Free Practice Questions for APICS CPIM-Part-2 Exam

 One of the trade-offs that should be evaluated when determining where to place inventory in a multi-echelon supply chain network is the transportation cost and delivery time. A multi-echelon supply chain network is a system of interconnected stages or echelons that perform different functions, such as production, distribution, and retailing, to deliver products or services to the end customers1. Inventory placement is the decision of how much and where to hold inventory in the supply chain network to balance the costs and service levels2.

Transportation cost is the expense of moving products or materials from one echelon to another in the supply chain network. Transportation cost depends on factors such as distance, mode, volume, weight, fuel, and tariffs3. Delivery time is the duration of moving products or materials from one echelon to another in the supply chain network. Delivery time depends on factors such as speed, reliability, frequency, and congestion3.

There is a trade-off between transportation cost and delivery time when determining where to place inventory in a multi-echelon supply chain network. Generally, holding more inventory closer to the customers can reduce the delivery time and increase the service level, but it can also increase the transportation cost and the inventory holding cost4. On the other hand, holding less inventory farther from the customers can reduce the transportation cost and the inventory holding cost, but it can also increase the delivery time and decrease the service level4. Therefore, finding the optimal inventory placement requires balancing the transportation cost and delivery time trade-off.

Some of the methods or tools that can help evaluate the transportation cost and delivery time trade-off are:

Network optimization: a technique that uses mathematical models to optimize the design and configuration of a supply chain network by minimizing the total costs (including transportation and inventory costs) while satisfying the service level requirements.

Multi-echelon inventory optimization: a technique that uses mathematical models to optimize the allocation and sizing of safety stocks across multiple echelons of a supply chain network by minimizing the total costs (including transportation and inventory costs) while satisfying the service level requirements.

Simulation: a technique that uses computer software to mimic the behavior and performance of a supply chain network under different scenarios and assumptions. Simulation can help evaluate the impact of different inventory placement strategies on the transportation cost and delivery time.

Therefore, transportation cost and delivery time is one of the trade-offs that should be evaluated when determining where to place inventory in a multi-echelon supply chain network.

References: 1: Multi-Echelon Inventory Optimization 2 2: Inventory Placement Definition 3 3: Transportation Cost Definition 4 4: The Tradeoff Between Inventory Costs And Transportation Costs : Supply Chain Network Design: Applying Optimization and Analytics to … 1

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.

A reduction in purchased lot sizes will reduce inventory levels. Purchased lot sizes are the quantities of inventory that a stage of the supply chain either produces or purchases at a given time1. Inventory levels are the amount of stock available throughout the distribution network2. By reducing the purchased lot sizes, a company can lower the amount of inventory it holds, which can reduce the inventory costs, such as holding costs, shortage costs, and order costs3.

Holding costs are the costs associated with storing and maintaining inventory, such as rent, utilities, insurance, taxes, depreciation, and obsolescence4. Shortage costs are the costs incurred when demand exceeds supply, such as lost sales, customer dissatisfaction, and backorder costs4. Order costs are the costs involved in placing and receiving orders, such as transportation, inspection, setup, and administrative costs4.

Reducing the purchased lot sizes can lower the holding costs by decreasing the average inventory in the supply chain due to either production or purchases in lot sizes that are larger than those demanded by the customer1. This is also known as cycle inventory1. Reducing the purchased lot sizes can also lower the shortage costs by increasing the frequency of orders and decreasing the lead time between orders5. This can help avoid stockouts and meet customer demand more consistently. Reducing the purchased lot sizes can also lower the order costs by optimizing the order quantity based on the trade-off between holding costs and order costs. This is also known as economic order quantity (EOQ).

Therefore, a reduction in purchased lot sizes will reduce inventory levels and inventory costs.

References: 1: Chapter 11 Flashcards by Amy Horton 3 2: Optimal Inventory Levels: Calculate & Manage Your Stock Levels 2 3: Inventory Levels Explained: The Highs & Lows Of Optimal Stock 1 4: Economic Order Quantity Model in Inventory Management 4 5: Dual sourcing: Advantages and disadvantages : Economic Order Quantity: What Does It Mean and Who Is It For5

 Capable-to-promise (CTP) is a method of order promising that considers both material and capacity availability. CTP is more appropriate than available-to-promise (ATP), which only considers material availability, in environments where the production process is complex, customized, or resource-intensive, and where the demand is uncertain or variable. CTP can provide more accurate and realistic delivery dates, as well as optimize the use of resources and reduce inventory costs.

Among the options given, specialty chemicals packaged and shipped to order is the most suitable environment for CTP. This is because specialty chemicals are often produced in small batches or on demand, according to the specific requirements and preferences of each customer. Therefore, the production process requires high flexibility and customization, as well as careful coordination of materials and capacity. The demand for specialty chemicals may also vary depending on the market conditions and customer needs. CTP can help the company to promise delivery dates that take into account the availability of both materials and capacity, as well as the production lead time and transportation time.

The other options are less suitable for CTP, as they are more likely to use standard or mass production processes, where the products are made in large quantities or in advance, and where the demand is more stable or predictable. In these environments, ATP may be sufficient to promise delivery dates based on material availability alone, without considering capacity constraints.

References : What is a Capable-to-Promise System (CTP System … - Techopedia; Order promising - Supply Chain Management | Dynamics 365; Capable to Promise (CTP) (MRP and Supply Chain Planning Help) - Oracle; Calculate sales order delivery dates using CTP - Supply Chain ….

 A bill of distribution is a document that specifies the planned channels of inventory disbursement from one or more sources to field warehouses. A bill of distribution is similar to a bill of materials, but it applies to the distribution stage rather than the production stage. A bill of distribution helps to optimize the inventory level, reduce transportation costs, and improve customer service. A bill of distribution considers the factors such as demand patterns, lead times, costs, and capacities of the sources and warehouses.

The other options are not documents that specify the planned channels of inventory disbursement from one or more sources to field warehouses. A supply chain community is a network of organizations that collaborate and coordinate their activities to deliver products or services to customers. A supply chain community includes suppliers, manufacturers, distributors, retailers, and customers. A supply chain community helps to improve the visibility, efficiency, and responsiveness of the supply chain. Interplant demand is the demand for a product or component that is generated by another plant within the same organization. Interplant demand is usually transferred through internal orders or shipments. Interplant demand helps to balance the capacity and resources among different plants. Logistics data interchange (LDI) is a system that enables the exchange of information and documents among different parties involved in the logistics process. LDI uses electronic data interchange (EDI) or other technologies to transmit data such as orders, invoices, shipment notices, and tracking information. LDI helps to improve the accuracy, speed, and security of the logistics transactions. References: CPIM Exam Content Manual Version 7.0, Domain 7: Plan and Manage Distribution, Section 7.1: Distribution Planning Concepts, p. 40; Bill of Distribution; Supply Chain Community.

A two-bin system is a type of inventory management technique that uses two containers or bins to store and replenish items. When the first bin is empty, the second bin is used to supply the demand while the first bin is reordered. A two-bin system is most responsive to changes in demand levels because it triggers replenishment orders based on actual consumption rather than fixed time intervals or reorder points. A two-bin system can reduce stockouts, improve service levels, and lower inventory costs. References: CPIM Exam Content Manual Version 7.0, Domain 5: Plan and Manage Inventory, Section 5.2: Implement Inventory Plans, Subsection 5.2.3: Describe how to implement inventory replenishment techniques (page 46).

 The approved output of the distribution requirements planning (DRP) process is an input to the master production planning (MPS) process. The DRP process determines the quantity and timing of finished goods to be delivered to each distribution center or warehouse to meet customer demand1. The output of the DRP process is a distribution schedule that specifies the planned delivery dates and quantities of products2. The distribution schedule is then used as an input to the MPS process, which determines the quantity and timing of end items to be produced at each manufacturing facility3. The MPS process balances the demand from the distribution schedule with the available capacity and resources of the production system3. The output of the MPS process is a master production schedule that specifies the planned production dates and quantities of end items3.

References: CPIM Part 2 Exam Content Manual, Domain 4: Plan and Manage Supply, Section 4.1: Supply Management Concepts and Tools, p. 33-34.

Mean time between failures (MTBF) is the predicted elapsed time between inherent failures of a mechanical or electronic system during normal system operation1. MTBF can be calculated as the arithmetic mean (average) time between failures of a system1. MTBF is a useful measure of reliability, because it indicates how long a system is likely to work before failing. The higher the MTBF, the more reliable the system2. Reliability is the probability that a system will perform its intended function without failure for a specified period of time under specified conditions3.

The other statements about MTBF are false. MTBF is not used for non-repairable products, but for repairable systems. For non-repairable products, mean time to failure (MTTF) is used instead4. MTTF is the expected time to failure for a non-repairable system1. An increase in MTBF is not proportional to an increase in quality, because quality is not only determined by reliability, but also by other factors such as performance, functionality, durability, and customer satisfaction5. MTBF is not the same as operating life or service life, because operating life or service life is the total time that a system can operate before it reaches the end of its useful life, while MTBF is the average time between failures during the operating life6.

Sales and operations planning (S&OP) is a process that aligns the sales plan, the production plan, the inventory plan, and the financial plan to achieve the business objectives. S&OP helps to balance supply and demand, optimize resources, reduce inventory costs, and improve customer service. S&OP is done on an aggregate or family level, and covers a sufficient span of time to make sure that the necessary resources will be available. S&OP also involves regular reviews and updates of the plans based on the changes in the market and the company’s performance.

Business planning is a process that defines the long-term vision, mission, goals, and strategies of the organization. Business planning provides the direction and framework for the operational plans, but does not address the specific issues of inventory management and financial performance.

Detailed material planning is a process that determines the quantity and timing of material requirements for each item or component in the production plan. Detailed material planning is based on the master schedule, which is derived from the S&OP. Detailed material planning does not address the alignment of sales and operations at an aggregate level.

Master scheduling is a process that translates the S&OP into a detailed plan for each product or service in a specific time period. Master scheduling specifies the quantityand timing of finished goods to be produced or delivered to meet the demand. Master scheduling is dependent on the S&OP, and does not address the coordination of sales and operations at an aggregate level.

References:

APICS Exam Handbook, page 12

CPIM Part 1 Study Guide, page 19

CPIM Part 2 Study Guide, page 17

Sales and Operations Planning (S&OP) 101| Smartsheet

Sales, Inventory & Operations Planning - What It Is and How to Operate

Exponential smoothing is a forecasting technique that uses a weighted average of past and present data to predict future values. It is suitable for time series data that have a stable or slowly changing trend and no significant seasonal variations. Exponential smoothing assigns more weight to the most recent data, giving it a higher influence on the forecast. This makes it more responsive to changes in demand patterns than other techniques, such as moving average or time series decomposition, which use fixed weights or historical data. The Delphi method is a qualitative technique that involves a panel of experts who provide their opinions and feedback on a topic through multiple rounds of surveys. It is not based on historical data or mathematical formulas, but rather on human judgment and consensus. Therefore, it is not appropriate for developing a forecast. References: CPIM Part 2 Exam Content Manual, Version 7.0, Domain 3: Plan and Manage Demand, Section A: Demand Management, Subsection 2: Forecasting Techniques and Methods, p. 14-15.