1. 1-1 Inventory Management Dr. Hisham Madi

2. 1-2 Inventory management includes planning, coordinating, and controlling activities related to the flow of inventory into, through, and out of an organization.

3. 1-3 Inventory management  Cost of goods sold measures the costs of stock sold, including the costs of purchasing and managing stock.  Cost of goods sold constitutes the largest single cost item for most retailers  This means that better decisions regarding the purchasing and managing of goods for sale can cause dramatic percentage increases in net income

4. 1-4 Costs associated with goods for sale  Managing inventories to increase net income requires companies to effectively manage costs that fall into the following six categories: 1. Purchasing costs are the cost of goods acquired from suppliers, including incoming freight costs. These costs usually make up the largest cost category of goods for sale. 2. Ordering costs are the costs of preparing and issuing purchase orders, receiving and inspecting the items included in the orders, and matching invoices received, purchase orders, and delivery records to make payments. 3. Carrying costs arise while holding an inventory of goods for sale. Carrying costs include the opportunity cost of the investment tied up in inventory and the costs associated with storage, such as space rental, insurance, and spoilage Inventory management

5. 1-5 Inventory management Costs associated with goods for sale 4.Stock-out costs, A stock-out occurs when a company runs out of a particular item for which there is customer demand.  A company may respond to the shortfall or stock-out by expediting an order from a supplier.  Expediting costs of a stock-out include the additional ordering costs plus any associated transportation costs.  Or the company may lose sales due to the stock-out  In this case, the opportunity cost of the stock-out includes lost contribution margin on the sale not made plus any contribution margin lost on future sales due to customer ill will

6. 1-6 5. Costs of quality result when features and characteristics of a product or service are not in conformance with customer specifications. 6. Shrinkage costs result from theft by outsiders, embezzlement by employees, misclassifications, and clerical errors.  Shrinkage is measured by the difference between the cost of inventory on the books v s the cost of the physical count Inventory management

7. 1-7  The first decision in managing goods for sale is how much to order of a given product.  Economic order quality (EOQ) is a decision model that calculates the optimal quantity of inventory to order under a given set of assumptions. Economic-Order-Quantity Decision Model

8. 1-8 Economic-Order-Quantity Decision Model Basic EOQ Assumptions  There are only ordering and carrying costs.  The same quantity is ordered at each reorder point.  Demand, ordering costs, and carrying costs are known with certainty.  The purchase-order lead time, the time between placing an order and its delivery, is certain.  Purchasing costs per unit are unaffected by the quantity ordered. This assumption makes purchasing costs irrelevant to determining EOQ, because purchasing costs of all units acquired will be the same, whatever the order size in which the units are ordered

9. 1-9 Economic-Order-Quantity Decision Model  No stock-outs occur. The basis for this assumption is that the costs of stock-outs are so high that managers maintain adequate inventory to prevent them  Managers consider the costs of quality and shrinkage costs only to the extent that these costs affect ordering or carrying costs.

10. 1-10 Economic-Order-Quantity Decision Model D = Demand in units for specified period P = Relevant ordering costs per purchase order C = Relevant carrying costs of one unit in stock for the time period used for D

11. 1-11 Economic-Order-Quantity Decision Model  EOQ analysis ignores purchasing costs, stock-out costs, costs of quality, and shrinkage costs  However, it can be a useful tool as it represents the order quantity that minimizes the relevant ordering and carrying costs.

12. 1-12 Video Galore sells packages of blank video tapes to its customers; it also rents out tapes of movies and sporting events. It purchases packages of video tapes from Sontek at €14 a package. Sontek pays all incoming freight. No incoming inspection is necessary, as Sontek has a superb reputation for delivering quality merchandise Annual demand is 13 000 packages, at a rate of 250 packages per week. Video Galore requires a 15% annual return on investment. The purchase-order lead time is two weeks. The following cost data are available: Economic-Order-Quantity Decision Model

13. 1-13 Economic-Order-Quantity Decision Model = Relevant ordering costs per purchase order200 Relevant carrying costs per package per year: Required annual return on investment, 15%* 142.10 Relevant insurance, materials handling, breakage, etc., per year3.10 Total5.20

14. 1-14 Economic-Order-Quantity Decision Model What is the economic order quantity of packages of video tapes? The formula underlying the EOQ model is  The formula indicates that EOQ increases with demand and ordering costs and decreases with carrying costs.

15. 1-15 Economic-Order-Quantity  Purchasing 1,000 packages per order minimizes total relevant ordering and carrying costs  Therefore, the number of deliveries each period (one year in this example) is as follows:

16. 1-16  The total annual relevant costs (TRC) for any order quantity Qcan be calculated using the following formula: Economic-Order-Quantity Decision Model

17. 1-17 Economic-Order-Quantity Decision Model When Q= 1000 units (Note that in this formula, Q can be any order quantity, not just the EOQ.)  The larger the order quantity, the lower the annual relevant ordering costs, but the higher the annual relevant carrying costs  Annual relevant total costs are at a minimum at the EOQ at which the relevant ordering and carrying costs are equal.

18. 1-18 Economic-Order-Quantity Decision Model

19. 1-19 When to order (assumes certainty of demand and lead time)  The second major decision in dealing with cost of goods for sale is when to order.  Reorder point is the quantity level of the stock on hand that triggers a new order Consider our Video Galore example. We choose a week as the unit of time: Economic order quantity 1000 packages Number of units sold per week 250 packages Purchase-order lead time 2 weeks

20. 1-20 When to order (assumes certainty of demand and lead time) So, Video Galore will order 1000 packages of tapes each time its stock falls to s500 packages.  If the purchase-order lead time is two weeks, a new order will be placed when the stock level reaches 500 tape packages so that the 1000 packages ordered are received at the time stock reaches zero

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22. 1-22 Safety Stock (demand and lead time uncertain)  Safety stock is stock held at all times regardless of stock ordered using EOQ.  Retailers who are uncertain about demand, lead time, or the quantity that suppliers can provide, hold safety stock  It is used as a buffer against unexpected increases in demand or lead time and unavailability of stock from suppliers.  Managers use a frequency distribution based on prior daily or weekly levels of demand to compute safety-stock levels

23. 1-23 Safety Stock (demand and lead time uncertain) Managers use a frequency distribution based on prior daily or weekly levels of demand to compute safety-stock levels  500 is the most likely level of demand for two weeks because it is assigned the highest probability of occurrence.  If a customer calls Video Galore to buy video tapes and the store has none in stock, it can ‘rush’ them to the customer at a cost to Video Galore of €4 per package.  The relevant stock-out costs in this case are €4 per package.

24. 1-24 Safety Stock (demand and lead time uncertain)  The optimal safety-stock level is the quantity of safety stock that minimizes the sum of annual relevant stock-out and carrying costs.  Recall that the relevant carrying costs for Video Galore are €5.20 per unit per year.  Ordering costs are irrelevant for the safety-stock decision, because Video Galore will place 13 orders per year and will incur the same ordering costs whatever level of safety stock it chooses

25. 1-25 Safety Stock (demand and lead time uncertain)

26. 1-26 Estimating Inventory-Related Relevant Costs and their effects  Obtaining accurate estimates of the cost parameters used in the EOQ decision model is a challenging task  Costs that are relevant when making and evaluating inventory management decisions.  The relevant costs are categorized as follows:  Carrying costs –  Stockout costs – the cost of expediting an order from a supplier  Ordering costs – those ordering costs that change with the number of orders placed

27. 1-27 Estimating Inventory-Related Relevant Costs and their effects Carrying Costs   Relevant incremental costs—those costs of the purchasing firm that change with the quantity of inventory held   Costs that vary with the quantity of stock held.   Relevant inventory carrying costs consist of relevant incremental costs and the relevant opportunity cost of capital.

28. 1-28 Estimating Inventory-Related Relevant Costs and their effects  Consider the salaries paid to clerks, and storekeepers  These costs are irrelevant if they are unaffected by changes in stock levels.  Suppose, however, that as stocks decrease, these salary costs also decrease as the clerks, storekeepers and are transferred to other activities or laid off.  In this case, the salaries paid to these persons are relevant incremental costs of carrying stock

29. 1-29 Estimating Inventory-Related Relevant Costs and their effects  Similarly, the costs of storage space owned that cannot be used for other profitable purposes as stocks decrease are irrelevant.  But if the space has other profitable uses, or if rental cost is tied to the amount of space occupied, storage costs are relevant incremental costs of carrying stock.

30. 1-30 Estimating Inventory-Related Relevant Costs and their effects Opportunity Costs  Relevant opportunity cost of capital—the return foregone by investing capital in inventory rather than elsewhere.  It is calculated as the required rate of return multiplied by the per-unit costs of acquiring inventory, such as the purchase price of units, incoming freight, and incoming inspection.

31. 1-31 Estimating Inventory-Related Relevant Costs and their effects  Stock out, the relevant incremental cost is the cost of expediting an order from a supplier.  The relevant opportunity cost is (1)the lost contribution margin on sales forgone because of the stock-out and (2)lost contribution margin on future sales forgone as a result of customer ill will  Relevant ordering costs are only those ordering costs that change with the number of orders placed

32. 1-32 What is the cost when actual relevant costs differ from the estimated relevant costs used for decision making? Suppose relevant ordering costs per purchase order are $100, while the manager predicts them to be $200 at the time of calculating the order quantity. Three steps in determining the cost of a prediction error: Step 1: Compute the Monetary Outcome from the Best Action That Could Be Taken, Given the Actual Amount of the Cost Input (Cost per Purchase Order). Using D 13,000 packages per year, P=$100, and C = $5.20 per package per year, Cost of a Prediction Error

33. 1-33 Cost of a Prediction Error Annual relevant total costs when EOQ 707 packages are as follows

34. 1-34 Step 2: Compute the Monetary Outcome from the Best Action Based on the Incorrect Predicted Amount of the Cost Input (Cost per Purchase Order)  In this step, the manager calculates the order quantity based on the prediction that the ordering cost is $200 Cost of a Prediction Error

35. 1-35 Cost of a Prediction Error Using D 13,000 packages per year, P=$100, and C = $5.20 per package per year Step 3: Compute the Difference Between the Monetary Outcomes from Step 1 and Step 2 The cost of the prediction error, $223

36. 1-36 Cost of a Prediction Error The square root in the EOQ model dampens the effect of errors in predicting parameters because taking square roots results in the incorrect numbers becoming smaller.

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