APICS CPIM-Part-2 Practice Test - Questions Answers

Available-to-promise (ATP) is a business function that provides a response to customer order inquiries, based on resource availability1. It generates available quantities of the requested product, and delivery due dates.Therefore, ATP supports order promising and fulfillment, aiming to manage demand and match it to production plans1.

The most appropriate course of action when the customer requests an order of 100 units in Period 1, but the ATP is only 85 units, is to promise the 85 units in Period 1 and the remaining 15 units in the next possible ATP period. This way, the customer can receive a partial fulfillment of their order as soon as possible, and the rest of their order when more inventory becomes available. This approach also avoids overpromising or underdelivering, which can damage customer relationships and satisfaction.

The other options are not appropriate, because they either violate the master schedule, ignore the component availability, or disadvantage another customer. Increasing the MPS quantity in Period 1 by 15 units may not be feasible or desirable, because it may disrupt the production plan, increase costs, or create capacity issues. Promising the 100 units, and then checking on component availability may result in a failure to deliver, if the components are not available or sufficient. Promising the 100 units by removing 15 units from another customer's order with a smaller revenue value may be unethical or unfair, and may also cause dissatisfaction or complaints from the other customer.

A sales forecast that is based solely on shipment history is a method that uses past sales data to predict future sales.This method assumes that the sales pattern will remain consistent over time, and does not account for any changes or fluctuations in demand or supply1. Therefore, this method can be distorted by any factors that affect the availability or delivery of the products, such as material shortages.

Material shortages are situations where the supply of raw materials, components, or finished goods is insufficient to meet the demand.Material shortages can be caused by various reasons, such as natural disasters, supplier issues, transportation disruptions, quality problems, or demand spikes2. Material shortages can have a negative impact on the sales forecast that is based solely on shipment history, because they can reduce the amount of products that can be shipped to customers, and thus lower the sales revenue.Material shortages can also create a backlog of orders that cannot be fulfilled in time, and thus create a gap between the actual and forecasted sales3.

The other factors listed in the question typically would not distort a sales forecast that is based solely on shipment history, because they do not affect the shipment history directly. Labor rate changes are changes in the wages or salaries paid to workers.They may affect the production costs and profits, but not necessarily the sales volume or revenue4. Currency exchange rates are the rates at which one currency can be exchanged for another.They may affect the competitiveness and profitability of international sales, but not necessarily the sales volume or revenue5. Customer demands are the needs and preferences of customers for products or services. They may affect the sales potential and market share, but not necessarily the sales volume or revenue.

A buffer in the theory of constraints (TOC) is a level of inventory that is placed before the governing constraint or the bottleneck to prevent it from being starved or idle. Buffers are used to immunize the system's performance from variability in demand or production. Buffers are part of the drum buffer rope method of scheduling and managing operations that have constraints. The purpose of a buffer in TOC is to prevent unplanned idleness of the resource, which is the most important factor that determines the throughput of the system. Throughput is the rate at which the system generates money through sales. If the resource is idle, then the system loses potential throughput and profit. Therefore, buffers are designed to ensure that there is always enough work available for the resource to process, regardless of any fluctuations or disruptions in the upstream or downstream processes.

Input/output control (I/O) is a type of tool that is used for monitoring a capacity plan. A capacity plan is a statement of the resources needed to meet the production plan over a medium-term horizon. A capacity plan can be stated in different units of measure depending on the type of manufacturing environment, such as hours, units, tons, or dollars. Input/output control (I/O) is a method of measuring and comparing the actual input and output of a work center or a production line against the planned input and output. Input is the amount of work that is released to the work center or the production line, and output is the amount of work that is completed by the work center or the production line. Input/output control (I/O) helps to monitor the performance and efficiency of the work center or the production line, and to identify any deviations or problems that may affect the capacity plan. Input/output control (I/O) also helps to adjust the input or output levels as necessary to maintain the balance between demand and supply, and to achieve the desired throughput.

Maintenance, repair, and operating (MRO) supply systems are systems that manage the inventory and procurement of the items that are used to support the production process, but are not part of the final product. MRO items include spare parts, tools, lubricants, cleaning supplies, safety equipment, and office supplies. The primary consideration in MRO supply systems typically is stockout costs. Stockout costs are the costs associated with the inability to meet the demand for an item due to insufficient inventory. Stockout costs can include lost sales, customer dissatisfaction, production downtime, emergency orders, and reputation damage. Stockout costs can be very high for MRO items, especially if they are critical for the operation and maintenance of the production equipment. Therefore, MRO supply systems should aim to minimize the risk of stockouts by ensuring adequate availability and accessibility of MRO items.

The load on a work center is the total time required to complete all the work orders assigned to that work center. The load can be calculated by multiplying the quantity and the run time of each work order, and then adding them up. The formula is:

Load = (Q1 x R1) + (Q2 x R2) + ... + (Qn x Rn)

Where Q is the quantity and R is the run time of each work order.

Using the data from the table, we can plug in the values and get:

Load = (10 x 8) + (15 x 9) + (12 x 7.5) + (20 x 10) + (8 x 6.5) = 80 + 135 + 90 + 200 + 52 = 557

Therefore, the load on this work center is 557 hours.

The horizon for forecasts that are input to the sales and operations planning (S&OP) process should be long enough that required resources can be properly planned. The S&OP process is a cross-functional process that aligns the demand and supply plans of an organization. The S&OP process consists of several steps, such as data gathering, demand planning, supply planning, pre-S&OP meeting, executive S&OP meeting, and S&OP implementation. The output of the S&OP process is the production plan, which is a statement of the resources needed to meet the aggregate demand plan over a medium-term horizon. The production plan can be stated in different units of measure depending on the type of manufacturing environment, such as hours, units, tons, or dollars. The horizon for forecasts that are input to the S&OP process should be long enough that required resources can be properly planned, meaning that the organization can anticipate and allocate the necessary capacity, materials, labor, equipment, and facilities to meet the expected demand. The horizon for forecasts should also match the lead time for acquiring or changing the resources, as well as the planning cycle for updating the production plan.

Rivalry among competing sellers is the degree of competition between firms in the same industry. It can affect the profitability and market share of the firms, and influence their strategies and decisions. Rivalry tends to be stronger when the demand is slow, the products are similar, the switching costs are low, and the capacity is high. Rivalry can also lead to innovation, differentiation, and customer satisfaction.

Rivalry among competing sellers is generally weaker when buyer demand is growing rapidly. This is because a fast-growing market offers more opportunities for expansion and growth for all the firms, without having to compete aggressively for a limited number of customers. A fast-growing market also reduces the pressure to cut prices or increase advertising, as the demand exceeds the supply. A fast-growing market can also attract new entrants, which can increase the rivalry in the long run, but in the short run, it can create more diversity and segmentation in the market.