on Tools & Techniques

In the world of reliability and quality engineering, technical expertise and domain knowledge have always been highly valued. Engineers are expected to possess a strong foundation of technical skills to excel in their roles. However, in today’s rapidly evolving workplace, it has become increasingly evident that technical ability alone is not enough to guarantee success. The modern engineering professional must recognize and embrace the importance of soft skills to complement their analytical skills. 

In this blog post, we will dive into the significance of soft skills in the workplace and how they can enhance the effectiveness and success of reliability and quality engineering professionals.

As engineering professionals, we’re no strangers to complex problem-solving scenarios that demand rigorous analysis, innovative thinking, and efficient decision-making. Whether it’s designing new components, optimizing processes, or addressing infrastructure challenges, our success hinges on our ability to approach problems with a structured and creative mindset. 

One method that can significantly boost our problem-solving prowess is the “Six Hats Method” – a systematic approach that allows us to don different thinking hats, unlocking diverse perspectives for comprehensive and effective solutions. Let’s see how the Six Hats Method can empower engineering professionals to navigate challenges with clarity, focus, and ingenuity.

In the world of reliability engineering, ensuring the long-term dependability and safety of components is of paramount importance. Nondestructive Testing (NDT) technologies have emerged as indispensable tools for reliability professionals in various industries, including aerospace, automotive, manufacturing, and power generation. By enabling the inspection and evaluation of materials and components without causing damage, NDT techniques play a crucial role in enhancing short and long-term reliability. 

In this blog post, we will explore several NDT technologies and how they contribute to improving component reliability.

In 1956, Harvard Business Review published a landmark article by economist and business leader Armand Feigenbaum titled “Total Quality Control” that summarized the quality control system he developed during his long tenure at General Electric and gave prominence to many concepts still used in quality management today. One of those concepts was cost of quality measurement.

The goal of a cost of quality measurement system is to provide manufacturing leaders with a tool that can help drive process improvements. By understanding the magnitude and sources of their quality costs, manufacturing executives, managers, engineers, and technicians can more effectively direct their efforts, improvement strategies, and capital budgets toward reducing them.