QAD Enterprise Asset Management BI Metrics Demonstration Guide. May 2015 BI 3.11



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Table of Contents. Table of Contents

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QAD Enterprise Asset Management BI Metrics Demonstration Guide May 2015 BI 3.11

Overview This demonstration focuses on one aspect of QAD Enterprise Asset Management Business Intelligence Metrics and shows how this functionality supports the vision of the Effective Enterprise; where every business process is working at peak efficiency and perfectly aligned to the company s strategic goals. QAD Enterprise Asset Management Business Intelligence Metrics Enabling the Effective Enterprise

Related Metrics Leveraging QAD Enterprise Asset Management to manage plant and equipment assets from inception, through operations to replacement will significantly affect Asset Utilization, Manufacturing Efficiency and Manufacturing Schedule KPIs. Typical measurements related to these KPIs include Fixed Asset Downtime, Maintenance Cost over Asset Value, and Maintenance Spend. Business Intelligence Metrics provided for Enterprise Asset Management will help you monitor these along with a number of other key metrics. Additional metrics and the relative importance of each one will depend on your definition of the Effective Enterprise. You can easily customize and extend the Business Intelligence Metrics for Enterprise Asset Management to meet your needs. Enterprise Asset Management - Metrics Related Metrics Fixed asset downtime Maintenance cost over asset value Maintenance spend Asset Utilization o o o o Fixed asset downtime Maintenance cost over asset value Maintenance spend Manufacturing Efficiency Manufacturing Schedule Standard metrics Importance varies by company

Enabling Solution Business Intelligence Metrics for Enterprise Asset Management supports improvements to these key metrics by providing standard, pre-defined dashboards for each of the critical areas, including Preventative Maintenance Compliance, Equipment Availability, Maintenance Cost, and Maintenance Backlog, Work Orders and Work Orders by Department. Business Intelligence Dashboards present this information in graphical or grid format, using color-coded visuals that focus management attention on potential issues, with drill downs into all supporting details. Enterprise Asset Management - Metrics Enabling Solution Preventative Maintenance Compliance Equipment Availability Maintenance Cost KPI Maintenance Backlog Work Orders / by Dept Metrics Dashboard Standard, pre-defined dashboards Graph or grid format Drill down to detail Customizable by user

Demonstration Summary In this demonstration, you will see how you can use Business Intelligence Metrics with Enterprise Asset Management to monitor your performance against key metrics. You will see how easy it is to use Dashboards to get an overview of your performance in particular areas, identify potential issues, and drill-down into all of the supporting details. Enterprise Asset Management - Metrics Demonstration Summary Select dashboard Monitor performance Identify issues Drill down to detail Select dashboard Monitor performance Identify issues Drill-down to detail

How QAD reduces implementation time and cost Plant Maintenance Dashboards You do not have to set up all of the Business Intelligence Metrics for Enterprise Asset Management from scratch. QAD provides a number of dashboards available for plant maintenance: Equipment Availability: identifies downtime and equipment Mean Time Between Failure (MTBF) Maintenance Backlog: measures the backlog of work, including the average days of work open at all sites Maintenance Cost: monitors maintenance cost by site and equipment, with a break down by material, labor and contractor cost Maintenance for Departments: breaks the work backlog down by site, identifying the number of work orders, labor hours and priority, along with the average days open Maintenance Work Orders: looks at service requests and work orders, breaking out work by failure type and priority Preventative Maintenance Compliance: compares preventative maintenance (PM) versus corrective maintenance (CM)activities Each of these dashboards includes a number of graphs, charts and reports that present performance in this area. Demo 1. Select Dashboard > QAD Standard > EAM - Plant Maintenance Multiple dashboards per area - Six Plant Maintenance Dashboards Graphs, charts and reports

How QAD identifies potential improvements PM Compliance Dashboard The Preventative Maintenance (PM) Dashboard includes four metrics plus year to date work order statistics reports, helping you assess proactive activity in the maintenance department as well as compliance with preventative maintenance goals. These metrics compare planned or preventative maintenance (PM) activities with unplanned or corrective maintenance (CM) activities. It also shows you a snapshot of your current backlog, comparing open PM and CM work orders. Not only does this dashboard show you at a glance how proactively your Maintenance department is performing, it can help you determine if you need to expand your preventative maintenance programs in certain areas. You can also identify trends in labor distribution and identify where you can target reductions in unplanned labor. In the most effective enterprises, the ratio of unplanned to planned maintenance will be very low. The backlog should also show a higher number of Preventative Maintenance orders versus Corrective Maintenance orders. Demo 1. Select PM Compliance Measures: o o o proactive maintenance labor trends snapshot of current backlog (PM and CM) Identifies potential improvements

Planned vs. Unplanned Work Orders You can use either of the top charts to evaluate how proactive your maintenance department is. Depending on how your maintenance department classifies work orders for example, when not all Corrective Maintenance (CM) orders are reactive - you may find that the planned vs. unplanned work order metric provides a more accurate measure of reactive versus proactive work than the PM versus CM metric. Focus on the Planned vs Unplanned WO pie chart in this example. The unplanned portion is relatively high. To get more details, just click that portion of the chart. Here, you get the number of unplanned work orders at each site for the selected year. One site seems to be the source of most of the unplanned work, so you can click that section of the pie for more details. Look at a graph of unplanned work orders by month at that site, or choose any of the related reports. You can analyze unplanned work by planner or by cost center, pointing out trends where one department or another does more or less unplanned work. Demo 1. In Planned vs. Unplanned WO Count % All Sites, double-click N (Unplanned) in Pie Chart 2. In Unplanned WO Count by Site, click 10-500

3. Click Actions > Show 4. Select Unplanned WO Count for Site Planners by Month 5. Click Business Intelligence System tab 6. In Unplanned WO Count for Site by Month, click Actions > Show 7. Select Unplanned WO Count for Site Cost Centers by Month Multiple levels of drill down; Charts or reports

Drill-down You can also review unplanned work orders by equipment type for example, Material Handling or HVAC. This report lists a summary of work orders. To drill down into more detail, just click the equipment type. This shows you each piece of equipment and the associated work orders. Another click brings up the work order detail, listing the problem, who requested the work order and when, the priority, class and who did the work. Click any work order to see the cost. If you want to do more analysis, you can download the report to an Excel worksheet or create a pdf. Demo 1. Click Business Intelligence System tab 2. In Unplanned WO Count for Site by Month, click Actions > Show 3. Select Unplanned WO Count for Site, Equip Type by Month 4. Click COVEY (or any Equipment Type)

5. Click AVGE-BOTT-003, 1.0 (or any number in the report) 6. Click Work Order 105875 (or any listed work order) Drill down for detailed analysis

How QAD reduces labor cost Planned vs. Unplanned Labor Returning to the main PM Compliance Dashboard, you can see there is another graph for Labor Distribution. This metric will help you monitor labor costs, identifying trends in labor distribution and discovering where better planning may help reduce unplanned labor. For example, here site 10-500 has more unplanned labor. As with the other charts, you can drill down multiple times to get more detail for analysis. Notice how you can take a different report in this case, Unplanned Labor for Site and Equipment Type and drill down multiple levels to arrive at the same details you did when you did the drill down in the previous example. Demo 1. Click Business Intelligence System tab (or close other tabs) to return to main PM Compliance Dashboard 2. Page down 3. In Labor Distribution for all Site, click N (Unplanned) in Pie Chart

4. Click 10-500 5. Click Actions > Show 6. Click Unplanned Labor for Site, Equip Type by Month

7. Click COVEY (or any Equipment Type) 8. Click AVGE-BOTT-003, 1.0 (or any number in the report) 9. Click Work Order 105875 (or any listed work order) Multiple levels of drill-down on each graph or chart Different ways to reach same underlying detail

How QAD improves equipment availability Equipment Availability Dashboard Equipment availability is critical to manufacturing schedule attainment. Metrics on this dashboard focus on causes of equipment downtime as well as Mean Time Between Failure (MTBF) for each piece of equipment. The Top Reasons by Downtime graph focuses attention on issues that are repeatedly causing equipment to fail. These need addressing, typically by making changes to your preventative maintenance programs. In this example, if a large number of maintenance orders have reason unknown you should correct this. MTBF identifies which equipment is failing most frequently, and then you can look into the cause of breakdowns at all sites. This type of analytical information helps you focus on the most unreliable equipment and the most frequent failures identifying equipment that you need to replace, or have preventative maintenance plans specifically designed to prevent these failures. For example, if a broken belt causes a recurring failure, setting up a preventative maintenance schedule that replaces the belt more frequently may avoid this issue. This analysis will help you move your maintenance operations from a reactive to a more preventative working environment, improving equipment availability and reducing cost. Demo 1. Click Business Intelligence System tab (or close tabs) to return to main PM Compliance Dashboard 2. Select Dashboard > QAD Standard > EAM - Plant Maintenance > Equipment Availability 3. Page down

4. In Top 10 Equipment by Avg MTBF, click AVGE-BOTT-003 5. In Arrow icon, click drop down 6. (Optionally) Select Top 10 Equipment by MTBF to return to top graph Note how easy it is to navigate Downtime by reason MTBF by site, equipment

How QAD improves maintenance service levels Maintenance Backlog Dashboard This dashboard helps you evaluate your Maintenance operations based on work order volume, labor and average work order days. Work Order Backlog Count shows the number of open work orders at the end of each period, helping you measure how well the Maintenance department is responding to work requests. Are they able to react to and complete incoming requests on a timely basis? Is the backlog growing? Is there a specific cost center or type of equipment that is getting relatively more requests? You can also review the backlog in terms of labor hours, since each open work order includes a time estimate. This lets you see at a glance if you have the appropriate number of technicians to complete the required work, and if they are at the right location. Average days open is another key measurement indicating how well the maintenance department is able to respond. Drill downs on this graph show you the underlying details. For example, what is the average age of the backlog for each type of equipment or for each cost center? This can help you determine if you are focusing on the most critical issues in your plant. Demo 1. Select Dashboards > QAD Standard > EAM Plant Maintenance > Maintenance Backlog 2. Page down

3. In WO Backlog Avg Days Open All Sites, click bar in period 9 (or any period) 4. Click period 9; 10-300(or any bar) 5. Click Actions > Show 6. Select WO Backlog Avg Days Open by Equipment for Site by Month

7. Click COVEY (or any equipment type) 8. Click AHU-FOOD-003; 100.9 Measure responsiveness of Maintenance department Labor capacity Maintenance focus

How QAD reduces maintenance cost Maintenance Cost Dashboard Controlling the cost of maintenance is also critical. Metrics on this dashboard help you pinpoint where you are spending the most money and identify unusually high (or low) costs, across any or all sites in your company. You can evaluate total spend, or break it down into component costs labor, material, contract cost by year, month and site. You can also monitor spend at each site by type of equipment, quickly identifying the equipment that costs you the most money! Demo 1. Click Business Intelligence System tab (or close tabs) to return to main PM Compliance Dashboard 2. Select Dashboards > QAD Standard > EAM Plant Maintenance > Maintenance Cost 3. Page down

4. In Top 10 Equipment by Cost, click DA-FOOD-001 Measure Maintenance spend by equipment, site Evaluate performance by site Identify high cost equipment

How QAD supports root cause analysis Drill-Down Additional dashboards help you dive into the details for example, looking at the top failures, by priority and identifying how many came from a service request. Similar to the other dashboards, you can drill into more detail. For example, you may look at failures and identify the problem equipment, or drill down to identify where your high priority calls are originating identifying trends that may suggest a need to make changes to your maintenance program. Demo 1. Select Dashboards > QAD Standard > EAM Plant Maintenance > Maintenance Work Orders Top failures Relative priority of service requests Service request count

How QAD supports continuous improvement Maintenance by Department Dashboard The final dashboard looks at the backlog, average days, and priority by department. Backlog measurements not only show you if the maintenance group is able to react to and complete incoming requests, it also shows you if there are specific cost centers or types of equipment that are generating relatively more requests than others. You can see if the backlog is growing, and if you have enough technicians to complete the current level of work. Selections at the top let you specify exactly what data you want to review in each metric. Metrics like these help you measure performance and quickly identify problem areas, helping you make decisions that support improvements across your business. Demo 1. Select Dashboards > QAD Standard > EAM Plant Maintenance > Maintenance for Department 2. In Dept, click drop-down Backlog number of work orders, expected labor hours Work order priority by department, Average days open

Reports The lowest level of drill down from a dashboard will typically be a detailed report. You can also access reports directly from the Reports menu. QAD Business Intelligence includes a variety of pre-defined reports detailed and summarized. You can use the Report Designer to modify any of these reports or add others specific to your operations. Demo 1. Highlight Report > QAD Standard > EAM-Plant Maintenance > Detail 2. Highlight Report > QAD Standard > EAM-Plant Maintenance > Summary 3. (Optionally) open any report Various pre-defined reports Can add/change reports using Report Designer

Closing In closing, Business Intelligence Metrics for Enterprise Asset Management provide you the analytical information you need to make targeted improvements improving Asset Utilization, Manufacturing Efficiency and Manufacturing Schedule attainment, while reducing maintenance cost. QAD: Enabling the Effective Enterprise! Enterprise Asset Management - Metrics Closing Fixed asset downtime Maintenance cost over asset value Maintenance spend Enabling the Effective Enterprise! o o o Fixed asset downtime Maintenance cost over asset value Maintenance spend Asset Utilization Manufacturing Efficiency Manufacturing Schedule