Free Practice Questions for APICS CPIM-8.0 Exam

Inventory days of supply (IDS) is a measure of how long it takes for a company to sell its entire inventory. Reducing IDS means that the company is selling its inventory faster, which increases the inventory turnover ratio. Inventory turnover ratio is the number of times a company sells and replaces its inventory in a given period. A higher inventory turnover ratio indicates that the company is more efficient in managing its inventory and generating sales. Reducing IDS also means that the company is reducing the time between paying its suppliers and receiving payment from its customers, which reduces the cash-to-cash cycle time. Cash-to-cash cycle time is the number of days a company’s cash is tied up in its operations. A lower cash-to-cash cycle time indicates that the company is more efficient in converting its inventory into cash and improving its liquidity. Therefore, reducing distribution network inventory days of supply will have the impact of increasing turnovers and reducing cash-to-cash cycle time. References:

Gartner’s Top Actions for Supply Chain Inventory Reduction

Inventory Days Of Supply | Supply Chain KPI Library | Profit.co

Maximizing Efficiency: Understanding Inventory Days of Supply in - oboloo

An effective approach to projecting requirements for materials with long lead times is to initiate a multilevel master schedule. A multilevel master schedule is a detailed plan that shows the quantities and timing of the end items and all of their components at each level of the bill of materials (BOM). By using a multilevel master schedule, a planner can determine the requirements for materials with long lead times and place orders in advance to avoid shortages or delays. A phantom bill of materials (BOM) is a temporary grouping of components that are used in the production of a parent item, but do not exist as a separate item in inventory. A phantom BOM is not an effective approach to projecting requirements for materials with long lead times, as it does not reflect the actual demand for the components. Increasing the level of safety stock is a way of mitigating the risk of uncertainty in demand or supply, but it is not an effective approach to projecting requirements for materials with long lead times, as it increases the inventory carrying costs and does not address the root cause of the problem. Decreasing the planning horizon is the opposite of an effective approach to projecting requirements for materials with long lead times, as it reduces the visibility and accuracy of the forecast and increases the likelihood of stockouts or excess inventory. References:

CPIM Part 2 Learning System, Module 1: Supply Chain Strategy, Section 1.4: Master Scheduling

CPIM Part 2 Learning System, Module 3: Supply, Section 3.2: Material Requirements Planning

A low-cost provider strategy is a business strategy where a company aims to become the most cost-efficient player in its industry, often by producing goods or providing services at a lower cost than its competitors. The overall goal is to increase market share or achieve higher profitability. The low-cost leader in an industry often sets the price that other companies have to match or beat to stay competitive12.

A low-cost provider strategy works best when buyers are more price sensitive, meaning they are more likely to switch to cheaper alternatives if the price of a product or service increases. This condition creates a strong demand for low-priced products or services, and gives the low-cost leader a competitive advantage over rivals who have higher costs and prices. Buyers are more price sensitive when34:

•The product or service is standardized or undifferentiated, and there are few switching costs.

•The product or service represents a significant portion of the buyer’s budget or income.

•The product or service has low quality, performance, or image attributes that limit the buyer’s satisfaction or loyalty.

•The product or service is not crucial to the buyer’s well-being or enjoyment.

The other options are not correct because:

•A. Price competition among rivals is similar. This condition does not favor a low-cost provider strategy, because it implies that the industry is already highly competitive and there is little room for differentiation. A low-cost leader would have to lower its prices even further to gain an edge over rivals, which could erode its profitability and sustainability.

•C. There are many ways to achieve product differentiation. This condition does not favor a low-cost provider strategy, because it implies that the industry is diverse and dynamic, and there are many opportunities for innovation and value creation. A low-cost leader would have to invest more in research and development, marketing, and customer service to keep up with the changing customer preferences and expectations, which could increase its costs and reduce its efficiency.

•D. There are few industry newcomers. This condition does not favor a low-cost provider strategy, because it implies that the industry is mature and stable, and there are few threats from new entrants. A low-cost leader would have to rely on its existing customer base and market share, which could limit its growth potential and expose it to the risk of obsolescence.

References := 1 Low-cost leadership strategy: Explained with examples2 2 Low-Cost Producer: Definition, Strategies, Examples - Investopedia4 3 Low Cost Strategy - Definition, Factors & Example - MBA Skool5 4 Generating Advantage – Strategic Management - Open Educational Resources1

The master scheduler has the authority to change the product mix in the master scheduling process. The product mix is the combination and proportion of different products or product families that the company offers to its customers. The master scheduler can adjust the product mix based on the customer demand, the production capacity, the inventory levels, and the strategic objectives of the company. The master scheduler can also use the product mix to balance the demand and supply, to optimize the resource utilization, and to maximize the profitability. The other options are not correct, as they are items that the master scheduler does not have the authority to change in the master scheduling process, but rather inputs or constraints that the master scheduler has to follow or consider:

Aggregate volume is the total quantity of products or product families that the company plans to produce and deliver in a given period. Aggregate volume is determined by the sales and operations planning (S&OP) process, which involves the senior management and the functional managers of the company. The master scheduler has to align the master production schedule (MPS) with the aggregate volume, and cannot change it without the approval of the S&OP team.

Engineering change effectivity date is the date when a change in the design or specification of a product or a component becomes effective. Engineering change effectivity date is determined by the engineering department, which is responsible for the product development and innovation. The master scheduler has to incorporate the engineering change effectivity date into the MPS, and cannot change it without the approval of the engineering department.

Customer order quantities are the amounts of products or product families that the customers order from the company. Customer order quantities are determined by the market demand and the customer preferences. The master scheduler has to satisfy the customer order quantities as much as possible, and cannot change them without the approval of the customers or the sales and marketing department. References:

[CPIM Part 2 - Section A - Topic 1 - Sales and Operations Planning]

Master Production Schedule (MPS)

Product Mix

Aggregate Planning

Engineering Change Management

Customer Order Management

A control chart is a tool that shows process changes and random variation over time. It is a type of statistical process control (SPC) that monitors the performance of a process and detects whether it is in or out of control. A control chart consists of a center line, an upper control limit, and a lower control limit. The center line represents the average or target value of the process. The control limits represent the acceptable range of variation within the process. If the data points fall within the control limits, the process is considered stable and in control. If the data points fall outside the control limits, or show a non-random pattern, the process is considered unstable and out of control, indicating the presence of special causes of variation that need to be investigated and eliminated. References:

Managing Supply Chain Operations, Chapter 9: Quality Management, Section 9.2: Statistical Process Control

CPIM Exam Content Manual, Module 8: Quality, Technology and Continuous Improvement, Section 8.1: Quality Management, Subsection 8.1.2: Statistical Process Control