CORE Exam Dumps : Supply Management Core Exam

Requesting quotations using generic specifications and performance requirements with forecasted quantities to meet current and future needs is the best course of action for the supply manager. This approach ensures flexibility in selecting the most cost-effective and suitable vehicles while considering future demands. By focusing on specifications and performance, the supply manager can compare different brands and models objectively, ensuring that the chosen vehicles meet the company's operational needs and budget constraints. Additionally, considering future needs allows for strategic planning and potential cost savings through bulk purchasing or long-term contracts. References:

Lysons, K., & Farrington, B. (2016). Procurement and Supply Chain Management. Pearson.

CIPS (Chartered Institute of Procurement & Supply) guidelines on vehicle procurement and fleet management.

Calculate Total Cost per Supplier: This includes the unit price and shipping costs.

Supplier A: Unit cost is $0.69. Shipping cost is $2000 per 10,000 units.

Total cost per unit: $0.69 + ($2000/10,000) = $0.69 + $0.20 = $0.71 per unit.

Supplier B: Unit cost is $0.71. Shipping cost is $1500 per 10,000 units.

Total cost per unit: $0.71 + ($1500/10,000) = $0.71 + $0.15 = $0.715 per unit.

Compare Landed Prices: The total cost per unit for Supplier A is $0.71, and for Supplier B, it is $0.715.

Decision: Supplier A offers the lower landed price at $0.71 per unit compared to Supplier B’s $0.715 per unit.

References

Monczka, R. M., Handfield, R. B., Giunipero, L. C., & Patterson, J. L. (2016). Purchasing and Supply Chain Management. Cengage Learning.

Christopher, M. (2016). Logistics & Supply Chain Management. Pearson.

Importance of Data Accuracy: Accurate and reliable data is crucial for effective spend analysis and sourcing strategies.

Data Cleansing: Cleansing data ensures that errors, duplicates, and inconsistencies are removed, leading to more accurate analysis.

Foundation for Analysis: Clean and accurate data forms the foundation for reliable and

meaningful spend analysis, which supports both sourcing strategies and budget planning. 4. Stakeholder Confidence: Ensuring data integrity will increase stakeholder confidence in the spend analysis matrix.

Sub-Initiative Leadership: Leading the data cleansing initiative ensures that the director oversees the process and maintains high standards. References

CIPS (Chartered Institute of Procurement & Supply) guidelines on spend analysis and data management.