Interim Quality Management
Our interim quality management specialists handle all aspects of quality procedures, systems, controls, monitoring, updating, documentation and training. Interim quality management responsibilities will major on quality compliance of the goods and services supplied by the company, to deliver the company's quality strategy. An interim quality management assignment will typically involve delivery of these objectives:
- Defining a quality policy, leading to production of the company's quality manual.
- Obtaining regular approval of quality procedures and documentation from the external auditors and the client's auditors.
- Disseminating / publishing quality information to company personnel.
- Enforcing company quality standards including development and implementation of in-company training.
- Providing a pro-active service to customers, including responding quickly to non-compliant incidents and resolving these to the customer's satisfaction.
Interim Quality Management - Quality Standards
ISO (International Organization for Standardization) is the world's largest developer of standards. In 1987, ISO created the ISO 9000 series of standards for management of quality. These standards were revised in 1994 and again in 2000 (ISO 9000:2000 series). The ISO standards are intended to certify the quality management processes and the systems used within a company, but not the product or service quality. Recently, ISO released the ISO 22000 standard, being a single standard for the food industry.
Interim Quality Management - Quality Control Techniques
A number of tools and techniques are available to the quality management team to enable personnel to ensure effective monitoring and compliance with quality standards. These include:
Interim Quality Management - Tools
Seven Basic Quality Tools
These are the most fundamental quality control (QC) tools. They were first enunciated by Kaoru Ishikawa, professor of engineering at Tokyo University and the father of quality circles.
The seven basic quality tools are:
- Cause-and-effect diagram (also called Ishikawa or fishbone chart).
- Check sheet, being a structured, prepared form for collecting and analysing data.
- Control charts/graphs used to study how a process changes over time.
- Histogram, for showing frequency distributions for sets of data.
- Pareto chart - to show on a bar graph which factors are more significant.
- Scatter diagram, used to graphically plot numerical data, to look for a relationship.
- Stratification chart (flowchart or run chart) to identify patterns in data.
Statistical Process Control
Statistical Process Control (SPC) is used to monitor, control and improve a process through statistical analysis. With SPC, sampling is done frequently, which increases the possibility of finding a process problem early i.e. in time for corrective action to be taken.
Six Sigma
Six Sigma is a data-driven approach and disciplined methodology for defect elimination down to a limitation on the production process, which must not produce more than 3.4 defects per million parts. Six Sigma method focuses on compliance through application of improvement projects.
