Statistical process control (SPC) charts are crucial for process stability, especially with improved data collection. Introduced by Walter Shewhart in the 1920s, SPC uses random samples to estimate statistics and assess variation. With better data availability, techniques like the Rbar method, which estimates standard deviation using subgroup ranges, need reevaluation.
The Paris 2024 Olympics highlight global unity and the crucial role of metrology in ensuring accuracy and fairness in sports. Precise timing in events like track and swimming, accurate measurements in javelin and cycling, and monitoring environmental factors all contribute to the integrity of the Games and uphold competitive excellence.
In a world where every minute matters, a car rental turns into a frustrating ordeal of delays and inefficiencies. Will I reach my important meeting on time, or will I be exposed to the 8 deadly wastes?
Here we’ll examine challenges that the measurement environment imposes on machine vision and give approaches to mitigate the effects and retain much of the high-accuracy capability.
The first part of this three-part series covered the principles that allow machine vision to make high-accuracy measurements. This second part examines challenges that the measurement environment imposes on machine vision and gives approaches to mitigate the effects and retain much of the high-accuracy capability.
In today's competitive industrial landscape, adhering to quality management certification and audit standards is vital for consistency and excellence, especially in sectors like aviation and defense. These standards drive improvement and build customer trust. Understanding the audit process is crucial, as preparation varies by audit type, enabling organizations to effectively meet auditors' expectations.
This article shows how to make leadership aware of all costs and not just the tangible ones. It helps quality professionals to quantify the Total Cost of Quality and derive a compelling business case from that quantification.
By integrating extensive data and employing advanced analytics, digital twins help predict potential issues, optimize processes, and ensure consistent product quality.
The automotive industry is innovating to produce safer and more efficient vehicles. Quality standards are vital, as small defects can lead to serious safety issues. Digital twins and augmented reality (AR) are transforming quality management. This article explores their impact and associated challenges.
Listen to this podcast featuring Harshala Patil, a Senior Quality and Reliability Engineer. In it, she discusses her journey into quality, the significance of quality across various industries, and what attracted her to the manufacturing sector.
The techniques allowing high-precision measurements are well understood and based on solid principles. Calibration is critical to accurate measurements.
Machine vision can measure with greater precision and accuracy than human vision. This series starts by exploring techniques for high-precision measurements in vision systems. The next installments will examine challenges and solutions for maintaining this precision and accuracy. First, we'll clarify key terms related to measurement accuracy.
Batteries are key to electrification, demanding high-quality control and efficient production. The use of Automated Defect Recognition (ADR) and other technologies is critical as the industry aims to scale up to meet the rising demand from electronics, electric vehicles, and energy storage sectors, while also minimizing environmental impacts.