Which of the following measurements indicates there may be bias In the forecast model?
Correct Answer: C
The tracking signal is a measurement that indicates there may be bias in the forecast model. The tracking signal is the ratio of the cumulative forecast error to the mean absolute deviation (MAD). It measures how well the forecast is tracking the actual demand over time. A tracking signal of zero means that the forecast is perfectly accurate. A tracking signal within the range of -4 to +4 is considered acceptable. A tracking signal outside this range indicates that the forecast is consistently overestimating or underestimating the demand, which implies that there is bias in the forecast model. Bias is the tendency of a forecast to be consistently higher or lower than the actual demand. Bias can be caused by factors such as inaccurate data, inappropriate forecasting methods, or changes in demand patterns. Reference: Managing Supply Chain Operations, Chapter 5: Demand Management and Forecasting, Section 5.2: Forecasting Methods, Subsection 5.2.3: Forecast Accuracy and Control CPIM Exam Content Manual, Module 3: Demand, Section 3.2: Forecasting, Subsection 3.2.2: Forecasting Methods, Subsubsection 3.2.2.3: Forecast Accuracy and Control
Question 257
How would a master production schedule (MPS) be used In an assemble-to-order (ATO) manufacturing environment?
Correct Answer: A
In an assemble-to-order (ATO) manufacturing environment, the MPS is used to plan subassemblies and components that have long lead times or high demand variability. These subassemblies and components are produced and stocked in anticipation of customer orders. The end items are only scheduled in the MPS when a customer order is received, and they are assembled from the available subassemblies and components. This reduces the lead time and inventory for the end items, while increasing the flexibility and responsiveness to customer needs. ATO is a hybrid strategy between make-to-stock (MTS) and make-to-order (MTO). References := * CPIM Exam Content Manual, Module 4: Supply, Section 4.1: Master Production Schedule, p. 14 * Manufacturing Planning and Control for Supply Chain Management, Chapter 8: Master Production Scheduling, Section 8.3: Master Production Scheduling in Different Environments, pp. 191-192
Question 258
If the total part failure rate of a machine is 0.00055 failures per hour, what would be the mean time between failures (MTBF) in hours?
Correct Answer: A
The mean time between failures (MTBF) is the inverse of the failure rate. The failure rate is givenas 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. References: MTBF Formula | How to Calculate Mean Time Between Failure? - EDUCBA, Mean time between failures - Wikipedia
Question 259
Which of the following roles is the BEST choice for classifying sensitive data?
Correct Answer: A
Question 260
A cybersecurity professional has been tasked with instituting a risk management function at a new organization. Which of the following is the MOST important step the professional should take in this endeavor?
