An organization develops a new strategic plan and seeks ways to improve process performance by reducing variation to only 3.4 defects per million process outputs. Which tool can the organization use to meet this goal?

Statistical process control (SPC) is a technique used to monitor and control processes through statistical methods. While SPC helps identify variations in process performance, it does not provide a comprehensive framework for achieving the rigorous defect reduction goals set by Six Sigma. SPC can be a component of a Six Sigma initiative but is not sufficient on its own to achieve the desired defect rate.

Linear programming is a mathematical optimization technique used to maximize or minimize a linear objective function subject to constraints. While useful for resource allocation and optimization problems, it does not specifically address process variation or defect reduction, making it unsuitable for the goal of achieving low defect rates in process performance.

Just-in-time (JIT) is an inventory management strategy aimed at reducing waste and improving efficiency by aligning production closely with demand. Although JIT contributes to overall process efficiency, it does not directly focus on reducing defects or managing variation in processes, which is essential for achieving the specific goal outlined.