Which type of data includes information about issues related to product manufacturing?

The correct answer encompasses a comprehensive view of data types that are essential for understanding issues related to product manufacturing. Each type of data mentioned—customer complaints, process yield, and defect rates—provides valuable insights into various aspects of the manufacturing process.

Customer complaints offer direct feedback from end-users and highlight specific problems experienced with the product, which can be crucial for identifying manufacturing weaknesses or areas needing improvement.

Process yield pertains to the effectiveness of the manufacturing process, indicating the percentage of products produced that meet quality standards. A low process yield may suggest inefficiencies or defects during production, pointing directly to potential issues.

Defect rates indicate the frequency at which products fail to meet quality standards, serving as a critical metric for quality control. High defect rates can signal systemic problems in the manufacturing process that need to be addressed to improve overall product quality.

Together, these data types provide a well-rounded picture of product manufacturing, making it clear why all of them are relevant when assessing manufacturing issues. By analyzing customer complaints, process yield, and defect rates collectively, organizations can gain deeper insights into quality problems and take informed actions to enhance their manufacturing processes.