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Logistics management INVENTORY MANAGEMENT - CONTROL Joanna Oleśków-Szłapka
What Is Inventory? ,[object Object],[object Object],[object Object],[object Object]
Types of Inventory ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Process ,[object Object],[object Object],(in warehouses, or  “in transit”) (often on the factory floor)
Water Tank Analogy for Inventory Supply Rate Inventory Level Demand Rate Inventory Level Buffers Demand Rate from Supply Rate
Two Forms of Demand ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Inventory Hides Problems Poor Quality Unreliable Supplier Machine Breakdown Inefficient Layout Bad Design Lengthy Setups
Inventory and Supply Chain Management  -  problems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Inventory Costs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Typical Inventory Carrying Costs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Costs as % of  Inventory Value
INVENTORY CONTROL ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Inventory Control Systems ,[object Object],[object Object],[object Object],[object Object]
Zero Inventory? ,[object Object],[object Object],[object Object]
How to Measure Inventory ,[object Object],[object Object],[object Object],[object Object]
Inventory Measures ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
ABC CLASSIFICATION
ABC Classification ,[object Object]
ABC Classification ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
ABC Classification: Example 1 $ 60 90 2 350 40 3 30 130 4 80 60 5 30 100 6 20 180 7 10 170 8 320 50 9 510 60 10 20 120 PART UNIT COST ANNUAL USAGE
ABC Classification: Example (cont.) Example 10.1 1 $ 60 90 2 350 40 3 30 130 4 80 60 5 30 100 6 20 180 7 10 170 8 320 50 9 510 60 10 20 120 PART UNIT COST ANNUAL USAGE TOTAL % OF TOTAL % OF TOTAL PART VALUE VALUE QUANTITY % CUMMULATIVE 9 $30,600 35.9 6.0 6.0 8 16,000 18.7 5.0 11.0 2 14,000 16.4 4.0 15.0 1 5,400 6.3 9.0 24.0 4 4,800 5.6 6.0 30.0 3 3,900 4.6 10.0 40.0 6 3,600 4.2 18.0 58.0 5 3,000 3.5 13.0 71.0 10 2,400 2.8 12.0 83.0 7 1,700 2.0 17.0 100.0 $85,400 A B C % OF TOTAL % OF TOTAL CLASS ITEMS VALUE QUANTITY A 9, 8, 2 71.0 15.0 B 1, 4, 3 16.5 25.0 C 6, 5, 10, 7 12.5 60.0
ABC Analysis   ,[object Object],[object Object],[object Object]
Silicon Chips, Inc. Example ,[object Object],[object Object],[object Object]
Silicon Chips, Inc. Example ,[object Object]
Inventory Management Approaches ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Economic Order Quantity Model
Economic Order Quantity (EOQ) Models ,[object Object],[object Object],[object Object],[object Object]
Assumptions of Basic EOQ Model ,[object Object],[object Object],[object Object],[object Object]
EOQ Lot Size Choice ,[object Object],[object Object],[object Object]
EOQ Inventory Order Cycle Demand  rate 0 Time Lead time Lead time Order  Placed Order  Placed Order  Received Order  Received Inventory Level Reorder point, R Order qty, Q As Q increases, average inventory level increases, but number of orders placed decreases  ave = Q/2
Total Cost of Inventory – EOQ Model
Answer to Inventory Management Questions for EOQ Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The EOQ Model Q = Number of pieces per order   Q* = Optimal number of pieces per order (EOQ) D = Annual demand in units for the Inventory item S = Setup or ordering cost for each order H = Holding or carrying cost per unit per year
An EOQ Example Determine optimal number of needles to order D  = 1,000  units S  = $10  per order H  = $.50  per unit per year Q* = 2 DS H Q* = 2(1,000)(10) 0.50 =  40,000  = 200  units
An EOQ Example Determine optimal number of needles to order D  = 1,000  units  Q* = 200  units S  = $10  per order H  = $.50  per unit per year = N =  = Expected number of orders Demand Order quantity
An EOQ Example Determine optimal number of needles to order D  = 1,000  units Q* = 200  units S  = $10  per order N = 5  orders per year H  = $.50  per unit per year = T = Expected time between orders Number of working  days per year N
An EOQ Example Determine optimal number of needles to order D  = 1,000  units Q* = 200  units S  = $10  per order N = 5  orders per year H  = $.50  per unit per year T = 50  days Total annual cost = Setup cost + Holding cost TC =  S  +  H D Q * Q * 2
Reorder Point ,[object Object],[object Object],=  d x L ROP  = Lead time for a new order in days Demand per day d =  D Number of working days in a year
Reorder Point: Example Demand = 10,000  kg /year Store open 311 days/year Daily demand = 10,000 / 311 = 32.154  kg /day Lead time = L = 10 days R = dL = (32.154)(10) = 321.54  kg = 322 kg
Safety Stocks  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Variable Demand with  a Reorder Point Reorder point,  R Q LT Time LT Inventory level 0
Reorder Point with  a Safety Stock Reorder point,  R Q LT Time LT Inventory level 0 Safety Stock
Reorder Point With  Variable Demand R  =  dL  +  z  d   L where d = average daily demand L = lead time  d = the standard deviation of daily demand  z = number of standard deviations corresponding to the service level probability  (service factor) z  d   L = safety stock
Reorder Point for  a Service Level Probability of  meeting demand during  lead time = service level Probability of  a stockout R Safety stock d L Demand z  d   L
Safety factor values for CSL
Reorder Point for  Variable Demand The carpet store wants a reorder point with a 95% service level and a 5% stockout probability For a 95% service level,  z  = 1.6 4 d = 30  m  per day L = 10 days  d = 5  m  per day R =  dL  +  z    d   L = 30(10) + (1.6 4 )(5)(  10) = 32 5.9   m Safety stock =  z    d   L = (1.6 4 )(5)(  10) = 2 5 . 9   m

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24867879 inventory-management-control-lecture-3

  • 1. Logistics management INVENTORY MANAGEMENT - CONTROL Joanna Oleśków-Szłapka
  • 2.
  • 3.
  • 4. Water Tank Analogy for Inventory Supply Rate Inventory Level Demand Rate Inventory Level Buffers Demand Rate from Supply Rate
  • 5.
  • 6. Inventory Hides Problems Poor Quality Unreliable Supplier Machine Breakdown Inefficient Layout Bad Design Lengthy Setups
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13.
  • 14.
  • 16.
  • 17.
  • 18. ABC Classification: Example 1 $ 60 90 2 350 40 3 30 130 4 80 60 5 30 100 6 20 180 7 10 170 8 320 50 9 510 60 10 20 120 PART UNIT COST ANNUAL USAGE
  • 19. ABC Classification: Example (cont.) Example 10.1 1 $ 60 90 2 350 40 3 30 130 4 80 60 5 30 100 6 20 180 7 10 170 8 320 50 9 510 60 10 20 120 PART UNIT COST ANNUAL USAGE TOTAL % OF TOTAL % OF TOTAL PART VALUE VALUE QUANTITY % CUMMULATIVE 9 $30,600 35.9 6.0 6.0 8 16,000 18.7 5.0 11.0 2 14,000 16.4 4.0 15.0 1 5,400 6.3 9.0 24.0 4 4,800 5.6 6.0 30.0 3 3,900 4.6 10.0 40.0 6 3,600 4.2 18.0 58.0 5 3,000 3.5 13.0 71.0 10 2,400 2.8 12.0 83.0 7 1,700 2.0 17.0 100.0 $85,400 A B C % OF TOTAL % OF TOTAL CLASS ITEMS VALUE QUANTITY A 9, 8, 2 71.0 15.0 B 1, 4, 3 16.5 25.0 C 6, 5, 10, 7 12.5 60.0
  • 20.
  • 21.
  • 22.
  • 23.
  • 25.
  • 26.
  • 27.
  • 28. EOQ Inventory Order Cycle Demand rate 0 Time Lead time Lead time Order Placed Order Placed Order Received Order Received Inventory Level Reorder point, R Order qty, Q As Q increases, average inventory level increases, but number of orders placed decreases ave = Q/2
  • 29. Total Cost of Inventory – EOQ Model
  • 30.
  • 31. The EOQ Model Q = Number of pieces per order Q* = Optimal number of pieces per order (EOQ) D = Annual demand in units for the Inventory item S = Setup or ordering cost for each order H = Holding or carrying cost per unit per year
  • 32. An EOQ Example Determine optimal number of needles to order D = 1,000 units S = $10 per order H = $.50 per unit per year Q* = 2 DS H Q* = 2(1,000)(10) 0.50 = 40,000 = 200 units
  • 33. An EOQ Example Determine optimal number of needles to order D = 1,000 units Q* = 200 units S = $10 per order H = $.50 per unit per year = N = = Expected number of orders Demand Order quantity
  • 34. An EOQ Example Determine optimal number of needles to order D = 1,000 units Q* = 200 units S = $10 per order N = 5 orders per year H = $.50 per unit per year = T = Expected time between orders Number of working days per year N
  • 35. An EOQ Example Determine optimal number of needles to order D = 1,000 units Q* = 200 units S = $10 per order N = 5 orders per year H = $.50 per unit per year T = 50 days Total annual cost = Setup cost + Holding cost TC = S + H D Q * Q * 2
  • 36.
  • 37. Reorder Point: Example Demand = 10,000 kg /year Store open 311 days/year Daily demand = 10,000 / 311 = 32.154 kg /day Lead time = L = 10 days R = dL = (32.154)(10) = 321.54 kg = 322 kg
  • 38.
  • 39. Variable Demand with a Reorder Point Reorder point, R Q LT Time LT Inventory level 0
  • 40. Reorder Point with a Safety Stock Reorder point, R Q LT Time LT Inventory level 0 Safety Stock
  • 41. Reorder Point With Variable Demand R = dL + z  d L where d = average daily demand L = lead time  d = the standard deviation of daily demand z = number of standard deviations corresponding to the service level probability (service factor) z  d L = safety stock
  • 42. Reorder Point for a Service Level Probability of meeting demand during lead time = service level Probability of a stockout R Safety stock d L Demand z  d L
  • 44. Reorder Point for Variable Demand The carpet store wants a reorder point with a 95% service level and a 5% stockout probability For a 95% service level, z = 1.6 4 d = 30 m per day L = 10 days  d = 5 m per day R = dL + z  d L = 30(10) + (1.6 4 )(5)( 10) = 32 5.9 m Safety stock = z  d L = (1.6 4 )(5)( 10) = 2 5 . 9 m