APICS CPIM-8.0 Practice Test - Questions Answers, Page 3

The economic order quantity (EOQ) model is a formula that calculates the optimal order quantity that minimizes the total inventory costs, such as ordering costs and holding costs. The EOQ model is based on several assumptions, one of which is that the order preparation costs and inventory-carrying costs are constant and known. This means that the costs of placing and receiving an order, and the costs of storing and maintaining the inventory, do not change with the order quantity or the inventory level, and that they can be estimated accurately12.

The other options are not correct because:

* A. Customer demand is known but seasonal. This is not an assumption of the EOQ model, but rather a violation of it. The EOQ model assumes that the customer demand is constant and known, and that the orders are placed at regular intervals. However, if the customer demand is seasonal, it means that it varies over time and may not be predictable. This can affect the accuracy and applicability of the EOQ model, as the optimal order quantity may change with the demand pattern12.

* B. Items are purchased and/or produced continuously and not in batches. This is not an assumption of the EOQ model, but rather a contradiction of it. The EOQ model assumes that the items are purchased and/or produced in batches, and that the inventory level decreases gradually until it reaches zero, at which point a new order is placed and received. However, if the items are purchased and/or produced continuously, it means that there is no need to place orders or maintain inventory, and the EOQ model becomes irrelevant12.

* D. Holding costs, as a percentage of the unit cost, are variable. This is not an assumption of the EOQ model, but rather a complication of it. The EOQ model assumes that the holding costs, as a percentage of the unit cost, are constant and known. This means that the cost of storing and maintaining one unit of inventory does not depend on the unit cost of the item, and that it can be estimated accurately. However, if the holding costs, as a percentage of the unit cost, are variable, it means that the cost of storing and maintaining one unit of inventory changes with the unit cost of the item, and that it may not be easy to estimate. This can affect the accuracy and applicability of the EOQ model, as the optimal order quantity may depend on the unit cost of the item12.

The sales and operations plan (S&OP) is the most appropriate level to adjust when a major new customer is received from sales. The S&OP is a cross-functional process that aligns the demand and supply plans with the business strategy and financial goals. It also provides the basis for the master production schedule (MPS), which is a more detailed and disaggregated plan for specific products or families. Adjusting the production volume or the forecast would not be sufficient to account for the impact of the new customer on the overall business objectives and resources.

Reference:

* APICS CPIM Part 2 Exam Content Manual, p. 11

* [APICS CPIM Learning System Version 8.0], Module 1, Section A, p. 1-15

Global outsourcing and shared suppliers serving an industry are drivers of loss of intellectual property risk, which is the risk of losing proprietary information or technology to competitors or other parties. This risk can arise from inadequate protection of data, contracts, patents, or trade secrets, or from intentional or unintentional disclosure by suppliers or employees. Loss of intellectual property can result in reduced competitive advantage, lower market share, or legal disputes. Reference := CPIM Part 2 Exam Content Manual, Version 8.0, ASCM, 2021, p. 11. CPIM Part 2 Learning System, Version 8.0, Module 1, Section A, Topic 4.

The mean time between failures (MTBF) is the inverse of the failure rate. The failure rate is given as 0.00055 failures per hour, so the MTBF is 1/0.00055 = 1,818.2 hours. This means that the average time the machine operates without failing is 1,818.2 hours.

Reference: MTBF Formula | How to Calculate Mean Time Between Failure? - EDUCBA, Mean time between failures - Wikipedia

Total productive maintenance (TPM) is a holistic approach to equipment maintenance that strives to achieve perfect production: no breakdowns, no small stops or slow running, no defects, and no accidents. TPM emphasizes proactive and preventative maintenance to maximize the operational efficiency of equipment. It blurs the distinction between the roles of production and maintenance by placing a strong emphasis on empowering operators to help maintain their equipment. The implementation of a TPM program creates a shared responsibility for equipment that encourages greater involvement by plant floor workers. In the right environment, this can be very effective in improving productivity and quality12. One of the eight pillars of TPM is planned maintenance, which aims to reduce the frequency of breakdowns and minimize the impact of failures on production. Planned maintenance involves scheduling maintenance activities based on the actual condition of the equipment, rather than on a fixed time interval. This reduces the risk of over-maintenance or under-maintenance, and optimizes the use of resources. Planned maintenance also involves improving the maintainability and reliability of the equipment, by identifying and eliminating the root causes of failures, and implementing design changes or modifications34.

Reference: Total Productive Maintenance | Lean Production, Total productive maintenance - Wikipedia, Total Productive Maintenance (TPM): 8 Pillars, Benefits and ... - Appvizer

The order point is the level of inventory that triggers a replenishment order. By increasing the order point, the planner is increasing the average inventory level, which in turn increases the carrying cost. Carrying cost is the cost of holding inventory, such as storage, insurance, obsolescence, and opportunity cost. Ordering cost, landed cost, and product cost are not directly affected by the order point12.

Reference: What is Inventory Reorder Point in Inventory Management? - Deskera, Reorder Point Defined: Formula & How to Use | NetSuite

Kanban is a pull system that uses visual signals to trigger the replenishment of materials or parts. It works best in environments where the demand is stable and predictable, and the production process is continuous and standardized. Kanban helps to reduce inventory, waste, and lead time by synchronizing the production and consumption rates. Kanban is not suitable for environments where the demand is volatile, the product life cycle is short, the production process is intermittent, or the product is highly customized. These factors would require frequent changes in the kanban system and reduce its effectiveness.

Reference:

* CPIM Part 1 Study Guide, Chapter 4: Demand Management, Section 4.3: Pull Systems and Kanban

* CPIM Part 2 Study Guide, Chapter 1: Execution of Operations, Section 1.4: Lean Production and JIT

* What Is the Kanban System? - Investopedia

* Kanban - What Is it? | Lean Enterprise Institute

Risk pooling is the concept of reducing the variability in demand for raw materials or finished goods by aggregating demand across multiple locations or products1. By doing so, the demand fluctuations are more likely to cancel out each other, resulting in a lower safety stock and inventory cost. Risk pooling works best for items with high demand uncertainty and long lead times, because these items have the highest risk of stockouts and the highest inventory holding cost. If the demand uncertainty is low, there is less need for risk pooling, as the demand can be easily forecasted and met. If the lead time is short, the replenishment orders can be placed more frequently and adjusted to the actual demand, reducing the need for safety stock and risk pooling2.

Reference: 1 Inventory risk pooling definition --- AccountingTools 3 2 Supply Chain Management: Risk pooling - UNB 4