In line balancing, takt time represents the pace required to meet customer demand. To find the work content of a station as a percentage of takt time, divide the station's cycle time by the takt time and multiply by 100.
From the chart, takt time is 30 units and Station 3 has a cycle time of 20 units. Therefore, the percentage is 20
÷ 30 × 100 = 66.67%, which rounds to 67%.
This is an Improve Phase concept because line balancing is used to redesign work allocation so that stations are better aligned with demand and flow. A station operating at 67% of takt time has unused capacity relative to customer demand, meaning it is not a bottleneck. In contrast, stations above takt time would constrain throughput and require balancing action. Black Belts use this kind of analysis to identify imbalance, redistribute work, reduce waiting, and improve flow efficiency. The chart shows that Station 3 is below takt and therefore has capacity available. Therefore, the correct answer is C, 67%, because Station 3's work content is two-thirds of the takt requirement.

The correct answer is C. TPM . The CSSBB source states that Total Productive Maintenance (TPM) promotes coordinated group activities for greater equipment effectiveness and lists as a key feature "efforts to maximize equipment effectiveness" along with "a system of productive maintenance for a machine's life span." That wording matches the question almost exactly. TPM is not just a metric or housekeeping method. It is a broad maintenance system involving operators, engineering, maintenance, and management to sustain equipment performance throughout its useful life. OEE is a measurement of equipment effectiveness, but TPM is the management and maintenance approach designed to maximize that effectiveness over the equipment life cycle. 6S is a workplace-organization and safety method, and jidoka is an autonomation concept related to stopping for abnormalities. Therefore, the verified CSSBB answer is C. TPM .

Failure mode and effects analysis is the most appropriate tool because the situation involves anticipating possible failures before or during implementation and taking preventive action to reduce risk. In Six Sigma and healthcare process improvement, FMEA is used proactively to identify potential failure modes, assess their likely effects on customers or patients, estimate severity, occurrence, and detection, and prioritize actions before problems happen. The examples in this question, such as missing accounts, missing lab values, and incorrect medication order sets, are exactly the kind of implementation risks that should be evaluated through a structured pre-launch risk review. Waste analysis focuses on non-value-added activity, root cause analysis is typically used after a failure has already occurred, and Pareto analysis is used to prioritize categories of existing problems. Because management is trying to prevent harm and reduce implementation risk in advance, the correct tool is FMEA. This aligns with Black Belt expectations in Analyze and Improve work, where risk is assessed before deployment so that controls, safeguards, and contingency plans can be built into the new process.

In DOE terminology, a factor is an input variable that the experimenter deliberately controls or changes to study its effect on a response. For a pie-baking process, cooking time is an input setting and therefore qualifies as a factor. By contrast, flavor, texture, and crust color are typically outputs or response characteristics that result from the chosen factor settings. The CSSBB and related Lean Six Sigma experimental-design materials describe factors as variables adjusted at selected levels, while responses are the measured outcomes used to judge the effect of those settings. For example, time, temperature, ingredient quantity, or oven setting are common factors in a food-processing experiment, whereas quality attributes such as doneness, appearance, and texture are responses. This distinction is fundamental in the Improve Phase because DOE is used to determine which controllable inputs drive desired outputs. A Black Belt must clearly separate Xs from Ys: factors are the Xs and results are the Ys. In this question, cooking time is the only controllable input variable listed, so it is the correct factor in the experiment.

In DFSS, functional requirements define what the product or service must do and how well it must perform in order to satisfy customer needs and design intent. Their purpose is to establish performance levels that can later be translated into measurable engineering, service, or process characteristics. This is a critical step because customer needs are often expressed in broad or qualitative terms, while functional requirements convert those needs into specific expectations for capability, reliability, speed, capacity, accuracy, or other performance dimensions. Once these requirements are established, the design team can align concepts, specifications, tolerances, and verification methods around them. While functional requirements may also improve communication and reduce redesign indirectly, those are secondary effects rather than their primary purpose. In Black Belt DFSS work, the team must clearly define what the design must achieve before selecting features or building the process that will deliver it. Therefore, the correct answer is A, establish performance levels, because functional requirements provide the performance foundation that guides robust product or service design.