PeopleSoft Quality Features

Today, quality professionals deal with competitive pressures to reduce costs, implement international standards, continuously improve processes, and satisfy customers. Quality helps you effectively collect and interpret quality information, helping you reduce scrap, rework, and repairs. Using Quality, you can maintain control of processes, automate labor-intensive tasks, improve communication within the supply chain, and accelerate ISO 9000 family certification.

The application combines online SPC data collection with a relational database for quality analysis. Statistical Quality Control tools help you access and analyze critical quality characteristics. The tools provide an intuitive environment to create what-if scenarios without altering the original data.

Billions of dollars a year are wasted due to poor quality. In less demanding organizations, the cost can be five percent of sales, while others incur up to forty percent of sales. Most costs can be attributed to excess variation in processes and products. But there is also a cost associated with reducing variation. These costs are distributed among four major categories:

• Detection

• Internal failure

• External failure

• Prevention

In general, these are the costs associated with producing, identifying, avoiding, or repairing products that don't meet requirements.

While Cost Management can help you capture and analyze the cost of quality, Quality can help you avoid these costs. Quality enables you to reduce process and product variation with advanced control charting methods, Pareto analysis, distribution assessment, and process capability evaluations.

The ISO 9000 global standard has created an enormous need to organize, structure, control, and communicate all facets of the quality system. Quality, combined with Manufacturing, Inventory, and Purchasing, facilitates the organization and maintenance of the quality information system (its structure, control plans, and key documentation) throughout the enterprise. Online access and review of these details improves communication, reduces procedural errors, and contributes to a successful audit of overall quality effort.

When integrating inspection procedures, operation instructions, and other controlled documents, Quality provides an environment for manufacturing consistency and continuous improvement by:

• Documenting statistically significant changes in the manufacturing process.

• Automatically assessing control violations with immediate notification to operators.

• Electronically distributing violations internally or to the extended enterprise (suppliers or customers) using intelligent Workflow agents.

When an out-of-control condition is determined, Quality provides the tools to view the condition, indicate probable causes, and take corrective actions. This information is then tied to the event and, specifically, to the point on the control chart. Additionally, each point (subgroup) on the control chart contains a complete history of traceability data, such as supplier ID or serial ID.

When you receive items on a purchase order or a Return Material Authorization (RMA), Quality provides integration with Purchasing and Inventory to assist in monitoring and inspecting the quality of the item being received or returned.

Throughout the environment, you use advanced security and audit tools to restrict user access and maintain database integrity. In addition to the network, database, and PeopleTools online security, Quality provides audit-trail information for critical areas of the quality management process, including control-plan modifications, data-entry events, control-test violations, specification limit changes, and control limit changes.

This diagram illustrates how the functions and features within Quality (characterize, stabilize, maintain, and improve) help you meet the requirements within a continuous improvement model:

This diagram illustrates how the functions and features within Quality.

This model incorporates four main continuous activities. Each activity validates the previous activity.

With Quality, you can manually gather any combination of variable and attribute data using point-and-click pick lists for traceability items. Characteristics can have different subgroup sizes, control charts, and control rules, all within the same data-entry session. During data entry, characteristics can also be derived. For example, you can enter measurements for two characteristics (width and length) while a third measurement (area) is automatically calculated using a predefined formula; for example, width * length.

Quality also offers an XML-based publish and subscribe architecture to automatically collect data from any measurement device or electronic data-collection system.

As soon as you enter data, Quality evaluates it for specification and control-chart violations. You can instantly view the charts or graphics anytime during the data-collection process. Control violations can also be routed to offline personnel, who can review the data and chart information and determine if support action is necessary.

You use Quality to configure the quality-control environment by identifying each process control and data-collection point. To configure what you want to control and how you want to control the process:

1. Define quality control requirements.

   Quality functions determine which fields are available for data entry or query. They also provides parenting for related process hierarchies and their associated streams. When defining the quality function, you determine the trace and hierarchy fields that are common to that quality application or functional area. When recording inspection data against a sampling, hierarchy fields determine the data that you are entering sampling results against. You use trace fields to enter traceability information, such as the lot number associated with that sampling.

   Measurement plans represent groups of characteristics that form measurement criteria for inspection and control. When defining characteristics for a measurement plan, you determine the properties of the characteristic being measured, the subgroup size, how to display the data on charts, and the quality control rules to apply for each characteristic.

   Control plans bring together application, measurement, and control-and-response criteria for a specific product and process. Up until this point, all elements of configuration that you have established haven't been applied to a specific process. The control plan provides the remaining element of configuration, defining the process and applying methods of inspection and control to that process.

   When defining a control plan, you reference a quality function that indicates the fields to display as hierarchy fields on the plan. Then, for each individual hierarchy field combination, you define the measurement plan that applies.

2. Construct control charts.

   Quality includes standard control charts you use to define specialized charts with formulas, labels, and test zones. Each component of the chart can contain requirements. For example, the point on the chart can be subtracted from the nominal specification value before being plotted, or control limit formulas may contain a special constant to achieve 2.5 sigma control limits.

3. Create diverse control rules.

   If the organization has unique or non-standard procedures for evaluating process control or limit calculations, you can define these same procedures within Quality.

   You can create control tests from Shewhart prototypes and selectively apply the tests to mean or variance charts. The tests are evaluated when performing data-entry functions. You can control the sensitivity of each test by specifying the number of points to be evaluated and the number of points in the pattern required to trigger a violation.

   You can also employ a three-level phased approach for establishing control limits by setting them to automatically calculate at 10, 20, and 30 subgroups. This gives the operation a moderate level of control at 10 to 29 subgroups and fixed control at 30. You can also automatically recalculate at a specified point interval.

Using Quality, you can view control charts, histograms, Pareto charts, and more. In addition, you can assemble a variety of graphics, charts, and statistical tables for reports and documents. Use the extraction process to build reusable queries that produce a concise dataset automatically filled with the appropriate control limits, specifications, and other relevant quality information. Along with the sorting and filtering capabilities for defining an extraction, you can also use mechanisms built directly into the analysis tools to explore the dataset.

You can perform offline interactive analysis in the Quality application client. The Quality application client is an analytical software service module that enables you to display, manage, and analyze quality data. Using the application client, you can create datasets and export results directly into spreadsheets to further analyze process data.

You can use a dataset created by extracting data from the database, and you can add more data, modify existing data, or delete data in a what-if scenario. For example, to see results of a new sampling or control scheme, you can change information locally in a control chart and examine the results. Based on the results, you can put the new process into active production or discard the dataset. The results are never written to the database, but you can save them to a file.

These options are instantly available using buttons on the Quality application client toolbar:

• Control chart

  Provides charts for variable and attribute data, including XB/R, XB/s, X/MR, p, u, c, and np. You can build additional control charts, such as precontrol or hybrid. Functions and display settings include selecting chart points, sweep points for details, display alarms, and change control limits.

• Histogram

  View the distribution of the data, view key statistics, test for normality, and apply Pearson criteria for non-normal distributions. You can select cells, display box plots, sweep cells for boundaries, count, and percent, display curve fits, and overlay specifications.

• Pareto chart

  View the top defects, probable causes, corrective actions, or control test violations. You can use filtering and redraw options to display cumulative percentages, display top n cells, order cells, and display cell totals.

• Bar graph

  Compare statistical values among multiple characteristics. You can group the characteristics by machines, work centers, stations, or other components, for unique within-process comparisons. You can view the results in ascending or descending order and mark the minimum and maximum bars and set scales.

• Box plots

  Compare several distributions simultaneously. You can view data by Box and Whisker plots, boxed capability graphs, or simple minimum/maximum plots. You can also display statistical summaries, overlay six sigma regions, and modify graphic scales.

• Line graph

  Overlay up to six lines of data in one display. You can also connect lines, observe for trends, sweep points for details, and display symbols.

• Statistical Matrix

  Displays information about the dataset. With the statistical matrix format, you can view tabular-formatted statistics related to one or more subsets of the dataset.