The probability of stocking out is the likelihood that the demand for an item will exceed the available inventory during a given period. It is one of the criteria used to determine safety stock in a distribution center (DC), as safety stock is inventory that is carried to protect against forecast errors and fluctuations in demand or supply. The higher the probability of stocking out, the more safety stock is needed to avoid customer dissatisfaction and lost sales. The other criteria are not directly related to safety stock. Economic order quantity (EOQ) is the order quantity that minimizes the total inventory holding and ordering costs. Seasonal index value is a measure of how demand varies according to different seasons or periods. Alpha factor level is a parameter used in exponential smoothing to adjust the forecast based on the error between the actual and forecasted demand. Reference: Safety Stock: A Contingency Plan to Keep Supply Chains Flying High, APICS CPIM 8 Planning and Inventory Management | ASCM

An effective approach to projecting requirements for materials with long lead times is to initiate a multilevel master schedule. A multilevel master schedule is a detailed plan that shows the quantities and timing of the end items and all of their components at each level of the bill of materials (BOM). By using a multilevel master schedule, a planner can determine the requirements for materials with long lead times and place orders in advance to avoid shortages or delays. A phantom bill of materials (BOM) is a temporary grouping of components that are used in the production of a parent item, but do not exist as a separate item in inventory. A phantom BOM is not an effective approach to projecting requirements for materials with long lead times, as it does not reflect the actual demand for the components. Increasing the level of safety stock is a way of mitigating the risk of uncertainty in demand or supply, but it is not an effective approach to projecting requirements for materials with long lead times, as it increases the inventory carrying costs and does not address the root cause of the problem. Decreasing the planning horizon is the opposite of an effective approach to projecting requirements for materials with long lead times, as it reduces the visibility and accuracy of the forecast and increases the likelihood of stockouts or excess inventory. Reference:
CPIM Part 2 Learning System, Module 1: Supply Chain Strategy, Section 1.4: Master Scheduling CPIM Part 2 Learning System, Module 3: Supply, Section 3.2: Material Requirements Planning

Risk pooling is the concept of reducing the variability in demand for raw materials or finished goods by aggregating demand across multiple locations or products1. By doing so, the demand fluctuations are more likely to cancel out each other, resulting in a lower safety stock and inventory cost. Risk pooling works best for items with high demand uncertainty and long lead times, because these items have the highest risk of stockouts and the highest inventory holding cost. If the demand uncertainty is low, there is less need for risk pooling, as the demand can be easily forecasted and met. If the lead time is short, the replenishment orders can be placed more frequently and adjusted to the actual demand, reducing the need for safety stock and risk pooling2. Reference: 1 Inventory risk pooling definition - AccountingTools 3 2 Supply Chain Management: Risk pooling - UNB 4