Lalitpur Power Generation Quality Engineer Interview Questions and Answers

Kaizen is a Japanese term meaning 'continuous improvement' in processes, products, and culture within organizations.

• Originated in Japan post-World War II, focusing on efficiency and quality.

• Involves all employees, encouraging suggestions for improvement.

• Examples include streamlining workflows, reducing waste, and enhancing product quality.

• Commonly used in manufacturing, healthcare, and service industries.

A CFT audit evaluates the effectiveness of cross-functional teams in achieving quality objectives and compliance standards.

• Assesses team collaboration and communication in quality processes.

• Identifies areas for improvement in product development cycles.

• Ensures compliance with industry standards and regulations, e.g., ISO 9001.

• Evaluates the effectiveness of quality control measures implemented by the team.

• Provides feedb...read more

Poka Yoke is a quality assurance technique aimed at preventing errors in manufacturing processes.

• Reduces human error by designing processes that prevent mistakes.

• Examples include jigs that ensure parts are assembled correctly.

• Enhances product quality and reliability, leading to customer satisfaction.

• Can be applied in various industries, including automotive and electronics.

• Encourages a culture of continuous improvement

Process quality ensures consistency, efficiency, and compliance, leading to better products and customer satisfaction.

• Consistency: High process quality leads to uniformity in product output, reducing variability. For example, in manufacturing, consistent assembly line processes ensure that each product meets the same standards.

• Efficiency: Streamlined processes minimize waste and reduce production time. For instance, im...read more

Sample verification criteria ensure quality and reliability in testing processes across various industries.

• 1. Sample Size: Ensure the sample size is statistically significant to represent the whole population. For example, testing 30 units from a batch of 1000.

• 2. Random Selection: Samples should be randomly selected to avoid bias. For instance, using a random number generator to pick samples.

• 3. Acceptance Criteria: Def...read more