APICS CPIM-Part-2 Practice Test - Questions Answers, Page 5

An outlier is a data point that falls outside of the expected range of the data, i.e., it is an unusually large or small data point1.Outliers can have a significant adverse impact on the forecasts, as they can skew the data distribution and distort the statistical analysis2. Therefore, it is important to detect and remove outliers from the demand data before generating forecasts.

One of the techniques that can be used to detect outliers is to use the standard deviation of the data, or the equivalent z-score, to determine the outlier limit3. For example, one approach is to set the lower limit to three standard deviations below the mean, and the upper limit to three standard deviations above the mean. Any data point that falls outside this range is detected as an outlier.

However, detecting outliers is not enough. The most appropriate next step would be to screen the outlier for manual review.This means that the detected outlier should be examined by a human expert to determine whether it is a true outlier or not, and whether it should be corrected or not4. This is because not all outliers are erroneous or irrelevant. Some outliers may be valid observations that reflect real changes in demand, such as seasonal peaks, promotional effects, or market trends. In such cases, correcting or removing the outliers may lead to inaccurate or biased forecasts.

Therefore, screening the outlier for manual review can help verify the cause and validity of the outlier, and decide on the best course of action. Some of the possible actions are:

Correcting the outlier: replacing the outlier with a more typical value based on historical data or expert judgment. This can smooth out the data and reduce the noise.

Separating the demand streams: splitting the data into two or more series based on different factors that influence demand, such as product type, customer segment, or distribution channel. This can isolate the outliers and allow different forecasting methods to be applied to each series.

Adjusting the forecasting model: modifying the parameters or assumptions of the forecasting model to account for the outliers, such as using a different smoothing factor, trend component, or error term. This can improve the fit and accuracy of the model.

Safety capacity in lean environments is where take time is greater than cycle time.Take time is the average time between the start of production of one unit and the start of production of the next unit1.Cycle time is the average time it takes to complete one unit of a product or service2.Safety capacity is the amount of capacity that is reserved to deal with unexpected events or fluctuations in demand or supply3.

In lean environments, the goal is to minimize waste and maximize value by producing only what the customer wants, when the customer wants it, and in the exact amount4. This means that the production system should be synchronized with the customer demand, and the take time should match the cycle time. However, in reality, there may be variations or uncertainties in the demand or supply, such as changes in customer preferences, seasonal patterns, quality issues, equipment breakdowns, or supplier delays.These variations or uncertainties can cause disruptions or imbalances in the production system, leading to stockouts, overproduction, waiting, defects, or rework5.

To cope with these variations or uncertainties, lean environments may use safety capacity as a buffer or contingency plan. Safety capacity is where take time is greater than cycle time, meaning that the production system has some extra capacity to produce more than what the customer currently demands.This extra capacity can be used to absorb the variations or uncertainties and maintain a smooth and stable production flow6. However, safety capacity should not be confused with excess capacity, which is where take time is much greater than cycle time, meaning that the production system has a lot of idle or underutilized resources.Excess capacity is a waste that should be eliminated or reduced in lean environments7.

Therefore, safety capacity in lean environments is where take time is greater than cycle time.

A life cycle assessment (LCA) would be used to determine environmental aspects and impacts. Environmental aspects are the elements or characteristics of a product or service that can interact with the environment, such as emissions, energy use, water use, waste generation, etc.Environmental impacts are the effects or consequences of the environmental aspects on the environment, such as climate change, acidification, eutrophication, human health, biodiversity, etc1

A life cycle assessment (LCA) is a systematic analysis of the potential environmental impacts of products or services during their entire life cycle.During an LCA, you evaluate the potential environmental impacts throughout the entire life cycle of a product (production, distribution, use and disposal) by considering all the relevant environmental aspects and their interactions with the environment23

An LCA can help you:

Identify the most significant environmental aspects and impacts of your product or service

Compare the environmental performance of different products or services

Find opportunities to reduce the environmental impacts and improve the environmental performance of your product or service

Communicate the environmental benefits of your product or service to your customers, stakeholders, and regulators

Therefore, an LCA would be used to determine environmental aspects and impacts.

Risk pooling is a strategy to reduce the total safety stock by aggregating the inventory of multiple items or locations. Risk pooling works best for items with high demand uncertainty and long lead times, because these items have higher variability and require more safety stock. By pooling the inventory, the variability of the total demand is reduced, and the safety stock can be lowered without increasing the risk of stockouts.Reference: CPIM Part 2 Exam Content Manual, Domain 5: Plan and Manage Inventory, Section 5.3: Inventory Management Policies and Objectives, p. 28.

Standardized containers are containers that have uniform dimensions and specifications, such as pallets, crates, boxes, etc. Standardized containers can facilitate transportation efficiency and inventory management by reducing the handling time, increasing the loading capacity, improving the space utilization, and simplifying the packaging and labeling processes. Standardized containers can also enable the use of automated storage/retrieval systems (AS/RS) and other technologies that require consistent dimensions and weights of the items.Reference: CPIM Part 2 Exam Content Manual, Domain 7: Plan and Manage Distribution, Section 7.1: Distribution Network Design, p. 38.

A statistical safety stock calculation is a method to determine the optimal amount of safety stock based on the demand variability, the lead time variability, and the desired service level. A statistical safety stock calculation would be appropriate for end items with stable demand, because these items have a predictable demand pattern and a low coefficient of variation. For items with unstable or unpredictable demand, such as components used in multiple end items, new products at time of introduction, or supply-constrained raw materials, a statistical safety stock calculation may not be accurate or reliable, and other methods such as judgmental or simulation-based approaches may be preferred.Reference: CPIM Part 2 Exam Content Manual, Domain 5: Plan and Manage Inventory, Section 5.4: Inventory Management Techniques, p. 29.

A part that is sold as a service part and also used as a component in another part is called adual-sourced item. A dual-sourced item has two sources of demand: the external demand from the customers who buy the service part, and the internal demand from the parent part that uses the component. The planning for a dual-sourced item should include both sources of demand in the gross requirements, so that the net requirements can be calculated correctly. The service part demand can be included in the gross requirements by using aplanning bill of material, which is a special bill of material that shows the relationship between a parent item and its service parts. A planning bill of material allows the system to explode the service part demand to the component level and generate planned orders for both the service part and the component.

The other statements about the planning for this part are false. Its low-level code is not zero, because it is not an independent item. It has a higher low-level code than its parent item, because it is a component of another item. The material requirements for the part will not be understated, if both sources of demand are included in the gross requirements. It should have some safety stock, to protect against demand and supply uncertainties.Reference: CPIM Part 2 Exam Content Manual, Domain 4: Plan and Manage Supply, Section 4.2: Material Requirements Planning (MRP), p. 22-23.

Standardized work is a method of organizing work processes to improve efficiency, quality, and safety1. One of the benefits of standardized work is consistent cycle time, which is the time it takes to complete a task or a process.By standardizing the work sequence, the takt time, and the standard inventory, standardized work reduces the variability and unpredictability of the work flow, and ensures that each task or process is performed in a consistent and optimal manner2.Consistent cycle time can lead to other benefits, such as improved customer satisfaction, reduced waste, increased productivity, and enhanced quality3.Reference:

Standardized Work: What Is It and Where Is It Used? - TWI Institute

What is Standard Work: Benefits & Applications | SafetyCulture

Standard Work: The Foundation for Kaizen - Lean Smarts

Long lead-time items are items that take a long time to procure, produce, or deliver. Stable demand means that the demand for these items is predictable and does not fluctuate much over time. A supply chain that supports long lead-time items with stable demand would best be designed to position inventory close to the consumer, because this would reduce the delivery time and improve the customer service level. Positioning inventory close to the consumer also reduces the transportation costs and risks associated with long-distance shipments. A supply chain that uses a pull system, which is based on actual customer orders rather than forecasts, may not be suitable for long lead-time items, because it may not be able to meet the customer demand in a timely manner. A supply chain that is linked through an enterprise resources planning (ERP) system, which is a software system that integrates various business functions and processes, may improve the visibility and coordination of the supply chain, but it does not necessarily reduce the lead time or position inventory close to the consumer. A supply chain that is designed to be responsive, which means that it can quickly adapt to changes in demand or other variables, may not be necessary for long lead-time items with stable demand, because these items have low demand uncertainty and variability.Reference:

Inventory Positioning | Supply Chain Resource Cooperative

Push System vs. Pull System: Adopting A Hybrid Approach To MRP

What Is Inventory Positioning in Supply Chain Management?