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.

The EOQ formula considers order costs and carrying costs. With the increase in carrying costs from $4 to $6 in Year 2, the EOQ will decrease, specifically to 32 units, as higher carrying costs lead to lower optimal order quantities. This balances inventory holding costs against order costs. Reference: Economic Order Quantity calculation and inventory management.

In a highly competitive market like office supplies, the most critical cost associated with shortag-es is typically lost sales. If PQR, Inc. experiences shipping delays and cannot maintain continuous inventory, customers are likely to turn to competitors to meet their needs. This can result in im-mediate lost sales and potentially long-term loss of customer loyalty. The cost of lost sales often outweighs other costs like idle workers or production downtime because it directly affects revenue and market share. References:

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

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