellspacing="0" style="border-style: solid; border-color: blue; border-width: 2px;" | ||
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− | | '''[[42Q-MES0126-C_OEE_Downtime_Root_Cause_Analysis_Report| | + | | '''[[SOP-5-I-MES0051-C_RA1_PTS_Reporting_Part_Traceability|SOP-5-I-42Q-MES]][[42Q-MES0126-C_OEE_Downtime_Root_Cause_Analysis_Report|0126-C OEE Downtime Root Cause Analysis Report]]''' |
The '''Root Cause Analysis Report''' gathers all root cause parametrics and compiles those statistics into a Pie or Pareto Chart format. Features within this submodule are similar to those in the [https://docs.google.com/document/d/1TTpN5Efb5Ao0hjdoeZTu14IMhPqLvI349ZPkAXSfQmY/edit# <font color="#1155cc"><u>OEE Downtime Problem Analysis Report</u></font>] and [https://docs.google.com/document/d/1LszmBnPhdegdy074bWTWrSCIAlcktt6J5laoKyeGZio/edit# <font color="#1155cc"><u>OEE Downtime Trend Analysis Report</u></font>] submodules. | The '''Root Cause Analysis Report''' gathers all root cause parametrics and compiles those statistics into a Pie or Pareto Chart format. Features within this submodule are similar to those in the [https://docs.google.com/document/d/1TTpN5Efb5Ao0hjdoeZTu14IMhPqLvI349ZPkAXSfQmY/edit# <font color="#1155cc"><u>OEE Downtime Problem Analysis Report</u></font>] and [https://docs.google.com/document/d/1LszmBnPhdegdy074bWTWrSCIAlcktt6J5laoKyeGZio/edit# <font color="#1155cc"><u>OEE Downtime Trend Analysis Report</u></font>] submodules. | ||
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{| cellpadding="10" cellspacing="0" style="border-style: solid; border-color: blue; border-width: 2px;" | {| cellpadding="10" cellspacing="0" style="border-style: solid; border-color: blue; border-width: 2px;" | ||
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− | | '''[[42Q-MES0127-C_OEE_Downtime_Problem_Analysis_Report| | + | | '''[[SOP-5-I-MES0051-C_RA1_PTS_Reporting_Part_Traceability|SOP-5-I-42Q-MES]][[42Q-MES0127-C_OEE_Downtime_Problem_Analysis_Report|0127-C OEE Downtime Problem Analysis Report]]''' |
From the Downtime Problem Analysis Report submodule, users run Pareto Charts and Pie Charts to analyze and capture machine downtime problems. Features within this submodule are similar to those in the [https://docs.google.com/document/d/1PYqVzXwwKrwvkVg0Lp864dQqXnBea2mPqu04CA8ylGg/edit# <font color="#1155cc"><u>OEE Downtime Root Cause Analysis Report</u></font>] submodule and [https://docs.google.com/document/d/1LszmBnPhdegdy074bWTWrSCIAlcktt6J5laoKyeGZio/edit# <font color="#1155cc"><u>OEE Downtime Trend Analysis Report</u></font>]. | From the Downtime Problem Analysis Report submodule, users run Pareto Charts and Pie Charts to analyze and capture machine downtime problems. Features within this submodule are similar to those in the [https://docs.google.com/document/d/1PYqVzXwwKrwvkVg0Lp864dQqXnBea2mPqu04CA8ylGg/edit# <font color="#1155cc"><u>OEE Downtime Root Cause Analysis Report</u></font>] submodule and [https://docs.google.com/document/d/1LszmBnPhdegdy074bWTWrSCIAlcktt6J5laoKyeGZio/edit# <font color="#1155cc"><u>OEE Downtime Trend Analysis Report</u></font>]. | ||
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{| cellpadding="10" cellspacing="0" style="border-style: solid; border-color: blue; border-width: 2px;" | {| cellpadding="10" cellspacing="0" style="border-style: solid; border-color: blue; border-width: 2px;" | ||
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− | | '''[[42Q-MES0128-C_OEE_Downtime_Trend_Analysis_Report| | + | | '''[[SOP-5-I-MES0051-C_RA1_PTS_Reporting_Part_Traceability|SOP-5-I-42Q-MES]][[42Q-MES0128-C_OEE_Downtime_Trend_Analysis_Report|0128-C OEE Downtime Trend Analysis Report]]''' |
The Downtime Trend Analysis Report submodule shows selected downtime data in a line report for administrators to analyze machine efficiency. Features within this submodule are similar to those in the [https://docs.google.com/document/d/1TTpN5Efb5Ao0hjdoeZTu14IMhPqLvI349ZPkAXSfQmY/edit# <font color="#1155cc"><u>OEE Downtime Problem Analysis Report</u></font>] and [https://docs.google.com/document/d/1PYqVzXwwKrwvkVg0Lp864dQqXnBea2mPqu04CA8ylGg/edit# <font color="#1155cc"><u>OEE Downtime Root Cause Analysis Report</u></font>] submodules. | The Downtime Trend Analysis Report submodule shows selected downtime data in a line report for administrators to analyze machine efficiency. Features within this submodule are similar to those in the [https://docs.google.com/document/d/1TTpN5Efb5Ao0hjdoeZTu14IMhPqLvI349ZPkAXSfQmY/edit# <font color="#1155cc"><u>OEE Downtime Problem Analysis Report</u></font>] and [https://docs.google.com/document/d/1PYqVzXwwKrwvkVg0Lp864dQqXnBea2mPqu04CA8ylGg/edit# <font color="#1155cc"><u>OEE Downtime Root Cause Analysis Report</u></font>] submodules. | ||
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{| cellpadding="10" cellspacing="0" style="border-style: solid; border-color: blue; border-width: 2px;" | {| cellpadding="10" cellspacing="0" style="border-style: solid; border-color: blue; border-width: 2px;" | ||
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− | | '''[[42Q-MES0129-C_OEE_Report| | + | | '''[[SOP-5-I-MES0051-C_RA1_PTS_Reporting_Part_Traceability|SOP-5-I-42Q-MES]][[42Q-MES0129-C_OEE_Report|0129-C OEE Report]]''' |
The OEE Report submodule allows users to view OEE parametrics in greater detail, according to Production Line and Machine. Available data includes: Non-Scheduled Time, Production Time, Scheduled Downtime, and Unscheduled Downtime. | The OEE Report submodule allows users to view OEE parametrics in greater detail, according to Production Line and Machine. Available data includes: Non-Scheduled Time, Production Time, Scheduled Downtime, and Unscheduled Downtime. | ||
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{| cellpadding="10" cellspacing="0" style="border-style: solid; border-color: blue; border-width: 2px;" | {| cellpadding="10" cellspacing="0" style="border-style: solid; border-color: blue; border-width: 2px;" | ||
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− | | '''[[42Q-MES0130-C_OEE_Dashboard| | + | | '''[[SOP-5-I-MES0051-C_RA1_PTS_Reporting_Part_Traceability|SOP-5-I-42Q-MES]][[42Q-MES0130-C_OEE_Dashboard|0130-C OEE Dashboard]]''' |
The Dashboard displays statistical information on machine downtime according to the following reports: OEE, TEEP, and OEE & TEEP. Charts display on a rotating basis according to preselected intervals, and are typically viewed on a large monitor located directly on the Shop Floor of the manufacturing plant. | The Dashboard displays statistical information on machine downtime according to the following reports: OEE, TEEP, and OEE & TEEP. Charts display on a rotating basis according to preselected intervals, and are typically viewed on a large monitor located directly on the Shop Floor of the manufacturing plant. | ||
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{| cellpadding="10" cellspacing="0" style="border-style: solid; border-color: blue; border-width: 2px;" | {| cellpadding="10" cellspacing="0" style="border-style: solid; border-color: blue; border-width: 2px;" | ||
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− | | '''[[42Q-MES0131-C_OEE_Machine_Event_History_Report| | + | | '''[[SOP-5-I-MES0051-C_RA1_PTS_Reporting_Part_Traceability|SOP-5-I-42Q-MES]][[42Q-MES0131-C_OEE_Machine_Event_History_Report|0131-C OEE Machine Event History Report]]''' |
The Machine Event History tool allows plants to understand machine behavior over time. By studying the data available in Machine Event History, managers can diagnose persistent problems or trends. Administrators can then adjust production to improve OEE metrics and optimize plant efficiency. | The Machine Event History tool allows plants to understand machine behavior over time. By studying the data available in Machine Event History, managers can diagnose persistent problems or trends. Administrators can then adjust production to improve OEE metrics and optimize plant efficiency. | ||
|} | |} |
Revision as of 12:56, 13 June 2018
42Q Home > Reporting
SOP-5-I-42Q-MES0051-C RA1 PTS Reporting Part Traceability
The PTS Reporting Part Traceability module described here covers PTS modules that allow users to perform inquiries or report functions. It also contains material reports, board reports, and load material reports. |
SOP-5-I-42Q-MES0054-C RA1 Shop Floor Report
The Shop Floor Report module described here collects the shop floor reports that are provided in 42Q but do not otherwise fall under the PTS Reporting Part Traceability and Report Generator. Shop Floor Report is made up of the Defect Codes, Serial Number, Work in Progress, Current Yield/Defects, Historical Yield/Defects, and Audit reports. |
SOP-5-I-42Q-MES0055-C RA1 MESWeb Reports
MESWeb Reports described here has been designed to be easy to use. The process of executing a MESWeb report involves following only a few simple steps that are described in this user guide. |
SOP-5-I-42Q-MES0113-C 42Q Live
42Q Live is an update to the existing SOMS monitor with a new look and feel. In this portlet, users can view data reports to gain insight into critical lines on the shop floor. |
SOP-5-I-42Q-MES0107-CRA1_Operation_Dashboard
The Operations Dashboard provides 9 statistical charts to easily track Yield, Throughput, and Cycle Time on the production floor. Reports are configurable and able to be saved as a profile for ease of use. |
SOP-5-I-42Q-MES0036-C CMMS Reports
The CMMS Report module displays all current asset activity pertaining to a given manufacturing plant. The CMMS Report tool provides administrators an overview of asset performance to be used for data analytics. Users may search for specific reports by employing filtering parameters available in each submodule. Reports can also be exported to a spreadsheet for convenient sharing. |
SOP-5-I-42Q-MES0029-C CMMS Dashboard
CMMS Dashboard provides a dynamic visual overview of the production floor. Managers can view machine status, and repair and preventive maintenance work order details in real time according to production line and asset. Typically, Dashboard is viewed on a large screen situated directly on the shop floor. CMMS Dashboard conveys information in a visually-pleasing, simple format. Assets are color coded according to their status. Dashboard screens are accessible via URL, thus eliminating extra steps navigating the CMMS portal. Work Orders may also be created and/or modified from the CMMS Dashboard submodule when accessed via a personal laptop or mobile device. |
SOP-5-I-42Q-MES0126-C OEE Downtime Root Cause Analysis Report
The Root Cause Analysis Report gathers all root cause parametrics and compiles those statistics into a Pie or Pareto Chart format. Features within this submodule are similar to those in the OEE Downtime Problem Analysis Report and OEE Downtime Trend Analysis Report submodules. |
SOP-5-I-42Q-MES0127-C OEE Downtime Problem Analysis Report
From the Downtime Problem Analysis Report submodule, users run Pareto Charts and Pie Charts to analyze and capture machine downtime problems. Features within this submodule are similar to those in the OEE Downtime Root Cause Analysis Report submodule and OEE Downtime Trend Analysis Report. |
SOP-5-I-42Q-MES0128-C OEE Downtime Trend Analysis Report
The Downtime Trend Analysis Report submodule shows selected downtime data in a line report for administrators to analyze machine efficiency. Features within this submodule are similar to those in the OEE Downtime Problem Analysis Report and OEE Downtime Root Cause Analysis Report submodules. |
SOP-5-I-42Q-MES0129-C OEE Report
The OEE Report submodule allows users to view OEE parametrics in greater detail, according to Production Line and Machine. Available data includes: Non-Scheduled Time, Production Time, Scheduled Downtime, and Unscheduled Downtime. |
SOP-5-I-42Q-MES0130-C OEE Dashboard
The Dashboard displays statistical information on machine downtime according to the following reports: OEE, TEEP, and OEE & TEEP. Charts display on a rotating basis according to preselected intervals, and are typically viewed on a large monitor located directly on the Shop Floor of the manufacturing plant. |
SOP-5-I-42Q-MES0131-C OEE Machine Event History Report
The Machine Event History tool allows plants to understand machine behavior over time. By studying the data available in Machine Event History, managers can diagnose persistent problems or trends. Administrators can then adjust production to improve OEE metrics and optimize plant efficiency. |