MCQs on Supply Chain Analytics in Supply Chain
- What is the primary objective of supply chain analytics?
- a) To increase the number of suppliers
- b) To reduce production costs
- c) To improve decision-making by analyzing data
- d) To enhance employee productivity
- Answer: c) To improve decision-making by analyzing data
- Which of the following is NOT a common type of supply chain analytics?
- a) Descriptive analytics
- b) Predictive analytics
- c) Prescriptive analytics
- d) Competitive analytics
- Answer: d) Competitive analytics
- What does descriptive analytics focus on in supply chain management?
- a) Predicting future trends
- b) Providing insights on what actions to take
- c) Analyzing historical data to understand past performance
- d) Comparing company performance with competitors
- Answer: c) Analyzing historical data to understand past performance
- Which type of analytics is used to forecast future supply chain trends?
- a) Descriptive analytics
- b) Predictive analytics
- c) Prescriptive analytics
- d) Diagnostic analytics
- Answer: b) Predictive analytics
- What is the purpose of prescriptive analytics in supply chain management?
- a) To describe past performance
- b) To diagnose issues in the supply chain
- c) To recommend actions to optimize supply chain performance
- d) To forecast future demand
- Answer: c) To recommend actions to optimize supply chain performance
- Which of the following techniques is commonly used in predictive analytics?
- a) SWOT analysis
- b) Regression analysis
- c) PEST analysis
- d) Benchmarking
- Answer: b) Regression analysis
- What is a key benefit of using supply chain analytics?
- a) Increased lead times
- b) Reduced decision-making accuracy
- c) Enhanced visibility and transparency in the supply chain
- d) Higher operational costs
- Answer: c) Enhanced visibility and transparency in the supply chain
- Which tool is commonly used for data visualization in supply chain analytics?
- a) Microsoft Excel
- b) SAP ERP
- c) Tableau
- d) QuickBooks
- Answer: c) Tableau
- What does the term “big data” refer to in the context of supply chain analytics?
- a) Small datasets that are easy to manage
- b) Large volumes of data that can be analyzed for insights
- c) Data from a single source
- d) Data that is always accurate and reliable
- Answer: b) Large volumes of data that can be analyzed for insights
- Which of the following is a challenge associated with implementing supply chain analytics?
- a) Data accuracy and quality
- b) Excessive employee satisfaction
- c) Reduced inventory levels
- d) Increased supplier base
- Answer: a) Data accuracy and quality
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