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Enterprise Quality

Discrete Manufacturing is often characterized by limited volume and very high complexity. New markets, new materials, and new technologies require a sustained increase in plant-efficiency and productivity as well as extreme flexibility in all manufacturing processes. Critical for these industries is the ability to improve production quality and time-to-market speed while cutting costs.

Product quality governs the success of manufacturing companies. Efficient quality management leads to a sustainable reduction in costs and facilitates the development of first-class products with a high degree of customer satisfaction.

It is often said that quality is the responsibility of everyone, and the empowerment and engagement of people is crucial for success. Establishing and continuously improving cross-functional processes is essential for breaking down siloes and avoiding sub-optimization. To support both people and process, the right set of tools also needs to be in place for an efficient and cost-effective operation delivering high-quality products and services that meet and exceed customer expectations.

We can help you achieve your quality visions and to achieve operational excellence with a best practice solution for all quality-related activities and techniques in development, production, and service.


Quality Planning

Quality Planning

Setting goals for quality is a must, but equally important is planning how to reach those goals. Quality should be planned in. Thus, you need to build a systematic process for including all necessary activities in your development process to secure quality requirements are considered from the start. And you also need to plan the actions necessary to demonstrate compliance with quality requirements.

This systematic approach increases product quality, improves customer satisfaction, and shortens development time.

Quality Execution

Quality Execution

Manufacturing is a highly demanding industry that does not spare the occurrence of errors in any form at any stage of the manufacturing value chain. Driving data collection with a robust control plan, helps secure that any deviations from quality requirements are captured in incoming goods inspections, in-line inspections and final inspections.

Acquisition of quality data can be done in many ways and by both man and machines. Automated and semi-automated data acquisition is a rising trend, as manufacturing companies invests in connected machines. Legacy quality systems may not be up to the task, and a disparity will emerge between legacy and cutting-edge quality systems.

Quality Improvement

Quality Improvement

Every manufacturing company strives to eliminate errors at all stages of the manufacturing value chain. However, even with careful planning and execution aimed at minimizing issues and defects, things could still go wrong from time to time. When they do it is important that lessons learned are used to evolve and continuously improve both processes and products. 

To succeed it is necessary to be able to raise issues from anywhere in the process and feed it back to the right resources in an efficient way. Then find the root causes and take preventive actions to achieve change and drive continuous improvement.

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