isen 315 spring 2011 dr. gary gaukler
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ISEN 315 Spring 2011 Dr. Gary Gaukler. Lot Size Reorder Point Systems. Assumptions Inventory levels are reviewed continuously (the level of on-hand inventory is known at all times) Demand is random but the mean and variance of demand are constant. (stationary demand) - PowerPoint PPT PresentationTRANSCRIPT
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ISEN 315Spring 2011
Dr. Gary Gaukler
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Lot Size Reorder Point Systems
Assumptions– Inventory levels are reviewed continuously (the
level of on-hand inventory is known at all times)– Demand is random but the mean and variance of
demand are constant. (stationary demand)– There is a positive leadtime, τ. This is the time that
elapses from the time an order is placed until it arrives.
– The costs are: • Set-up each time an order is placed at $K per order• Unit order cost at $c for each unit ordered• Holding at $h per unit held per unit time ( i. e., per year)• Penalty cost of $p per unit of unsatisfied demand
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The Inventory Control Policy
• Keep track of inventory position (IP)• IP = net inventory + on order• When IP reaches R, place order of size Q
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Inventory Levels
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Solution Procedure
• The optimal solution procedure requires iterating between the two equations for Q and R until convergence occurs (which is generally quite fast).
• A cost effective approximation is to set Q=EOQ and find R from the second equation.
• In this class, we will use the approximation.
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Example• Selling mustard jars• Jars cost $10, replenishment lead time 6 months• Holding cost 20% per year• Loss-of-goodwill cost $25 per jar• Order setup $50• Lead time demand N(100, 25)
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Example
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Example
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Service Levels in (Q,R) Systems
• In many circumstances, the penalty cost, p, is difficult to estimate
• Common business practice is to set inventory levels to meet a specified service objective instead
• Service objectives: Type 1 and Type 2
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Service Levels in (Q,R) Systems
• Type 1 service: Choose R so that the probability of not stocking out in the lead time is equal to a specified value.
• Type 2 service. Choose both Q and R so that the proportion of demands satisfied from stock equals a specified value.
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Comparison Order Cycle Demand Stock-Outs
1 180 02 75 03 235 454 140 05 180 06 200 107 150 08 90 09 160 010 40 0
For a type 1 service objective there are two cycles out of ten in which a stockout occurs, so the type 1 service level is 80%. For type 2 service, there are a total of 1,450 units demand and 55 stockouts (which means that 1,395 demand are satisfied). This translates to a 96% fill rate.
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Type I Service Level
Determine R from F(R) = aQ=EOQ
E.g., if a = 0.95:“Fill all demands in 95% of the order
cycles”
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Type II Service Level
a.k.a. “Fill rate”
Fraction of all demands filled without backordering
Fill rate = 1 – unfilled rate
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Type II Service Level
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Summary of Computations
• For type 1 service, if the desired service level is α, then one finds R from F(R)= α and Q=EOQ.
• For Type 2 service, set Q=EOQ and find R to satisfy n(R) = (1-β)Q.
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Imputed (implied) Shortage Cost
Why did we want to use service levels instead of shortage costs?
Each choice of service level implies a shortage cost!
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Imputed (implied) Shortage Cost
Calculate Q, R using service level formulas
Then, 1 - F(R) = Qh / (pλ)
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Imputed (implied) Shortage Cost
Imputed shortage cost vs. service level:
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Exchange Curve
Safety stock vs. stockouts: