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SCM 300 | SCM300 Exam 3: Global Supply Operations Updated and Latest Questions and Correct Answers with Rationale - Arizona State University

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SCM 300 | SCM300 Exam 3: Global Supply Operations Updated and Latest Questions and Correct Answers with Rationale - Arizona State University

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SCM 300 | SCM300 Exam 3: Global Supply
Operations Updated and Latest Questions and
Correct Answers with Rationale - Arizona State
University
1. In the context of Lean operations, which type of waste involves producing more than the
customer requires or producing it sooner than needed?
A. Inventory

B. Overproduction

C. Waiting

D. Motion
Correct Answer: B
Expert Explanation: Overproduction is considered the most serious waste because it leads
to other types of waste like inventory and waiting. It occurs when items are manufactured
before they are actually needed by the next process or customer. Lean philosophy
emphasizes matching production exactly to demand to maximize efficiency and reduce
costs. Eliminating overproduction helps in smoothing the workflow and reducing storage
requirements. This question evaluates your understanding of the ‘TIMWOOD’ acronym
used in waste identification.

2. A company uses a 3-month simple moving average to forecast demand. If demand for Jan,
Feb, and March was 120, 140, and 160 units respectively, what is the forecast for April?
A. 160 units

B. 150 units

C. 140 units

D. 420 units

Correct Answer: C
Expert Explanation: To calculate the 3-month simple moving average, you add the
demand from the previous three months and divide by three. In this scenario, adding 120,
140, and 160 results in a total of 420. Dividing 420 by 3 yields a forecast of 140 units for
the month of April. This forecasting model is useful for smoothing out short-term
fluctuations in demand data. Understanding basic quantitative forecasting models is
essential for managing supply chain inventory levels effectively.

3. When using Exponential Smoothing, a higher alpha (α) value (closer to 1.0) means the
forecast will:
A. Be more stable and ignore recent changes

,B. Only consider historical averages from the previous year

C. Place more weight on the most recent actual demand

D. Eliminate the need for safety stock

Correct Answer: C
Expert Explanation: The smoothing constant alpha determines how much weight is given
to the most recent data point versus the previous forecast. A high alpha value makes the
forecast highly responsive to the most recent changes in demand. Conversely, a lower alpha
value creates a more stable forecast by smoothing out random noise. Choosing the correct
alpha is a critical data-driven decision for supply chain planners. This question tests your
knowledge of how parameter adjustments influence forecasting model behavior.

4. According to Little’s Law, if a process has an average inventory of 50 units and a
throughput rate of 10 units per hour, what is the average flow time?
A. 10 hours

B. 0.2 hours

C. 500 hours

D. 5 hours
Correct Answer: D
Expert Explanation: Little’s Law is defined by the formula Inventory equals Throughput
multiplied by Flow Time. By rearranging the formula to solve for Flow Time, we divide
Inventory by Throughput. Dividing 50 units by 10 units per hour results in an average flow
time of 5 hours. This fundamental principle helps managers understand the relationship
between speed and volume in a system. Mastery of this metric is crucial for identifying
bottlenecks and improving process efficiency.

5. Which stage of the DMAIC process focuses on identifying the root causes of defects and
problems in a supply chain process?
A. Define

B. Measure

C. Analyze

D. Improve

Correct Answer: C
Expert Explanation: The DMAIC methodology is a structured problem-solving framework
used in Six Sigma and process improvement. During the Analyze phase, teams use data to
pinpoint the specific reasons why defects or inefficiencies occur. This phase often involves
statistical analysis and tools like fishbone diagrams or Pareto charts. Identifying root

, causes prevents the team from simply treating symptoms of a larger issue. This question
assesses your understanding of systematic improvement techniques in global operations.

6. What is the primary purpose of a Kanban system in a Lean manufacturing environment?
A. To push products through the system as fast as possible

B. To increase the amount of safety stock kept on hand

C. To signal the need for more materials or production based on actual demand

D. To replace the need for quality inspections
Correct Answer: C
Expert Explanation: Kanban is a visual signaling system used to implement a ‘pull’
production strategy. It ensures that parts are only produced or moved when there is a
downstream demand for them. By controlling the flow of materials, Kanban prevents
overproduction and minimizes excess work-in-process inventory. It is a cornerstone of
Just-in-Time (JIT) manufacturing and operational synchronization. This question highlights
the difference between push and pull systems in supply chain management.

7. In forecasting, Mean Absolute Deviation (MAD) is used to measure:
A. The average demand over a specific period

B. The total volume of sales

C. The profit margin per unit sold

D. The average magnitude of forecast errors
Correct Answer: D
Expert Explanation: MAD is a common metric used to quantify the accuracy of a
forecasting model. It is calculated by taking the average of the absolute differences between
actual demand and forecasted values. A lower MAD indicates that the forecast is more
accurate and closely follows actual trends. Monitoring MAD allows supply chain managers
to adjust their models for better data-driven decision-making. This metric is essential for
evaluating performance and reducing uncertainty in planning.

8. Which Lean tool involves a ‘Gemba Walk’ to improve process awareness?
A. Statistical Process Control

B. Outsourcing low-value tasks

C. Creating a digital simulation of the factory

D. Going to the actual place where work is performed

Correct Answer: D

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