JD Edwards EnterpriseOne Quality Management Overview
Total Quality Management (TQM), continuous improvement, quality assurance, and quality systems are phrases that refer to the concept of measuring quality. These phrases are used in a wide variety of industries. Whether a company has an elaborate quality management system or a simple program for collecting data, the goal is the same: meeting or exceeding quality expectations in the most timely and cost-effective manner.
You can use the JD Edwards EnterpriseOne Quality Management system from Oracle to support a TQM program. This system provides an integrated, yet flexible, solution to collect, verify, and manage the data that you need to meet internal quality standards and support customer requirements.
The JD Edwards EnterpriseOne Quality Management system helps you record and manage data that relates to the material quality of the products. You can record quality test results in a consistent, controlled manner and monitor production processes to ensure product quality.
You can customize the system to meet the specific testing needs of the business by:
Setting up quality tests.
Grouping tests into specifications.
Defining which tests to perform on items for a customer.
Defining which customers require a certificate of analysis.
At user-defined points in the business cycle, you collect samples and perform quality tests. Then, you can use the JD Edwards EnterpriseOne Quality Management system to enter and review the test results for an item. An example of a test result is a 0.20 percent syrup result for a sample of a soft drink being tested for syrup concentration.
You can verify whether the material that you produce meets the specifications at different points in the business flow, such as the purchasing, sales order entry, and work order cycles. You can print test results and reports to help you make decisions and take corrective action, if necessary.
By implementing a quality management system that helps you closely monitor product quality, you can:
Reduce the costs of rework and scrap by making timely decisions about product quality.
Reduce labor costs by minimizing the time spent inspecting material, collecting data, and reworking or repairing defective material.
Reduce service trips by identifying suspect components before shipment.
Reduce material scrap costs by identifying inferior components.
Increase customer satisfaction by improving overall product quality.