1. How can SAP Integrated Business Planning help balance demand and supply?
Ans:
SAP Integrated Business Planning supports connected demand, supply, inventory, and sales and operations planning activities. It helps teams compare forecast requirements with supply capabilities, identify constraints, assess alternative scenarios, and align operational decisions with service and financial objectives.
2. How would you compare alternative supply plans for a business unit?
Ans:
Evaluate each plan using inventory requirements, expected shortages, procurement costs, service outcomes, and operational feasibility. Review the assumptions behind each scenario and consider the effects on customers and business targets. Recommend a plan that balances material availability, cost, and supply risk.
3. How does sales and operations planning improve business coordination?
Ans:
Sales and operations planning brings demand forecasts, supply capabilities, inventory requirements, and financial objectives into a coordinated review. It helps decision-makers identify imbalances, examine capacity constraints, and agree on achievable procurement and production plans. Regular reviews connect strategic goals with day-to-day execution.
4. What factors influence the selection of an appropriate safety stock level?
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Consider demand variability, supplier reliability, replenishment time, forecast accuracy, and the consequences of a stockout. Review service targets and the existing inventory policy before selecting a suitable level. Monitor shortages and surplus stock regularly to determine whether further adjustments are necessary.
5. How can biased demand forecasts affect inventory and service levels?
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Persistent overforecasting can increase surplus inventory and unnecessary purchasing, while underforecasting may lead to shortages and missed deliveries. Compare forecasts with actual demand across products and periods to identify systematic differences. Investigate the causes, revise assumptions where justified, and monitor forecast accuracy over time.
6. What should you verify when a scheduled planning job fails?
Ans:
Review the job status, execution logs, input parameters, authorisations, and any system messages. Check for missing data, resource constraints, or configuration issues that could have interrupted processing. Correct the identified cause, rerun the job according to operating procedures, and confirm that the expected planning results were generated.
7. How would you prepare supply chain plans for launching a new product?
Ans:
Review launch forecasts, component availability, supplier capacity, manufacturing resources, and distribution requirements. Identify long-lead-time materials and potential constraints before the launch date. Coordinate with procurement, production, sales, and logistics teams to confirm that materials and operational resources will be ready on time.
8. Why is data consistency important across supply chain applications?
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Supply chain applications depend on consistent material, supplier, inventory, and order information to support accurate planning and execution. Inconsistent records can cause duplicate requirements, incorrect availability results, and delivery delays. Validating data exchanges and maintaining agreed master data standards helps improve reliability across connected processes.
9. How would you prepare functional documentation for an SAP SCM change request?
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Describe the current issue, business objective, affected workflows, required system behaviour, and expected outcomes. Include business rules, exceptions, reporting needs, and integration dependencies. Review the requirements with stakeholders, define acceptance criteria, and use the approved documentation to guide configuration, testing, and validation.
10. How would you monitor an SAP SCM solution after implementation?
Ans:
Compare operational results against baseline measures for inventory, shortages, delivery reliability, order fulfilment, and planning efficiency. Review system messages and user feedback to identify issues that require attention. Consider changes in demand and supply conditions, then implement further improvements when results do not meet agreed targets.