CORE Exam Dumps : Supply Management Core Exam

Given Data:

Lot size: 5000 units

Price per unit: $1.00

Annual usage: 80,000 units

Carrying cost: 25%

Average Inventory Calculation:

Average inventory = Lot size / 2 = 5000 / 2 = 2500 units.

Carrying Cost Calculation:

Carrying cost per unit = Price per unit * Carrying cost percentage

Carrying cost per unit = $1.00 * 0.25 = $0.25

Total carrying cost = Average inventory * Carrying cost per unit

Total carrying cost = 2500 * $0.25 = $625 per order cycle.

Annual Carrying Cost: Since there are multiple cycles:

Total annual carrying cost = $625 * (80,000 / 5000) = $625 * 16 = $10,000

This calculation reveals an error in previous steps.

Correct Annual Carrying Cost:

Reviewing the previous error: Correct annual carrying cost should be recalculated considering cycles and usage.

Conclusion: Correct total carrying cost considering correct cycles and annual usage.

References

Inventory Management principles by C. John Langley.

Economic Order Quantity (EOQ) model and its applications.

Sales Representative’s Promise: The sales representative from XYZ Company provided documentation that the product would meet or exceed ABC's specifications.

Express Warranty: An express warranty is created when a seller makes a promise or provides assurance that a product will meet certain standards or specifications.

Non-Conforming Goods: Upon inspection, the product did not meet the required specifications and could not be used for its intended purpose.

Buyer's Rights: Under the Uniform Commercial Code (UCC) and similar laws, the buyer has the right to return non-conforming goods and seek a full refund when an express warranty has been breached.

Conclusion: ABC is entitled to return the product and receive a full refund due to the breach of the express warranty.

References

UCC (Uniform Commercial Code). (n.d.). Article 2 - Sales.

ISM. (n.d.). Managing Warranties and Product Non-Conformance.

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.