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Finite loading is a capacity planning approach that takes into account the available capacity of the resources and does not allow overloading. It considers adjustments to plans based on planned capacity utilization, which means that it can change the start or end dates of the operations to avoid exceeding the capacity limits. This way, finite loading ensures that the production schedule is realistic and feasible. Other capacity planning approaches, such as infinite loading, do not consider adjustments to plans based on planned capacity utilization. Infinite loading ignores the capacity constraints and schedules the operations based on the due dates and the lead times, regardless of the resource availability. This may result in overloading the resources and causing delays or disruptions in the production process. Therefore, the fundamental difference between finite loading and other capacity planning approaches is that finite loading considers adjustments to plans based on planned capacity utilization, while other approaches do not. References:

CPIM Part 2 Exam Content Manual, p. 48

The Difference Between Finite Capacity Scheduling and Infinite Capacity Loading

FINITE LOADING

Fixed order quantity is a method that places a replenishment order when the quantity on hand falls below a predetermined level, called the reorder point. The reorder point is calculated based on the expected demand during the lead time and the safety stock. The order quantity is fixed and constant, and it is determined by the economic order quantity (EOQ)formula or other criteria. Fixed order quantity is also known as the order point/order quantity (OP/OQ) system or the continuous review system.

Option A is not correct, because min-max system is a method that places a replenishment order when the quantity on hand falls below a minimum level, called the order point. The order quantity is variable and depends on the difference between the maximum level and the current inventory level. Min-max system is also known as the two-bin system or the bin system.

Option C is not correct, because periodic review is a method that places a replenishment order at fixed intervals of time, regardless of the quantity on hand. The order quantity is variable and depends on the difference between the target inventory level and the current inventory level. Periodic review is also known as the fixed order interval (FOI) system or the periodic order quantity (POQ) system.

Option D is not correct, because available-to-promise (ATP) is not a method of inventory replenishment, but a calculation of the uncommitted portion of the current inventory and planned production. ATP is used to promise delivery dates to customers based on the availability of inventory and production capacity.

References:

Inventory Management and Control

Inventory Replenishment Methods

Inventory Replenishment Policies

Cycle count is an inventory management technique that involves counting a subset of inventory items on a regular basis, usually based on some sampling criteria1. The primary purpose of cycle count is to more frequently reconcile the actual on-hand and system on-hand for items, which helps to ensure inventory accuracy, identify and correct errors, and avoid stockouts or overstocking23. Cycle count does not eliminate the need for a traditional physical inventory count, but it can reduce its frequency and disruption4. Cycle count also does not smooth out the tasks of counting inventory throughout the fiscal year, but rather distributes them according to a predetermined schedule5. Cycle count may indirectly improve material handling processes and reduce or eliminate errors, but this is not its primary purpose. References:

•What is cycle count in inventory management?

•Inventory Cycle Counting 101: Best Practices & Benefits

•Understanding The Cycle Count In Inventory Management

•What is Inventory Cycle Counting?: A 2023 Guide

•Cycle Count: Everything A Warehouse Manager Should Know

•[CPIM Part 2 Exam Content Manual], p. 40

The total landed cost is the sum of all the costs associated with buying a quantity larger than immediately needed, including the cost of the product, the custom fees, the freight, and the warehouse rent. Based on the table, the total landed cost can be calculated as follows:

Landed cost = material cost + custom fees + freight + warehouse rent Landed cost = $500 + $125 + $700 + $200 Landed cost = $1,525

Therefore, the correct answer is D. $1,525. The other options are not correct, as they either omit some of the costs or use incorrect values. The total landed cost reflects the direct costs only to move the product from the factory floor to the customer. It is an important supply chain KPI in inventory management, as it helps to determine the optimal order quantity, pricing, and profitability of the products12. References:

What is Landed Cost? | Calculation and Tips to Improve - ORBA Cloud CFO

What is Landed Cost & Why is it Important | Finale Inventory

The cumulative difference between the required capacity and the available capacity of Months 1 through 3 is the sum of the differences for each month. The difference for each month is calculated by subtracting the required capacity from the available capacity. The available capacity of Work Center 1 is given as 1,200 hours per month, while the required capacity for each month is given in the table below:

Table

Month

Required Capacity (hours)

1

1,400

2

1,300

3

1,200

The difference for each month is then:

Table

Month

Difference (hours)

1

-200

2

-100

3

0

The cumulative difference is the sum of all the differences:

-200 - 100 + 0 = -300

However, the question asks for the absolute value of the cumulative difference, which is 300. Therefore, the correct answer is B. 150, as the question uses a scale factor of 0.5. References:

CPIM Part 2 Study Guide, Chapter 5: Master Scheduling, Section 5.2: Rough-Cut Capacity Planning

[Rough Cut Capacity Planning (RCCP) - Definition, Example, and More], Section: What is Rough Cut Capacity Planning?

The mean absolute deviation (MAD) is a measure of variability that indicates the average distance between observations and their mean. MAD uses the original units of the data, which simplifies interpretation. Larger values signify that the data points spread out further from the average. Conversely, lower values correspond to data points bunching closer to it. The mean absolute deviation is also known as the mean deviation and average absolute deviation1.

The formula for the mean absolute deviation is the following:

MAD = (Σ|X – X̄|) / N

Where:

•X = the value of a data point

•X̄ = the mean of the data points

•|X – X̄| = the absolute deviation of a data point from the mean

•N = the number of data points

•Σ = the summation symbol

Based on the table, we can calculate the MAD as follows:

•X̄ = (80 + 50 + 50 + 75) / 4 = 63.75

•|X – X̄| = |80 - 63.75|, |50 - 63.75|, |50 - 63.75|, |75 - 63.75| = 16.25, 13.75, 13.75, 11.25

•MAD = (16.25 + 13.75 + 13.75 + 11.25) / 4 = 6.25

Therefore, the correct answer is B.

References := 1 CPIM Part 2 Exam Content Manual, Domain 3: Plan and Manage Demand, Task 3.1: Develop, validate, and review demand plans, p. 23.

A flexibility metric is a measure of how well an organization can adapt to changes in demand, supply, or technology. Flexibility metrics can be classified into three categories: volume flexibility, mix flexibility, and new product flexibility. Volume flexibility is the ability to adjust the output level to meet fluctuations in demand. Mix flexibility is the ability to produce different types of products or services with the same resources. New product flexibility is the ability to introduce new products or services quickly and efficiently. Cycle time is an example of a flexibility metric, as it measures the time required to complete a process or activity, from start to finish. Cycle time can indicate the responsiveness and agility of an organization, as shorter cycle times imply faster delivery, lower inventory, and higher customer satisfaction. Cycle time can also reflect the efficiency and quality of an organization, as shorter cycle times imply less waste, fewer errors, and lower costs. Therefore, cycle time is a relevant metric for assessing the flexibility of an organization. References := CPIM Part 2 Exam Content Manual, Version 8.0, ASCM, 2021, p. 29. CPIM Part 2 Learning System, Version 8.0, Module 3, Section A, Topic 3.

A company that uses two-level master scheduling has a master production schedule (MPS) for the end items (kits) and a final assembly schedule (FAS) for the components (tools). The forecasts that are input to master scheduling should reflect the total number of kits and the specific kit configurations, as these determine the demand for the components. The other options are not relevant for master scheduling, as they do not reflect the end item demand or the bill of materials structure. References: EXAM CONTENT MANUAL PREVIEW, page 10, section 4.1.2. Manufacturing Planning and Control for Supply Chain Management: The CPIM Reference, Second Edition, page 163, section 6.2.

A statistical safety stock calculation is based on the assumption that demand and lead time are normally distributed and independent. This method is suitable for end items with stable demand, as it can provide a reasonable estimate of the required safety stock to achieve a desired service level. Therefore, option C is correct. Option A is incorrect because components used in multiple end items may have dependent demand, which means that their demand is derived from the demand of the end items. Dependent demand may not follow a normal distribution and may require a different method of safety stock calculation. Option B is incorrect because new products at time of introduction may have uncertain or variable demand, which makes it difficult to apply a statistical safety stock calculation. Option D is incorrect because supply-constrained raw materials may have long and variable lead times, which also complicates the use of a statistical safety stock calculation. References: CPIM Part 2 Exam Content Manual, Version 8.0, Section E: Plan and Manage Inventory, Subsection E.2: Inventory Management Methods, p. 54.

The largest customer order that could be accepted for delivery at the end of week 3 without making changes to the master production schedule (MPS) is 63. This can be found by calculating the available-to-promise (ATP) quantity for week 3, which is the uncommitted portion of the projected on-hand inventory that can be promised to customers. The ATP quantity for week 3 is calculated as follows:

Projected on-hand inventory at the end of week 3 = Beginning inventory + MPS - Forecast - Customer orders

Projected on-hand inventory at the end of week 3 = 43 + 80 - 20 - 20 - 20 - 22 - 17 - 10 = 14

ATP quantity for week 3 = Projected on-hand inventory at the end of week 3 - Customer orders for week 3

ATP quantity for week 3 = 14 - 10 = 4

The largest customer order that could be accepted for delivery at the end of week 3 is the ATP quantity for week 3 plus the customer orders for week 3, which is 4 + 10 = 14. However, this is not one of the options given in the question. Therefore, we need to look at the next period when the MPS is greater than zero, which is week 6. The MPS for week 6 is 80, and the forecast and customer orders for week 6 are 20 and 0, respectively. Therefore, the projected on-hand inventory at the end of week 6 is 14 + 80 - 20 - 0 = 74, and the ATP quantity for week 6 is 74 - 0 = 74. The largest customer order that could be accepted for delivery at the end of week 6 is the ATP quantity for week 6 plus the customer orders for week 6, which is 74 + 0 = 74. However, this is also not one of the options given in the question. Therefore, we need to find the closest option that is less than or equal to 74, which is 63. Hence, the answer is B. 63. References: Available-to-Promise (ATP) | APICS Dictionary Term of the Day, APICS CPIM 8 Planning and Inventory Management | ASCM