Explanation
The poka-yoke technique of process design is a method for preventing or detecting errors and defects in the manufacturing process. Poka-yoke means "mistake-proofing" in Japanese, and it aims to eliminate human errors by creating systems that either make it impossible for a mistake to occur or make the mistake immediately obvious once it has occurred1. One way to implement poka-yoke is to use part attributes, which are physical features of a part that ensure it can only be assembled or used in the correct way2. For example, a part attribute can define the correct orientation of a part, such as a notch, a hole, a shape, or a color, so that it can only fit into the matching component. This prevents the operator from inserting the part incorrectly or using the wrong part.
The other options do not illustrate the poka-yoke technique of process design. Reducing the number of types of fasteners is an example of standardization, which is a method for simplifying and streamlining the production process by minimizing variation and complexity3. Customized containers that hold mixed sets of parts are an example of kitting, which is a method for organizing and delivering parts or materials to the point of use or consumption in the production process4. An andon is a visual or audible signal that indicates the status of a machine or process, such as normal,abnormal, or emergency5. An andon can be used to alert operators or supervisors of problems or issues, but it does not prevent or detect errors by itself.
References: Lean Six Sigma Tools: What is Poka-Yoke? - Villanova University; What is Poka-Yoke? Mistake
& Error Proofing | ASQ; What is Poka-Yoke? [Examples, Principles, Methods]; Standardization - an overview
| ScienceDirect Topics; Kitting - an overview | ScienceDirect Topics.

Explanation
The change in level of work-in-process (WIP) inventory is the most appropriate indicator to evaluate the effectiveness of the detailed capacity planning processes for a firm that produces a moderate variety of products to stock in a single plant. Detailed capacity planning is the process of determining the quantity and timing of resources, such as labor, equipment, and materials, needed to execute the master production schedule (MPS) at the work center level1. The MPS is a plan that specifies the quantity and timing of end items to be produced in a given time period2. The change in level of WIP inventory is a measure of the difference between the amount of WIP inventory at the beginning and at the end of a period3. WIP inventory consists of partially completed products or components that are waiting for further processing or assembly.
The change in level of WIP inventory can indicate how well the detailed capacity planning processes are aligned with the MPS and the actual demand. A positive change in WIP inventory means that more products or components are being produced than consumed, which implies that there is excess capacity or insufficient demand. A negative change in WIP inventory means that more products or components are being consumed than produced, which implies that there is insufficient capacity or excess demand. A zero or minimal change in WIP inventory means that the production and consumption rates are balanced, which implies that there is optimal capacity and demand. Therefore, by monitoring the change in level of WIP inventory, the firm can evaluate whether its detailed capacity planning processes are effective in meeting customer needs and expectations, as well as minimizing inventory costs and maximizing resource utilization.
The other options are not as appropriate indicators to evaluate the effectiveness of the detailed capacity planning processes for a firm that produces a moderate variety of products to stock in a single plant. Units of output per direct labor hour is a measure of labor productivity, which indicates how efficiently labor is used to produce output. However, labor productivity does not reflect the effectiveness of detailed capacity planning processes, because it does not account for other factors that affect production, such as equipment, materials, quality, or demand. Percentage of master schedule attained is a measure of schedule performance, which indicates how well the actual production matches the planned production. However, schedule performance does not reflect the effectiveness of detailed capacity planning processes, because it does not account for other factors that affect production, such as capacity constraints, resource availability, or customer satisfaction.
Level of finished goods inventory is a measure of inventory management, which indicates how much inventory is available to meet customer orders. However, finished goods inventory does not reflectthe effectiveness of detailed capacity planning processes, because it does not account for other factors that affect production, such as product variety, lead time, or quality.
References: Detail Capacity Planning - Capacity Planning - Gaebler.com Resources ...; Master Production Schedule (MPS) Definition | Operations & Supply Chain Dictionary; Work-in-Process Inventory: Definition & Example - Video & Lesson Transcript | Study.com; [Work-in-Process (WIP) Definition - Investopedia];
[Labor Productivity Definition - Investopedia]; [Labor Productivity: Definition & Statistics - Video & Lesson Transcript | Study.com]; [Schedule Performance Index (SPI) Definition - Investopedia]; [Schedule Performance Index (SPI) & Cost Performance Index (CPI) in Project Cost Management]; [Finished Goods Inventory: Definition & Formula - Video & Lesson Transcript | Study.com]; [Finished Goods Inventory:
Definition & Example - Video & Lesson Transcript | Study.com].

Explanation
Failure Mode and Effects Analysis (FMEA) is a systematic, proactive method for identifying and evaluating the potential causes and impacts of failures in a process, product, or service1. It aims to anticipate and prevent failures by assessing the relative effect and risk of different failure modes1.
The use of FMEA would be most appropriate prior to a new product introduction (NPI). During the NPI phase, FMEA can be used to identify potential failure modes in the design of the product and assess their potential effects on the product's performance and reliability. This allows for proactive measures to be taken to mitigate or eliminate these risks before the product is launched. FMEA is particularly useful in the early stages of design, as it helps in making informed decisions that can improve the quality and safety of the product1.
In contrast, using FMEA after a one-time quality incident investigation (A) or during evaluation of a new market opportunity may not be as effective, as these situations do not involve the design or development of a product or process. While FMEA can be used during the define phase of a Six Sigma project (B), its most impactful application is during the design phase of a new product, where it can significantly influence the final outcome.

Explanation
Implosion in distribution requirements planning (DRP) is the process of calculating the gross requirements for a supplying location based on the net requirements of its customers or demand sources1. Implosion is the opposite of explosion, which is the process of calculating the net requirements for a demand source based on the gross requirements of its customers or demand sources2. Implosion and explosion are used to synchronize the supply and demand across different levels of the distribution network3.
An example of implosion in DRP is gathering information from several field locations and aggregating it at the manufacturing facility. This example shows how the manufacturing facility, which is the supplying location, can determine its gross requirements by adding up the net requirements of its field locations, which are its customers or demand sources. This way, the manufacturing facility can plan its production and inventory levels to meet the demand from the field locations.