INTE Exam Dumps : Supply Management Integration

Monte Carlo simulations are used to understand the impact of risk and uncertainty in prediction and forecasting models. They work by running a large number of simulations with varying input variables to produce a distribution of possible outcomes. This method allows forecasters to see a range of potential results and their probabilities, thus reducing uncertainty and increasing confi-dence in the forecast. The goal is not to provide a single correct forecast but to understand the range and likelihood of different outcomes. References:

•Thesen, A., & Travis, L. E. (2009). Simulation for Decision Making. CRC Press.

•Charnes, J. M. (2012). Financial Modeling with Crystal Ball and Excel. Wiley.

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

Parts that were used for maintenance of equipment sold in the previous year but cannot be used on current equipment are best described as obsolete. Obsolete inventory refers to items that are no longer usable or saleable due to advancements in technology or changes in market demand. These parts should be identified and removed from active inventory to free up space and reduce carrying costs. References:

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

•Chopra, S., & Meindl, P. (2015). Supply Chain Management: Strategy, Planning, and Op-eration. Pearson.