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Free sample · CPIM Production Mgmt PrepQ1
Based on the following manufacturing defect rate data, determine which quality tool is most appropriate for monitoring and detecting small shifts in the mean of the manufacturing process over time. Time Period Defect Rate (%) Quarter 1 0.5 Quarter 2 0.4 Quarter 3 0.7 Quarter 4 0.6
Correct — D. The correct answer is Statistical Process Control (SPC). SPC is used to monitor production processes, allows detection of small shifts in mean, and is math-based using control charts and range limits. Check sheets are for data collection, cause-and-effect diagrams identify causes of problems, and scatter diagrams are for analyzing relationships between two variables.
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  1. Q1Based on the following manufacturing defect rate data, determine which quality tool is most appropriate for monitoring and detecting small shifts in the mean of the manufacturing process over time. Time Period Defect Rate (%) Quarter 1 0.5 Quarter 2 0.4 Quarter 3 0.7 Quarter 4 0.6

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    ✓ Correct answer: Statistical Process Control (SPC)

    The correct answer is Statistical Process Control (SPC). SPC is used to monitor production processes, allows detection of small shifts in mean, and is math-based using control charts and range limits. Check sheets are for data collection, cause-and-effect diagrams identify causes of problems, and scatter diagrams are for analyzing relationships between two variables.

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  2. Q2A manufacturing plant has implemented a new process improvement initiative where employees are encouraged to submit ideas for small changes that can enhance production efficiency and quality. What philosophy does this practice exemplify?

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    ✓ Correct answer: Continuous process improvement

    Answer: Continuous process improvement The manufacturing plant's approach of involving employees to suggest small, incremental changes reflects continuous process improvement. This philosophy focuses on ongoing, small-scale improvements driven by workers directly involved with the processes.

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  3. Q3An electric car manufacturer's sales data over a decade shows varying adoption rates in response to technological advancements and policy changes. What term best describes this changing adoption pattern?

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    ✓ Correct answer: Dynamic

    Answer: Dynamic A dynamic adoption pattern reflects changes over time due to external factors like innovations and regulations, impacting consumer behavior and technology uptake. A stable adoption pattern retains the same shape over time, indicating constant consumer behavior despite external changes.

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  4. Q4The production department suspects forecast inaccuracies leading to excess inventory. Using the following data, calculate the tracking signal to identify if there is any demand bias in the sales forecast. Month Forecast Error MAD January -10 5 February -5 4 March 0 3 April 5 4 May -5 4 June 10 5 July 5 5 August -10 5 September 15 7 October -15 6 November 10 8 December -10 6

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    ✓ Correct answer: -1.94

    To calculate the tracking signal, sum the forecast errors: (-10) + (-5) + 0 + 5 + (-5) + 10 + 5 + (-10) + 15 + (-15) + 10 + (-10) = -10. Calculate the MAD as the average of the provided MAD values: $$\frac{5+4+3+4+4+5+5+5+7+6+8+6}{12}$$ = 5.17. The tracking signal is $$\frac{-10}{5.17}$$ = -1.94. A negative tracking signal indicates a potential bias towards underestimation.

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  5. Q5In inventory management, which of the following is most critical for making short-term inventory replenishment decisions?

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    ✓ Correct answer: Customer orders

    Answer: Customer orders In short-term inventory replenishment, the most critical data comes from customer orders, as they represent actual demand. Sales forecasts, supply schedules, and historical sales data can support long-term planning but are not as critical for immediate decisions.

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  6. Q6A company producing electronic devices has found a consistent deviation between forecasted and actual sales, indicating bias in their sales forecast. What is the best course of action to address this issue?

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    ✓ Correct answer: Adjust the sales forecast

    When bias exists in sales forecasts, it indicates persistent errors that lead to consistent over or under-estimation of demand. The best course of action is to adjust the forecast to improve its accuracy and reliability. Increasing the sales target or decreasing production does not correct the forecast, and removing seasonal factors is irrelevant if bias is the primary concern.

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