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TRADITIONAL MODEL LIMITATIONS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
WORKING AND SAFETY STOCK Safety Stock QUANTITY TIME B Q + S S Working  Stock Working  Stock
IDEAL INVENTORY MODEL B Q + S S QUANTITY Order  Lot  Order  Lot Placed  Received  Placed  Received Safety Stock Reorder  Point Lead Time TIME
Q + S S Lead Time Lead Time Lead Time REALISTIC INVENTORY MODEL TIME B QUANTITY Stockout
SAFETY STOCK VERSUS SERVICE LEVEL .50  1.00 high SAFETY  STOCK low SERVICE  LEVEL  (Probability of no stockouts)
STATISTICAL CONSIDERATIONS     max M 0 M ) M ( M P 0 M d ) M ( M f CONTINUOUS  DISCRETE VARIABLE  DISTRIBUTIONS  DISTRIBUTIONS M                   max M 1 B M ) M ( P ) B M ( B M d ) M ( f ) B M ( Quantity Stockout Expected max M 1 B M ) M ( P B M d ) M ( f max M 0 M ) M ( P 2 ) M M ( 0 M d ) M ( f 2 ) M M ( Variance Demand Time Lead    2 E(M > B) P(M > B) B =  reorder point in units. M = lead time demand in units (a random variable). f(M) = probability density  function of  lead time demand. P(M) = probability of a lead time demand of  M units.     = standard deviation of lead time demand Demand Time Lead Mean Probability of  a  Stockout
PROBABILISTIC  LEAD  TIME  DEMAND DEMAND  DURING  LEAD  TIME  (M) PROBABILITY OF A STOCKOUT,  P(M>B) SAFETY STOCK REORDER POINT PROBABILITY  P(M) 0 M B
NORMAL  PROBABILITY  DENSITY  FUNCTION    2 ) ( 2 2 / 2 ) ( M M e M f    Lead Time Demand (M) M =  1 - F(B)  =  P(M >B) f(M) f(B) B Area   stockout a of probability B M P B F function distribution cumulative M d M f B F function density probability M f B = > = - = = =    ) ( ) ( 1 ) ( ) ( ) (
POISSON DISTRIBUTION LEAD TIME DEMAND  (M) PROBABILITY  P(M) 0.00 0.10 0.20 0.30 0.40 0 4 8 12 16 20 24 M=2 M=4 M=6 M=8 M=10 M=1 P(M) = M  M  e -   M M!
NEGATIVE  EXPONENTIAL  DISTRIBUTION LEAD TIME DEMAND  (M) PROBABILITY DENSITY F(M) 0 1/M f(M)  =  e  M/M M
NEGATIVE  EXPONENTIAL DISTRIBUTION 0.0 0.5 1.0 1.5 2.0 2.5 0 2 4 6 8 10 12 LEAD  TIME  DEMAND  (M) PROBABILITY DENSITY  f(M) M=1 M=2 M=3 M=0.5 M=5 f(M)  =  e  M/M M
INDEPENDENT DEMAND : PROBABILISTIC MODELS LOT SIZE :     2CR / H REORDER POINT  :  B = M + S I.  KNOWN  STOCKOUT  COST A.  Obtain Lead Time Demand Distribution   constant demand, constant lead time variable demand, constant lead time constant demand, variable lead time variable demand, variable lead time B.   Stockout Cost backorder cost / unit lost sale cost / unit II.  SERVICE LEVEL A.   Service per Order Cycle
Demand   Probability   Demand  Probability   Lead time   Probability first week   second week   demand   (col. 2)(col. 4) (D)   P(D)   (D)   P(D)   (M)   P(M) 1   0.60   1  0.60   2  0.36 3  0.30  4  0.18 4  0.10  5  0.06 3  0.30  1  0.60  4  0.18 3  0.30  6  0.09 4  0.10  7  0.03 4  0.10  1  0.60  5  0.06 3  0.30  7  0.03 4  0.10  8  0.01 CONVOLUTIONS (variable demand/week  and  constant lead time of  2 weeks)
Lead time  demand (M)   Probability P(M) 0  0 1  0 2  0.36 3  0   4  0.36 5  0.12 6   0.09 7   0.06 8    0.01 1.00
INVENTORY RISK ( VARIABLE DEMAND, CONSTANT LEAD TIME ) J S 0 W Q + S -W B TIME QUANTITY L P(M>B) Q = order quantity B = reorder point L = lead time S = safety stock B - S = expected lead time demand B - J = minimum lead time demand B + W = maximum lead time demand P(M>B) = probability of a stockout J
SAFETY STOCK :  BACKORDERING M B S M d M f M M d M f B M d M f M B S - =           ) ( ) ( ) ( ) ( ) ( ) ( ) ( 0 0 0
BACKORDERING Cost Stockout Cost Holding TC S + = B M P Q AR H dB dTC S     0 ) ( B M E Q AR H M B     ) ( ) (  M d M f B M Q AR SH     ) ( ) ( ) ( B AR HR s P B M P    ) ( ) (
TC s  =  (B - M)H  +   E(M > B)  =   B = 67   E(M > B) =   = (68- 67).08 + (69- 67).03 + (70- 67).01 = .17 units TC s  = (67- 65)(2)(.30)  +  =  1.20 + 2.04   =  $3.24 B = 68   E(M > B) =   = (69- 68).03 + (70- 68).01 = .05 units TC s  = (68- 65)(2)(.30)  +  =  1.80 + 0.60  =  $2.40 AR E(M>B) Q 2(3600)(.05) 600  2(3600)(.17) 600    + = - 70 1 68 ) ( ) 68 ( M M P M     max 1 ) ( ) ( M B M M P B M  + = - 70 1 67 ) ( ) 67 ( M M P M
B = 69   E(M > B) =   =  (70- 69).01 = .01 units TC s  =  (69- 65)(2)(.30)  +  =  2.40 + 0.12 =  $2.52  + = - 70 1 69 ) ( ) 69 ( M M P M 2(3600)(.01) 600   Therefore, the lowest cost reorder point is 68 units  with an expected annual cost of safety stock of $2.40.
SAFETY STOCK : LOST SALES ) ( ) ( 0 M d M f M B S B - =  ) ( B M E M B S > + - = ) ( ) ( M d M f B M M B B - + - =   ) ( ) ( ) ( ) ( 0 M d  M f M B M d M f M B B - - - =    
LOST SALES Cost Stockout Holding Cost TC S  = HQ AR HQ s P B M P  = =  ) ( ) ( B M P H Q AR H dB dTC S =          = 0 ) (   B M E Q AR H B M E M B      = ) ( ) ( M d M f B M Q AR SH B - + =   ) ( ) ( B M E H Q AR H M B           = ) ( ) (
INVENTORY RISK (CONSTANT  DEMAND,  VARIABLE  LEAD  TIME) Q + S S B L m L QUANTITY TIME P(M > B) 0 L = expected lead time P(M > B) = probability of a stockout B  -  S = expected lead time demand Q = order quantity B = reorder point S = safety stock L m  = maximum lead time
J S 0 Q + S - W B QUANTITY L m INVENTORY RISK (VARIABLE  DEMAND,  VARIABLE  LEAD  TIME) L TIME P(M >B) P(M > B) = probability of a stockout B -  S = expected lead time demand B + W = maximum lead time demand Q = order quantity B = reorder point S = safety stock L = expected lead time L m  = maximum lead time B  -  J = minimum lead time demand
VARIABLE DEMAND / VARIABLE LEAD TIME L D D L      2 2 2 2 ,[object Object],L D M  L D D D L L D M          2 2 2 2 2 ,[object Object],L
SERVICE  PER  ORDER  CYCLE c c SL B M P B M P cycles order of no total stockout a with cycles of no SL  =  >  =  = 1 ) ( ) ( 1 . . 1
IMPUTED  STOCKOUT COSTS ) ( ) ( / cost B M P R HQ A AR HQ B M P unit Backorder        ) ( ) ( 1 ) ( / B M P R B M P HQ A HQ AR HQ B M P unit sales cost Lost        
SAFETY  STOCK :  1 WEEK  TIME  SUPPLY (Normal Distribution : Lead Time = 4 weeks) Weekly Demand   Safety   Stock   D    D   1000  100   1000   5.00  0 1000   200   1000   2.50  0.0062 1000  300  1000   1.67  0.0480 1000   400  1000   1.25  0.1057 1000  500   1000   1.00   0.1587   4 1000 D S Z     S P(M>B)
PROBABILISTIC  LOGIC Service Levels Service/units demanded,  E(M>B) = Q(1 - SL U ) E(M>B) =    E(Z) Convolution over lead time Multiply dist. by demand, M = DL,    = D  L  Analytical Combination / Monte Carlo simulation Service/cycle, P(M>B) = 1 - SL c Variable demand, variable lead time Variable demand, constant lead time Constant demand, variable lead time Lost Sale,  P(M>B) = HQ / (AR+HQ) Backordering, P(M>B) = HQ / AR Lead time  demand distribution ? Known stockout costs ? No Yes Yes No Start
RISK :  FIXED ORDER SIZE SYSTEMS FOSS Order  Quantity (Q) Reorder  Point (B) Set by Management EOQ EPQ Service Level Per Cycle Per Units Demanded Known  Stockout   Cost Lost Sale Backorder Per Outage Per Unit Per Outage Per Unit

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Traditional model limitations

  • 1.
  • 2. WORKING AND SAFETY STOCK Safety Stock QUANTITY TIME B Q + S S Working Stock Working Stock
  • 3. IDEAL INVENTORY MODEL B Q + S S QUANTITY Order Lot Order Lot Placed Received Placed Received Safety Stock Reorder Point Lead Time TIME
  • 4. Q + S S Lead Time Lead Time Lead Time REALISTIC INVENTORY MODEL TIME B QUANTITY Stockout
  • 5. SAFETY STOCK VERSUS SERVICE LEVEL .50 1.00 high SAFETY STOCK low SERVICE LEVEL (Probability of no stockouts)
  • 6. STATISTICAL CONSIDERATIONS     max M 0 M ) M ( M P 0 M d ) M ( M f CONTINUOUS DISCRETE VARIABLE DISTRIBUTIONS DISTRIBUTIONS M                   max M 1 B M ) M ( P ) B M ( B M d ) M ( f ) B M ( Quantity Stockout Expected max M 1 B M ) M ( P B M d ) M ( f max M 0 M ) M ( P 2 ) M M ( 0 M d ) M ( f 2 ) M M ( Variance Demand Time Lead  2 E(M > B) P(M > B) B = reorder point in units. M = lead time demand in units (a random variable). f(M) = probability density function of lead time demand. P(M) = probability of a lead time demand of M units.  = standard deviation of lead time demand Demand Time Lead Mean Probability of a Stockout
  • 7. PROBABILISTIC LEAD TIME DEMAND DEMAND DURING LEAD TIME (M) PROBABILITY OF A STOCKOUT, P(M>B) SAFETY STOCK REORDER POINT PROBABILITY P(M) 0 M B
  • 8. NORMAL PROBABILITY DENSITY FUNCTION    2 ) ( 2 2 / 2 ) ( M M e M f    Lead Time Demand (M) M = 1 - F(B) = P(M >B) f(M) f(B) B Area   stockout a of probability B M P B F function distribution cumulative M d M f B F function density probability M f B = > = - = = =    ) ( ) ( 1 ) ( ) ( ) (
  • 9. POISSON DISTRIBUTION LEAD TIME DEMAND (M) PROBABILITY P(M) 0.00 0.10 0.20 0.30 0.40 0 4 8 12 16 20 24 M=2 M=4 M=6 M=8 M=10 M=1 P(M) = M M e - M M!
  • 10. NEGATIVE EXPONENTIAL DISTRIBUTION LEAD TIME DEMAND (M) PROBABILITY DENSITY F(M) 0 1/M f(M) = e  M/M M
  • 11. NEGATIVE EXPONENTIAL DISTRIBUTION 0.0 0.5 1.0 1.5 2.0 2.5 0 2 4 6 8 10 12 LEAD TIME DEMAND (M) PROBABILITY DENSITY f(M) M=1 M=2 M=3 M=0.5 M=5 f(M) = e  M/M M
  • 12. INDEPENDENT DEMAND : PROBABILISTIC MODELS LOT SIZE :  2CR / H REORDER POINT : B = M + S I. KNOWN STOCKOUT COST A. Obtain Lead Time Demand Distribution constant demand, constant lead time variable demand, constant lead time constant demand, variable lead time variable demand, variable lead time B. Stockout Cost backorder cost / unit lost sale cost / unit II. SERVICE LEVEL A. Service per Order Cycle
  • 13. Demand Probability Demand Probability Lead time Probability first week second week demand (col. 2)(col. 4) (D) P(D) (D) P(D) (M) P(M) 1 0.60 1 0.60 2 0.36 3 0.30 4 0.18 4 0.10 5 0.06 3 0.30 1 0.60 4 0.18 3 0.30 6 0.09 4 0.10 7 0.03 4 0.10 1 0.60 5 0.06 3 0.30 7 0.03 4 0.10 8 0.01 CONVOLUTIONS (variable demand/week and constant lead time of 2 weeks)
  • 14. Lead time demand (M) Probability P(M) 0 0 1 0 2 0.36 3 0 4 0.36 5 0.12 6 0.09 7 0.06 8 0.01 1.00
  • 15. INVENTORY RISK ( VARIABLE DEMAND, CONSTANT LEAD TIME ) J S 0 W Q + S -W B TIME QUANTITY L P(M>B) Q = order quantity B = reorder point L = lead time S = safety stock B - S = expected lead time demand B - J = minimum lead time demand B + W = maximum lead time demand P(M>B) = probability of a stockout J
  • 16. SAFETY STOCK : BACKORDERING M B S M d M f M M d M f B M d M f M B S - =           ) ( ) ( ) ( ) ( ) ( ) ( ) ( 0 0 0
  • 17. BACKORDERING Cost Stockout Cost Holding TC S + = B M P Q AR H dB dTC S     0 ) ( B M E Q AR H M B     ) ( ) (  M d M f B M Q AR SH     ) ( ) ( ) ( B AR HR s P B M P    ) ( ) (
  • 18. TC s = (B - M)H + E(M > B) = B = 67 E(M > B) = = (68- 67).08 + (69- 67).03 + (70- 67).01 = .17 units TC s = (67- 65)(2)(.30) + = 1.20 + 2.04 = $3.24 B = 68 E(M > B) = = (69- 68).03 + (70- 68).01 = .05 units TC s = (68- 65)(2)(.30) + = 1.80 + 0.60 = $2.40 AR E(M>B) Q 2(3600)(.05) 600 2(3600)(.17) 600  + = - 70 1 68 ) ( ) 68 ( M M P M     max 1 ) ( ) ( M B M M P B M  + = - 70 1 67 ) ( ) 67 ( M M P M
  • 19. B = 69 E(M > B) = = (70- 69).01 = .01 units TC s = (69- 65)(2)(.30) + = 2.40 + 0.12 = $2.52  + = - 70 1 69 ) ( ) 69 ( M M P M 2(3600)(.01) 600 Therefore, the lowest cost reorder point is 68 units with an expected annual cost of safety stock of $2.40.
  • 20. SAFETY STOCK : LOST SALES ) ( ) ( 0 M d M f M B S B - =  ) ( B M E M B S > + - = ) ( ) ( M d M f B M M B B - + - =   ) ( ) ( ) ( ) ( 0 M d M f M B M d M f M B B - - - =    
  • 21. LOST SALES Cost Stockout Holding Cost TC S  = HQ AR HQ s P B M P  = =  ) ( ) ( B M P H Q AR H dB dTC S =          = 0 ) (   B M E Q AR H B M E M B      = ) ( ) ( M d M f B M Q AR SH B - + =   ) ( ) ( B M E H Q AR H M B           = ) ( ) (
  • 22. INVENTORY RISK (CONSTANT DEMAND, VARIABLE LEAD TIME) Q + S S B L m L QUANTITY TIME P(M > B) 0 L = expected lead time P(M > B) = probability of a stockout B - S = expected lead time demand Q = order quantity B = reorder point S = safety stock L m = maximum lead time
  • 23. J S 0 Q + S - W B QUANTITY L m INVENTORY RISK (VARIABLE DEMAND, VARIABLE LEAD TIME) L TIME P(M >B) P(M > B) = probability of a stockout B - S = expected lead time demand B + W = maximum lead time demand Q = order quantity B = reorder point S = safety stock L = expected lead time L m = maximum lead time B - J = minimum lead time demand
  • 24.
  • 25. SERVICE PER ORDER CYCLE c c SL B M P B M P cycles order of no total stockout a with cycles of no SL  =  >  =  = 1 ) ( ) ( 1 . . 1
  • 26. IMPUTED STOCKOUT COSTS ) ( ) ( / cost B M P R HQ A AR HQ B M P unit Backorder        ) ( ) ( 1 ) ( / B M P R B M P HQ A HQ AR HQ B M P unit sales cost Lost        
  • 27. SAFETY STOCK : 1 WEEK TIME SUPPLY (Normal Distribution : Lead Time = 4 weeks) Weekly Demand Safety Stock D  D 1000 100 1000 5.00 0 1000 200 1000 2.50 0.0062 1000 300 1000 1.67 0.0480 1000 400 1000 1.25 0.1057 1000 500 1000 1.00 0.1587 4 1000 D S Z     S P(M>B)
  • 28. PROBABILISTIC LOGIC Service Levels Service/units demanded, E(M>B) = Q(1 - SL U ) E(M>B) =  E(Z) Convolution over lead time Multiply dist. by demand, M = DL,  = D  L Analytical Combination / Monte Carlo simulation Service/cycle, P(M>B) = 1 - SL c Variable demand, variable lead time Variable demand, constant lead time Constant demand, variable lead time Lost Sale, P(M>B) = HQ / (AR+HQ) Backordering, P(M>B) = HQ / AR Lead time demand distribution ? Known stockout costs ? No Yes Yes No Start
  • 29. RISK : FIXED ORDER SIZE SYSTEMS FOSS Order Quantity (Q) Reorder Point (B) Set by Management EOQ EPQ Service Level Per Cycle Per Units Demanded Known Stockout Cost Lost Sale Backorder Per Outage Per Unit Per Outage Per Unit