Surface Defects compromise the quality and performance of the final product. They can be a reason for safety issues and can cause significant losses. Additionally, defects also result in disruptions like rework, wastage of valuable resources, effort, and finally, loss of productivity. To understand how defect detection, as part of quality management, is related to productivity, let us understand the importance of Productivity.
What is Productivity? And Why is it Important?
Ryan Fuller provides an interesting input – “At the most basic level productivity is the amount of value produced divided by the amount of cost (or time) required to do so.”
The crucial elements of a successful company are productivity, profitability, and customer satisfaction. Stellar productivity results in a positive impact on the remaining two elements. Productivity is a measurement to determine the efficiency of an organization.
Improved productivity is a result of methodical planning, wherein poor processes are discarded, and new approach and technology are leveraged.
Productivity growth is vital for a firm as it proves it can meet the obligations of stakeholders and regulators and remain competitive and profitable in the market.
Surface Defect Detection and Quality
In the industrial world, Surface Defect detection has a significant impact on the quality and productivity of an organization. To overcome the apparent limitations of manual inspection, automatic surface defect detection based on machine vision has come into existence. Manual Defect detection methods are time-consuming and are affected by subjectivity and varying efforts of the quality inspector.
With the rapid development of computer technology and machine vision- machines with intelligent Surface Defect Detection algorithms based on Artificial and Machine intelligence are being implemented across the world. Algorithms based upon image structure features mainly detect the surface defects by analyzing the texture, skeleton, edge, and spectrum of the image that have proven to be extremely efficient in SDD.
Every organisation has invested significantly in quality control. The total cost of quality can be divided into the following categories:
- Internal Failure Costs – Costs incurred before the delivery of a finished product to a client, e.g., production disruption.
- External Failure Costs – Costs incurred after the delivery of a product to a client, e.g., Rejections, returns.
- Appraisal Costs – Costs incurred to determine the conformance/inspection costs to meet a quality standard.
- Prevention Costs – Costs incurred to maintain consistency in quality.
All the above four categories add to the cost of products affecting its viability and competitiveness in the market. Therefore, business managers need to achieve high quality without going overboard with the investments.
Deriving high value from QC costs has become possible with automated quality check systems like SDD optimizing quality control costs
Role of Quality in Productivity.
Improve quality to improve productivity – a popular adage and a working principle of quality professionals.
Quality control (QC) is a process through which an organization seeks to achieve conformance to set international or government standards. With high quality, costs decrease due to lesser rework, fewer delays and snags, optimized use of machine time, and effort. Another role of QC is to achieve consistently high quality. To achieve this, it’s important to study and research multiple data points to arrive at optimized processes. Gathering data is not an easy function. Quality professionals need to install checks and reviews at almost every point of the production process. This means that first, the data gathering process must be precise then further analysis can take place. As the requirements are, demanding, and exhaustive, the entry of high-end technology tools in playing a crucial role is quality control was apparent.
Assured good quality is a game-changer for any business. To achieve consistent high quality, an organization needs to implement effective processes and leverage modern technology
Griffyn, a partner in achieving high quality…
Griffyn Robotech has developed non-destructive testing solutions, Vision solutions, Inspection automation, Robotics, Industrial Automation, Smart IoT solutions and Industry 4.0 implementation. Griffyn’s products:
DEEPSIGHT is a cosmetic grading machine created for mobile phones and tablets. It has proven its capabilities in the grading of electronic products in forward and reverse logistics.
OPTIVITY leverages advanced image processing capabilities and machine learning to detect surface anomalies invisible to the human eye.
Both these products are making their mark felt across various sectors with quite a lot of positive reviews and recommendations.