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Managing  Independent  Inventory
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is an Inventory System? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Organisations, Roles, Methods and Systems? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Independent vs. Dependent Demand E(1) Independent Demand (not related to other items or final end-product) Dependent Demand (derived from component parts, sub-assemblies,  raw materials, etc.)
Independent versus Dependent Demand Dependent demand Work in progress Components and raw materials Time Demand/usage Independent demand - finished goods - spare parts Time Demand/usage
Why hold stock? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Inventory Types ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Material-Flows Process From Suppliers To Customer Production Processes Inventory in transit Stores  warehouse Finished goods WIP WIP Work in process
Stock : Input (Flow in), Storage (Holding) and Flow out (Usage) Supply Rate Inventory Level Rate of Demand (Usage) Stock Level
Costs of Inventory ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],e.g. 25% or 2p in £ per month of stock
Order Quantities & Reorder Points R = Reorder point L = Lead time L L q R Time No. of units on hand safety or buffer level Average stock q/2 q
Simple inventory system  Raise order for ROQ Orders MRP Check stock level Yes No Receive/inspect.  Accept into stock Send back? Part-delivery No Next Check point Yes No Yes <=ROL? Outstanding Order? Due now?
Bin systems Two-Bin  - quantity stock in bin 2 = re-order level Full Empty Order one bin One-Bin (periodic check) Order enough to refill bin? ,[object Object],[object Object],[object Object],[object Object]
EOQ Aim = Cost Minimisation  Cost Holding + ordering costs = total cost curve.  Find  Q eoq  inventory order point to minimise total costs. Ordering Costs Holding Costs Q eoq Order Quantity (Q) Total Cost
Calculate EOQ Q eoq   = 2DS H = 2(Annual Demand)(Order or set-up cost)  Annual Holding Cost Reorder point  R=DL D = Avg daily demand (constant) L = Lead time (constant) when to place an order. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
EOQ Solution Q = 2DS H = 2(1,000 )(10) 2.50 = 89.443 units or  90 units   eoq d = 1,000 units p.a. 365 days p.a. = 2.74 units/day Reorder point  D L = 2.74 units/day = 19.18 or  20 for 7 day lead time EOQ order = 90 units.  When only 20 units left, place next order for 90 units.
EOQ and ROQ example 2 Annual Demand = 10,000 units Days per year considered in average daily demand = 365 Cost to place an order = £10 Holding cost per unit per year = 10% of cost per unit Lead time = 10 days Cost per unit = £15 365.148 (366 units) = 1.50 2(10,000)(10) = H 2DS = Q eoq If lead time = 10 days, ROL= 273.97 =  274 units Place order for 366 units.  When 274 left, place next order for 366. D = 10,000 units/year 365 days = 27.397 units/day
Total variable cost Find point of minimum TVc Avg.stock Demand 2 x unit cost x Hc% + Oc 1200 2 x £3 x 25% = £450 +  £10 Once per year = £460 1200/52 2 x £3 x 25% = £9 + £510 Once per week = £519 approx
EOQ Table – minimum TVc Avg.stock x item £ x hc % Oc + Hc
Minimum point of Total Inventory Costs ,[object Object],[object Object],Total variable costs Total Hc Total Oc EOQ* Order Size (Q) £ Costs
EOQ Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2 x 10,000 x £250 = 2042 metres £6.40 x 18.75%
Economic Order Quantity (EOQ) Assumptions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Order Point  with Safety Stock Units Days Safety Stock Actual lead time is 3 days! (at day 21) 2200 2000 Order Point 400 200 0  18  21 Dip into safety stock
Safety Stock and Re-order Levels ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],(Avg. lead time x Avg. daily usage)
How Much Safety Stock? Cost vs. safety level ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Cost vs service level £ Service level 70 80 90 100  % Cost of better and  better service ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],0
Normal Distribution of Demand over Lead Time m = mean demand r  = reorder point s = safety stock frequency probability of stock out demand over lead time service level  probability m s r
Service level protection ,[object Object],[object Object],[object Object],[object Object],(Avg. usage (day/week)  x Avg. Lead time) K  x stdev demand x  Avg. lead time
ROL AND Service Level Example ,[object Object],( Avg.  usage … day/week  x  Avg.  lead time) K  x stdev demand x  Avg. lead time ,[object Object],Stock falls to or below ROL & no order is outstanding? Place a new order for 1200. Service level @ 97.5%     stock-out for 1 in 40 reorder situations.
Review Systems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Price discounts and staged deliveries ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Price-Break Model Assumptions similar to as EOQ model i = % of unit cost as carrying cost C = cost per unit “ C” varies for each price-break so apply the formula to each price-break cost value. Holding cost per annum 2(Demand p.a.)(Order or Setup-cost) = iC 2DS = Q OPT
Price-Break Example ,[object Object],[object Object],[object Object],[object Object],Quantity price breaks 0.98 4,000 or more 1.00 2,500 to 3,999 £1.20 0 to 2,499 Price/unit(£) Order Quantity(units) iC 2DS
Solution = 1,826 units 0.02(1.20) = iC 2DS D = 10,000 units Order cost (S) = £4 Put data into formula for each price-break of “C”. =2,000 = =2,020 4) 2(10,000)( = Carrying cost %  (i) = 2% Cost per unit (C) = £1.20, £1.00, £0.98 Q opt   0 - 2499  Feasible 2500-3999 and 4000+  Not feasible Are Q opt  values feasible for the price breaks? 2(10,000)(4) 0.02(1.00) 0.02(0.98) 2(10,000)(4)
U-shaped function True Q opt  values occur at the start of each price-break interval.The total annual cost function is a “u” shaped function 0  1826  2500  4000  Order Quantity Total annual costs Price-breaks
Price-Break Solution Now apply the Q opt  values to total annual cost & identify the total cost for each price-break. TC(0-2499)= (10000x1.20)+(10000/1826)x4+(1826/2)(0.02x1.20) = £12,043.82 TC(2500 -3999) = £10,041 TC(4000+) = £9,949.20 Least cost Q opt  =  4000
Just-in-Time ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
ABC - 20/80 Principle and Inventory Control ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],0  15  45  100 Cumulative % 70 90 100 Cumulative Percentage  of Inventory Value A B C Pareto - 20/80 Principle Identify inventory items based on % of total £ value.  “A” items top 20 %, “B” next 40 %, &quot;C&quot; the lower 20%.
Annual Usage by £ Value
ABC Chart 3 6 9 2 4 1 10 8 5 7 Item No. 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% Percent Usage 0% 20% 40% 60% 80% 100% 120% Cumulative % Usage Cumulative % A B C
Stock Check ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Ops5

  • 2.
  • 3.
  • 4.
  • 5. Independent vs. Dependent Demand E(1) Independent Demand (not related to other items or final end-product) Dependent Demand (derived from component parts, sub-assemblies, raw materials, etc.)
  • 6. Independent versus Dependent Demand Dependent demand Work in progress Components and raw materials Time Demand/usage Independent demand - finished goods - spare parts Time Demand/usage
  • 7.
  • 8.
  • 9. Material-Flows Process From Suppliers To Customer Production Processes Inventory in transit Stores warehouse Finished goods WIP WIP Work in process
  • 10. Stock : Input (Flow in), Storage (Holding) and Flow out (Usage) Supply Rate Inventory Level Rate of Demand (Usage) Stock Level
  • 11.
  • 12. Order Quantities & Reorder Points R = Reorder point L = Lead time L L q R Time No. of units on hand safety or buffer level Average stock q/2 q
  • 13. Simple inventory system Raise order for ROQ Orders MRP Check stock level Yes No Receive/inspect. Accept into stock Send back? Part-delivery No Next Check point Yes No Yes <=ROL? Outstanding Order? Due now?
  • 14.
  • 15. EOQ Aim = Cost Minimisation Cost Holding + ordering costs = total cost curve. Find Q eoq inventory order point to minimise total costs. Ordering Costs Holding Costs Q eoq Order Quantity (Q) Total Cost
  • 16.
  • 17. EOQ Solution Q = 2DS H = 2(1,000 )(10) 2.50 = 89.443 units or 90 units eoq d = 1,000 units p.a. 365 days p.a. = 2.74 units/day Reorder point D L = 2.74 units/day = 19.18 or 20 for 7 day lead time EOQ order = 90 units. When only 20 units left, place next order for 90 units.
  • 18. EOQ and ROQ example 2 Annual Demand = 10,000 units Days per year considered in average daily demand = 365 Cost to place an order = £10 Holding cost per unit per year = 10% of cost per unit Lead time = 10 days Cost per unit = £15 365.148 (366 units) = 1.50 2(10,000)(10) = H 2DS = Q eoq If lead time = 10 days, ROL= 273.97 = 274 units Place order for 366 units. When 274 left, place next order for 366. D = 10,000 units/year 365 days = 27.397 units/day
  • 19. Total variable cost Find point of minimum TVc Avg.stock Demand 2 x unit cost x Hc% + Oc 1200 2 x £3 x 25% = £450 + £10 Once per year = £460 1200/52 2 x £3 x 25% = £9 + £510 Once per week = £519 approx
  • 20. EOQ Table – minimum TVc Avg.stock x item £ x hc % Oc + Hc
  • 21.
  • 22.
  • 23.
  • 24. Order Point with Safety Stock Units Days Safety Stock Actual lead time is 3 days! (at day 21) 2200 2000 Order Point 400 200 0 18 21 Dip into safety stock
  • 25.
  • 26.
  • 27.
  • 28. Normal Distribution of Demand over Lead Time m = mean demand r = reorder point s = safety stock frequency probability of stock out demand over lead time service level probability m s r
  • 29.
  • 30.
  • 31.
  • 32.
  • 33. Price-Break Model Assumptions similar to as EOQ model i = % of unit cost as carrying cost C = cost per unit “ C” varies for each price-break so apply the formula to each price-break cost value. Holding cost per annum 2(Demand p.a.)(Order or Setup-cost) = iC 2DS = Q OPT
  • 34.
  • 35. Solution = 1,826 units 0.02(1.20) = iC 2DS D = 10,000 units Order cost (S) = £4 Put data into formula for each price-break of “C”. =2,000 = =2,020 4) 2(10,000)( = Carrying cost % (i) = 2% Cost per unit (C) = £1.20, £1.00, £0.98 Q opt 0 - 2499 Feasible 2500-3999 and 4000+ Not feasible Are Q opt values feasible for the price breaks? 2(10,000)(4) 0.02(1.00) 0.02(0.98) 2(10,000)(4)
  • 36. U-shaped function True Q opt values occur at the start of each price-break interval.The total annual cost function is a “u” shaped function 0 1826 2500 4000 Order Quantity Total annual costs Price-breaks
  • 37. Price-Break Solution Now apply the Q opt values to total annual cost & identify the total cost for each price-break. TC(0-2499)= (10000x1.20)+(10000/1826)x4+(1826/2)(0.02x1.20) = £12,043.82 TC(2500 -3999) = £10,041 TC(4000+) = £9,949.20 Least cost Q opt = 4000
  • 38.
  • 39.
  • 40. Annual Usage by £ Value
  • 41. ABC Chart 3 6 9 2 4 1 10 8 5 7 Item No. 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% Percent Usage 0% 20% 40% 60% 80% 100% 120% Cumulative % Usage Cumulative % A B C
  • 42.

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