Demand planning involves forecasting future customer demand to inform production and inventory decisions.
The primary output of demand planning is product family and item forecasts, which provide detailed projections of future demand for different products or groups of products. These forecasts are critical for ensuring that the supply chain can meet customer demand efficiently and effectively.
:
Lapide, L. (2006). Demand Management Revisited. Journal of Business Forecasting.
Chopra, S., & Meindl, P. (2016). Supply Chain Management: Strategy, Planning, and Operation. Pearson.

When a company implements a new supplier rating system and identifies suppliers who fall below the cutoff point for performance, the most appropriate action is to discuss ways to raise the ratings for the next review period. This involves:
* Engaging in Dialogue: Scheduling meetings with underperforming suppliers allows for open communication about the performance issues and ways to address them. 2. Collaborative Improvement: Working collaboratively with suppliers to develop action plans for improvement can lead to better performance in cost, quality, and delivery.
* Setting Clear Expectations: Clearly communicating the performance expectations and the consequences of not meeting them helps suppliers understand the importance of improvement.
* Providing Support: Offering support and resources, such as training or process improvement suggestions, can help suppliers achieve the desired performance levels.
This approach fosters a constructive relationship and continuous improvement, rather than punitive measures that could disrupt the supply chain.
References
* "Supplier Evaluation and Performance Excellence: A Guide to Meaningful Metrics and Successful Results" by Sherry Gordon
* APICS, "Supplier Relationship Management Basics"

The Delphi forecasting method is a structured communication technique that relies on a panel of experts. It compensates for individual biases by using multiple rounds of questioning and feedback. Experts provide forecasts anonymously, and after each round, a facilitator provides a summary of the forecasts along with the reasons given for their judgments. This process is repeated until a consensus is reached, minimizing the influence of individual biases and leading to more reliable results.
* Statistical formulas (A) are not the basis of the Delphi method, which relies on expert judgment rather than purely statistical analysis.
* Assigning more weight to key customers' demand (C) is not a feature of the Delphi method.
* Reducing dominance by a few individuals (D) is correct but is a part of compensating for biases, not the primary advantage.
References
* Rowe, G., & Wright, G. (1999). The Delphi Technique as a Forecasting Tool: Issues and Analysis.
International Journal of Forecasting.
* Linstone, H. A., & Turoff, M. (1975). The Delphi Method: Techniques and Applications.

In the Supply Chain Operations Reference (SCOR) model, the metric that measures responsiveness of a supply chain is the Order Fulfillment Cycle Time. This metric indicates the average time taken to fulfill customer orders from the moment they are placed until delivery. It directly measures how quickly the supply chain can respond to customer demand. On-time delivery and perfect order fulfillment measure reliability, while total inventory days of supply measures efficiency.
Supply Chain Council, "Supply Chain Operations Reference (SCOR) Model.