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Chapter 10. Inventory Management. Independent vs. Dependent Demand Items. Independent demand inventory items demand cannot be computed, it is random (uncertain) items such as finished goods or end items Dependent demand inventory items demand is directly related to that of another item
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Chapter 10 Inventory Management
Independent vs. Dependent Demand Items Independent demand inventory items • demand cannot be computed, it is random (uncertain) • items such as finished goods or end items Dependent demand inventory items • demand is directly related to that of another item • items like raw materials or subcomponents (related to end item) Big Question When and how much to order? every day |-----------------------------------------------------| once a year
2 Basic Approaches to Ordering Inventory Fixed order quantity • always order same quantity • order whenever inventory level gets low (order point) Fixed order period • always order every n days • order a different quantity each time Economic Order Quantity (EOQ) model is most common fixed order quantity approach
Inventory Costs Ordering Costs • clerical costs, postage, material handling costs, etc. • setup or changeover cost # orders/year = D/Q Annual ordering cost = S(D/Q) where D = annual units demanded (forecast) Q = quantity of one order S = average cost of processing one order
Carrying Costs -- costs incurred to keep items in storage average inventory level = Q/2 (for basic EOQ model) Annual carrying cost = C(Q/2) where C = carrying cost rate ($ per unit per year)
Acquisition Costs • cost to purchase or produce the items Annual acquisition cost = D(ac) where ac = cost to purchase or produce one unit of the item Stockout Costs • estimated per unit cost of a stockout (running out of items) • extra paperwork, lost sales, late fees, lost goodwill, etc.
Cost of Capital Interest paid to bank to borrow money to finance inventory Example: 8% annual interest rate 60,000 units annual demand $20 per unit—cost order size = 5000 units average inventory on hand = 2500 units How much interest should they expect to pay next year?
Minimum Total Annual Stocking Costs Total Annual Stocking Costs x Annual Carrying Costs Annual Ordering Costs EOQ x
Inventory Levels Q OP EDDLT 0 Time LT LT LT LT LT Average Inventory Level = Maximum Inventory + Minimum Inventory 2 = (Q + 0)/2 = Q/2 Time Graph of Inventory
Inventory Levels Q OP EDDLT SS 0 Time LT LT LT LT LT Average Inventory Level = Maximum Inventory + Minimum Inventory 2 = [(Q+SS) + SS]/2 = Q/2 + SS Time Graph of Inventory
EOQ Assumptions • Demand, ordering cost rate, carrying cost rate, unit cost, and lead time are known constants • An order arrives all at once • No stockouts occur • No safety stock is carried Total annual inventory cost = ordering + carrying + acquisition costs TC = S(D/Q) + C(Q/2) + D(ac) We want to find the order quantity that results in the minimum total annual inventory cost.
At the minimum total cost, the slope of the total cost curve is zero, so the derivative of TC with respect to Q is zero. TC = S(D/Q) + C(Q/2) + D(ac) Solve for Q to get:
Basic EOQ Example Annual demand = 6000 units Ordering cost rate = $100 per order Acquisition cost = $24 per unit Carrying cost rate = 25% of unit value per year 250 work days per year What quantity should be ordered to minimize total annual inventory cost? EOQ =
What is the total annual inventory cost with this order quantity? TC = S(D/Q) + C(Q/2) + D(ac) TC = TC = On average, how many orders per year should be expected? On average, how many work days should one order last? What is the expected minimum, maximum, and average inventory level?
EOQ with Quantity Discounts Step 1: Calculate EOQ for each price Step 2: For feasible EOQs, calculate total annual cost Step 3: Calculate total annual cost at the lowest allowable quantity for each lower price Step 4: Pick quantity with lowest total annual cost Graph of EOQs and price break quantities
Example: An office supplies wholesaler sells copier paper by the ream. Ordering cost is $20/order. Carrying cost rate is 30% of the dollar value per year. Annual demand is 1000 reams. #ReamsCost/Ream 1-49 3.90 50-199 3.75 200-499 3.65 500+ 3.60 EOQ3.90 = EOQ3.75 = EOQ3.65 = EOQ3.60 =
Calculate TC for: 189 reams @ $3.75 200 reams @ $3.65 500 reams @ $3.60 TC = SD/Q + CQ/2 + D(ac) TC3.75 = TC3.65 = TC3.60 =
Order Point Perpetual inventory accounting – inventory records are updated anytime inventory levels change (typically used with fixed order quantity inventory systems) Order point – the inventory level that triggers an order Lead time – lead time is the amount of time between when a replenishment order is placed until it is received Stockout – inventory level drops to zero For most fixed order quantity systems, stockouts can only occur during the lead time If demand is constant, set the order point equal to the expected demand during the lead time OP = EDDLT
Stockouts and Safety Stock 2 main reasons for a stockout: -- demand during lead time is greater than expected -- lead time is longer than expected Safety stock is extra inventory held during the lead time (beyond EDDLT amount) and is the most common approach to reducing stockouts OP = EDDLT + SS What are the disadvantages of: -- too little safety stock? -- too much safety stock?
Setting Order Points Problem: What inv. level should order point be set at? 2 common approaches -- set OP to achieve a desired customer service level -- set OP to minimize costs of to much or too little inv. There are many ways to measure customer service. We will define customer service level as: -- the % of DDLT filled with stock on hand (What is safety lead time?)
Order Point Example Annual demand = 8000 units Lead time = 4 working days 260 working days per year Safety stock = 200 units What inv. level should the order point be at?
4 Examples of Setting the OP • Achieve a desired service level Example# • discrete demand (small numbers) 1 & 2 • continuous demand (normal distr.) 3 • Minimize stockout and carrying costs • payoff table 4
1. Sue’s Jewelry orders 20 men’s Rolex watches (style #41B) each time the inventory level of this item gets low. There is a two week lead time once the order is placed with the supplier. Sue’s records show that for the past 20 times an order has been placed, the demand during the 2-week lead time has always been 3, 4, 5, 6, or 7 watches. The number of occurrences of these demands has been 4, 7, 6, 2, or 1, respectively (a total of 20 DDLT observations). Since the carrying cost for Rolex watches is quite high, Sue wants to determine what order point to use so that there are enough watches on hand during the lead time to sell to 80% of the customers who request one.
Sue’s Jewelry DDLTFrequencyProb.Service Level 3 4 4 7 5 6 6 2 7 1 20 Find OP for an 80% service level
2. So that it can get a volume discount, Kendall Ford orders 20 F-150 extended cab pickup trucks each time it places an order from the manufacturer. The lead time to receive the trucks is 22 days. The frequency of different demands during the lead time has been 3, 4, 7, 8, 9, 12, and 5 occurrences for demands of 9, 10, 11, 12, 13, 14, and 15 trucks, respectively. Due to the cost of having extra trucks on hand, management has decided it is not cost effective to try to avoid all stockouts during the lead time. They would like to set the order point for the F-150 so that it is out of stock for no more than 30% of the customers who would buy this truck. Kendall Ford should place a new order when how many trucks are left on the lot? How many trucks should they expect to sell during the new lead time?
Kendall Ford Trucks DDLTOccurrencesProb.Service Level 9 3 10 4 11 7 12 8 13 9 14 12 15 5 48
3. A distributor of aircraft jet fuel orders 180,000 gallons each time its supply gets low. The lead time is 3 days. The average daily demand for jet fuel is 18,500 gallons. Past records show that the standard deviation of demand during the lead time is 12,500 gallons. Because of stiff competition from another distributor, it is desired to have enough fuel on hand so that a stockout occurs no more than 5% of the times that customers place orders during the lead time. What should the level of safety stock be? How many gallons should be on hand when an order is placed?
Safety Stock and Order Point Probability of Stockout SS = zσDDLT Actual DDLT OP EDDLT
Payoff Table: Long cost – the cost of one unit left over on hand when an order arrives Short cost – the cost of being one unit short during the lead time (stockout cost) 4. Each year the Payless Drug Store on Coburg road places orders for cases of natural Christmas wreaths and pays $20 for a case of ten wreaths. The sales price is $5 per wreath. Records for the past 20 orders show that demand during the lead time has been 6 cases on 2 occasions, 7 cases on 6 occasions, 8 cases on 10 occasions, and 9 cases on 2 occasions. Any wreath left on hand when a new order arrives will be all dried out and must be thrown away. What is the long cost and short cost? What should the order point be? What service level would this order point provide?
Payoff Table Long cost = Short cost = DDLTFreq.Prob. 6 2 7 6 8 10 9 2 20 Next, fill in payoff table and compute expected costs (EC)
(Long cost or short cost in table) actual DDLT OP
Reducing Lot Sizes Cutting setup costs is key to reducing production lot sizes. Setup reduction examples Summary of Benefits of Reduced Lot Sizes • shorter lead times • less inventory investment • defectives are caught quicker – less scrap, rework, & future errors • need less floor space – employees closer together – better communication • processes more closely linked – encourages joint problem solving • simplified inventory management • lower material handling costs • avoid lumpy workloads
Alternative 1: process batch size = 100 units; transfer batch size = 100 units Machine 1 batch 1 2 batch 1 3 batch 1 3000 4 batch 1 5 batch 1 6 batch 1 0 500 1000 1500 2000 2500 3000 Elapsed Time (minutes) Processing Schedule
Alternative 2: process batch size = 100 units; transfer batch size = 50 units Machine batch 1 batch 2 1 batch 1 batch 2 2 batch 1 batch 2 3 1750 batch 1 batch 2 4 batch 1 batch 2 5 batch 1 batch 2 6 0 500 1000 1500 2000 2500 3000 Elapsed Time (minutes) Processing Schedule