AI for Supply Chain Resilience Planning

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-operations-AI-and-supply-chain-resilience-adults

1. Which capability represents a strength of AI in supply chain resilience planning?

   1. Building personal trust relationships with key suppliers
   2. Making final strategic decisions about which suppliers to retain
   3. Guaranteeing that supply chains will never experience disruptions
   4. Modeling multiple disruption scenarios simultaneously to test network responses

2. Why can't AI fully replace human judgment in supplier relationship management?

   1. AI cannot process financial documents like invoices and contracts
   2. AI lacks access to real-time supplier performance data
   3. AI processing speed is too slow for dynamic supply chain decisions
   4. AI cannot build trust and negotiate win-win arrangements that humans can

3. What does 'scenario modeling' mean in the context of AI supply chain resilience?

   1. Creating simulations of different disruption types to test how supply networks respond
   2. Generating safety stock orders without human intervention
   3. Automatically selecting which suppliers should be used based on historical data
   4. Predicting exactly when and where specific disruptions will occur

4. What is a 'single-source vulnerability' in a supply chain?

   1. A delay in shipping that affects only one route
   2. A component with unusually high purchase costs
   3. A supplier located in a single geographic region
   4. A risk point where one supplier or node is the only source for a critical component

5. In the AI-supply chain resilience framework, what is the primary role of operations leaders?

   1. Entering raw supplier data into the AI platform
   2. Approving every individual recommendation the AI generates
   3. Making substantive strategic choices based on AI-generated options and analysis
   4. Operating and maintaining the AI technical systems

6. What is the purpose of 'ongoing monitoring' in AI supply chain resilience planning?

   1. Continuously tracking emerging risks and validating that scenario assumptions remain accurate
   2. Conducting daily manual reviews of all supplier performance metrics
   3. Automatically placing orders when inventory thresholds are reached
   4. Performing a one-time risk assessment during initial planning

7. How should AI resilience planning integrate with sourcing strategy?

   1. By informing supplier selection, contract terms, and diversification decisions
   2. By automatically terminating suppliers that fail AI performance criteria
   3. By replacing the existing sourcing and procurement team entirely
   4. By selecting suppliers based primarily on lowest unit cost

8. When AI generates resilience options, what do 'cost trade-offs' represent?

   1. The difference in pricing between competing suppliers
   2. The implementation and maintenance costs of the AI system itself
   3. The balance between resilience investments and their financial impact on the organization
   4. The insurance premiums paid to cover potential disruption losses

9. What is a fundamental limitation of AI in supply chain resilience planning?

   1. AI cannot work effectively with multiple suppliers simultaneously
   2. AI cannot process the large datasets typical in supply chains
   3. AI cannot calculate the costs associated with supply chain decisions
   4. AI cannot predict or anticipate every possible type of disruption

10. Which expectation represents an unrealistic use of AI in supply chain planning?

    1. Believing AI can make supply chains completely invulnerable to all disruptions
    2. Expecting AI to reduce supply chain operating costs
    3. Expecting AI to process supplier performance data more efficiently
    4. Expecting AI to identify potential disruption risks earlier than manual analysis

11. What does 'surfacing vulnerabilities' mean in AI supply chain resilience?

    1. Identifying hidden risks like single-source dependencies that might otherwise be overlooked
    2. Publishing a list of supplier risks for external stakeholders to view
    3. Automatically removing suppliers identified as risky from the network
    4. Predicting with certainty which specific suppliers will fail

12. What distinguishes a 'substantive choice' from a technical one in supply chain resilience?

    1. Technical specifications for data integration
    2. Strategic decisions about risk tolerance, cost acceptance, and business priorities
    3. Decisions about which software platforms to implement
    4. Configuration settings within the AI system itself

13. What is the central premise of using AI for supply chain resilience planning?

    1. AI handles computational complexity while humans make strategic decisions
    2. AI can fully automate the entire supply chain planning process
    3. AI eliminates the need for supply chain expertise and experience
    4. AI is inherently more accurate than human supply chain planners

14. In supply chain resilience, AI is best described as serving which function?

    1. A replacement for supply chain managers and planners
    2. A system that guarantees supply chain success
    3. A tool for exploring scenarios and generating options for human decision-makers
    4. An autonomous decision-maker that requires no human oversight

15. Which element should be included when designing an AI supply chain resilience system?

    1. Mechanisms to maintain human authority over strategic decisions
    2. Replacement of the sourcing and procurement team
    3. Elimination of existing human planning processes
    4. Fully automated supplier selection without human involvement