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Or, with apologies to PS, 'One man's ceiling is another man's floor.' Time. Inventory ... Therefore: We let inventory drop to zero just before an order arrives ... – PowerPoint PPT presentation

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Title: Notes


1
Notes
  • Quiz This Friday
  • Covers 13 March through today

2
MGTSC 352
  • Lecture 21
  • Inventory Management
  • AE Noise exampleMethods for finding good
    inventory policies 1) simulation2) EOQ LTD
    models
  • Using EOQ for the Distribution Game
    Multi-Echelon Systems

3
Why Keep Inventory?
  • Seasonality (anticipated variation)
  • Provide flexibility (unanticipated variation)
    a.k.a.
  • Economies of scale
  • Price speculation (not an ops reason)
  • Something to work on
  • NDR,JP

4
Inventory By Where it IS
  • Raw Materials
  • Finished Goods
  • Work in Process
  • Or, with apologies to PS, One mans ceiling is
    another mans floor.

5
Inventory
Time
6
Acquisition Costs (pg. 142)
  • No matter what the inventory policy,
  • acquisition costs Demand X Cost
  • They dont change,
  • So they dont go in the model
  • (Unless you get quantity discounts, then it
    matters.)

7
Order Costs
  • Number of orders per year ?
  • (3695 VCRs / year)/(80 VCRs / order)
  • 46.2 orders / year
  • Total order cost per year ?
  • (46.2 orders / year)(30 / order)
  • 1385.63 / year
  • Total Order Costs S D/Q

8
Holding Costs (pg. 143)
  • Minimum inventory ? 0 for now
  • Later Safety Stock
  • Maximum inventory Q (SS)
  • Average inventory ?
  • Q/2 (80)/2 40 VCRs
  • Total holding cost per year ?
  • (40 VCR-years)(37.5 / VCR / year) 1500 / year
  • Total Holding Costs HQ/2

9
EOQ Economic Order Quantity Model
pg. 144
  • Given demand is constant
  • Find the Q that minimizes total cost
  • Total cost acquisition cost order cost
    carrying cost shortage cost
  • Total relevant cost order cost carrying cost

10
EOQ Derivation
pg. 147
  • S order cost (/order)
  • H carrying cost (/item/year)
  • D demand (units/year)
  • Q order quantity
  • N number of orders per year
  • Iavg average inventory

Relevant cost order cost carrying
cost RC S ? N H ? Iavg RC(Q) S ? D /
Q H ? Q / 2
Note you can change year to day, week, or any
other time unit, as long as you are
consistent Common mistake inconsistent time units
To Excel
11
EOQ Formula
pg. 147
Relevant cost ordering cost carrying
cost RC S ? N H ? Iavg RC(Q) S ? D /
Q H ? Q / 2
12
The magic part (optional)
13
pg. 147
  • Using EOQ for AE Noise YNOS XD
  • D 10.12 VCRs/day,
  • S 30/order,
  • H 0.10/VCR/day
  • ? Q SQRT(2?10.12?30/0.10) 77.9
  • ? round to Q 78
  • N 10.12/78 0.13 orders/day 47.4
    orders/year
  • Order every 365/47.4 8 days
  • Relevant cost
  • RC(Q) S ? (D/Q) H ? (Q/2)
  • 30 ? (10.12/78) 0.10 ? (78/2)
  • 3.90 3.90
  • 7.80 / day 2,847 / year

14
  • Common mistake using inconsistent time units
  • D 10.12 VCRs/day, S 30/order, H
    37.5/VCR/year
  • ? Q SQRT(2?10.12?30/37.5) 4
  • Off by (77.9 4)/77.9 95
  • Will not be worth a lot of part marks

15
More on EOQ Economies of Scale
Pg. 149
  • The Capital Health Region operates four
    hospitals. Presently each hospital orders its
    own supplies and manages its inventory. A common
    item used is a sterile intravenous (IV) kit, with
    a weekly demand of 600 per week at each hospital.
    Each IV kit costs 5 and incurs a holding cost
    of 30 per year. Each order incurs a fixed cost
    of 150 regardless of order size. The supplier
    takes one week to deliver an order. Currently,
    each hospital orders 6,000 kits at a time.
  • Question 1 Could costs be decreased by ordering
    more often?
  • Question 2 Would it make sense to centralize
    inventory management for the four hospitals?

Fictional data
16
Analysis for one Hospital
  • D 600 / week (600 / week) ? (52 weeks/year)
    31,200 / year
  • S 150 / order
  • H 0.3 ? 5 1.50 / kit / year
  • Q SQRT(2 ? D ? S / H) 2,498 2,500
  • Costs
  • Q 6,000 S ? D / Q H ? Q / 2 780 4,500
    5,280
  • Q 2,500 S ? D / Q H ? Q / 2 1,872
    1,875 3,747
  • 29 savings

17
Analysis for one Hospital
  • D 600 / week (600 / week) ? (52 weeks/year)
    31,200 / year
  • S 150 / order
  • H 0.3 ? 5 1.50 / kit / year
  • Q SQRT(2 ? D ? S / H) 2,498 2,500
  • Close your course pack
  • Active Learning How do we change the analysis if
    inventory management were centralized for the
    four hospitals?

18
Analysis for four hospitals managed together
  • D 4 ? 31,200 / year 124,800 / year
  • S 150 / order
  • H 1.50 / kit / year
  • Q SQRT(2 ? 124,800 ? 150 / 1.5) 4,996 5,000
  • Costs
  • Each hospital operated independently 4 ? 3,747
    14,988 / year
  • All four together S ? D / Q H ? Q / 2
    3,744 3,750 7,494 / year
  • 50 savings
  • Quadrupling demand doubles the optimal order
    quantity and doubles the total relevant cost

19
Four hospitals managed together
  • Costs
  • Each hospital operated independently 4 ? 3,747
    14,988 / year
  • All four together S ? D / Q H ? Q / 2
    3,744 3,750 7,494 / year
  • 50 savings
  • Quadrupling demand doubles the optimal order
    quantity and doubles the total relevant cost

20
  • Determining ROP with EOQ model
  • Lead time 5 days
  • Demand during lead time (5 days) ? (10.12 VCRs
    / day) ? 51 VCRs
  • ? Set ROP 51 VCRs

Problem this calculation assumes constant
demand. May lead to shortages too frequently
21
What happens to Holding Cost when we Increase ROP?
Pg. 149
  • EOQ constant demand, zero safety stock
  • ROP avg. demand during lead time
  • Iavg (min max)/2 (0Q)/2 Q/2
  • Holding cost H ? Q / 2
  • If we add safety stock SS, then
  • ROP avg. demand during lead time SS
  • Iavg Q/2 min SS Q/2
  • Holding cost H ? (SS Q / 2)

22
Pg. 152
How Shortages Happen
Inventory
Active learningHow could we have avoided the
shortage?
Time
23
Inventory
The demand during the lead time is uncertain.
Here are 4 possibilities.
Well see how to pick ROP so as to provide a
specified fill rate to Excel
Time
24
LTD Recap
  • LTD worksheet in AE Noise workbook
  • Purpose vary ROP (and Q, if desired) and see
    what happens to the fill rate
  • LTD-exotic version can vary the lead time
  • Useful for comparing suppliers that provide
    different lead times

25
Simulation versus EOQ
pg. 151
26
Back to the Distribution Game Can we use EOQ
here?
Pg. 158
Retailer
A multi-echelon system
Retailer
Supplier
Warehouse
Retailer
27
Using EOQ for a two-echelon system
  • Upper echelon
  • Use warehouse holding cost rate
  • Ignore higher cost of holding inventory at
    retailers
  • Lead time 15 (supplier ? warehouse) 5
    (warehouse ? retailer) 20 days
  • Lower echelon
  • Use incremental retailer holding cost rate
  • Lead time 5 days
  • Coordination warehouse order size should be a
    multiple of the sum of the retailer order sizes

28
Data
Assume open 250 days / year
  • Supplier to warehouse transit time 15 days
  • Warehouse to retailer transit time 5 days
  • Demand per retailer 500 per year
  • Selling price 100/unit
  • Purchase price 70/unit
  • Supplier to warehouse order cost 200
  • Warehouse to retailer order cost 2.75
  • Warehouse holding cost 10/unit/year
  • Retailer holding cost 12/unit/year

To Excel
29
Upper echelon Use warehouse holding cost rate
(Ignore higher cost of holding inventory at
retailers) Lead time 15 (supplier ? warehouse)
5 (warehouse ? retailer) 20 days
Upper echelon
Retailer
Retailer
Supplier
Warehouse
Retailer
30
Lower echelon Use incremental retailer holding
cost rate retailer holding cost rate
warehouse holding cost rate Lead time 5 days
Lower echelon
Retailer
Retailer
Supplier
Warehouse
Retailer
31
Coordination
  • Suppose each retailer uses QLower 20. If all
    retailers order at once, the total is 60.
  • Active learning you are the warehouse manager.
    Knowing the retailer order sizes, how would you
    pick the warehouse order size?

32
Using EOQ for a 2-echelon system the details
  • Upper echelon
  • DUpper 3 ? DRetailer
  • SUpper SWarehouse
  • HUpper HWarehouse
  • LTUpper LTSupplier ? Warehouse LTWarehouse ?
    Retailer
  • ROPUpper DUpper ? LTUpper
  • Lower echelon
  • DLower DRetailer
  • SLower SRetailer
  • HLower HRetailer - HWarehouse
  • LTLower LTWarehouse ? Retailer
  • ROPLower DLower ? LTLower
  • Coordination QUpper n ? SUM(QLower)
  • Choose n (an integer) and QLower to minimize
    total cost for the whole system

33
Data
Assume open 250 days / year
  • Supplier to warehouse transit time 15 days
  • Warehouse to retailer transit time 5 days
  • Demand per retailer 500 per year
  • Selling price 100/unit
  • Purchase price 70/unit
  • Supplier to warehouse order cost 200
  • Warehouse to retailer order cost 2.75
  • Warehouse holding cost 10/unit/year
  • Retailer holding cost 12/unit/year

To Excel
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