INTE Exam Dumps : Supply Management Integration

A decision tree is an effective tool for evaluating potential costs and benefits under conditions of uncertainty, such as varying forecasts for future sales. It allows the supply manager to visually map out different decision paths and their associated costs, probabilities, and outcomes. This helps in comparing different scenarios and making informed decisions about the raw materials needed for a new product launch. Decision trees are particularly useful in situations with multiple possible outcomes and complex decisions. References:

•Clemen, R. T., & Reilly, T. (2013). Making Hard Decisions with DecisionTools. Cengage Learning.

•Heizer, J., Render, B., & Munson, C. (2017). Operations Management: Sustainability and Supply Chain Management. Pearson.

The absolute value of the forecast error is calculated as the average of the absolute differences between forecasted and actual demand. Calculating each period: |30-31| + |25-31| + |28-26| + |25-20| = 1 + 6 + 2 + 5 = 14. Therefore, the absolute value of the forecast error is 14. Reference: Demand forecasting and error measurement techniques.

When a previously reliable supplier starts delivering flawed parts, the first step should be to ex-plore possible root causes. This approach helps in identifying any recent changes in the supplier's production processes, materials, or workforce that might be contributing to the quality issues. By understanding the root cause, the supply manager can work with the supplier to implement correc-tive actions, ensuring long-term solutions rather than temporary fixes. This collaborative approach also maintains a good relationship with the supplier and encourages continuous improvement. References:

•Monczka, R. M., Handfield, R. B., Giunipero, L. C., & Patterson, J. L. (2015). Purchasing and Supply Chain Management. Cengage Learning.

•Burt, D. N., Petcavag