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Economic Order Quantity
(EOQ)
Independent Demand Vs.
Dependent Demand
 Independent demand items are those items that
we sell to customers.
 Dependent demand items are materials or
component parts used in the production of another
item (e.g., finished product). Demand for a car
translates into demand for four tires, one engine,
one transmission, and so on. The items used in the
production of that car (the independent demand
item) are the dependent demand items.
 Supplies are items such as copier paper, cleaning
materials, and pens that are not used directly in the
production of independent demand items
Objectives of Inventory
Management
 Provide acceptable level of customer
service (on-time delivery)
 Allow cost-efficient operations
 Minimize inventory investment
Cycle Stock Inventory
Cycle Stock Inventory is the portion of an inventory
that the seller cycles through to satisfy regular sales
order. It is part of on-hand inventory, which includes
all of the items that a seller has in its possession.
Relevant Inventory Costs
Item Cost Cost per item plus any other direct costs
associated with getting the item to the
plant
Holding
Costs
Capital, storage, and risk cost typically
stated as a % of the unit value,
e.g. 15-25%
Ordering
Cost
Fixed, constant dollar amount incurred
for each order placed
Shortage
Costs
Loss of customer goodwill, back order
handling, and lost sales
Order Quantity Strategies
Lot-for-lot Order exactly what is needed for the
next period
Fixed-order
quantity
Order a predetermined amount each
time an order is placed
Min-max
system
When on-hand inventory falls below a
predetermined minimum level, order
enough to refill up to maximum level
Order n
periods
Order enough to satisfy demand for
the next n periods
Examples of Ordering Approaches
Lot for Lot Example
1 2 3 4 5 6 7 8
Requirements 70 70 65 60 55 85 75 85
Projected-on-Hand (30) 0 0 0 0 0 0 0
Order Placement 40 70 65 60 55 85 75 85
Fixed Order Quantity Example with Order Quantity of 200
1 2 3 4 5 6 7 8
Requirements 70 70 65 60 55 85 75 85
Projected-on-Hand (30) 160 90 25 165 110 25 150 65
Order Placement 200 200 200
Min-Max Example with min.= 50 and max.= 250 units
1 2 3 4 5 6 7 8
Requirements 70 70 65 60 55 85 75 85
Projected-on-Hand (30) 180 110 185 125 70 165 90 165
Order Placement 220 140 180 160
Order n Periods with n = 3 periods
1 2 3 4 5 6 7 8
Requirements 70 70 65 60 55 85 75 85
Projected-on-Hand (30) 135 65 0 140 85 0 85 0
Order Placement 175 200 160
Three Mathematical Models for
Determining Order Quantity
 Economic Order Quantity (EOQ or Q System)
 An optimizing method used for determining order
quantity and reorder points
 Part of continuous review system which tracks on-
hand inventory each time a withdrawal is made
 Economic Production Quantity (EPQ)
 A model that allows for incremental product delivery
 Quantity Discount Model
 Modifies the EOQ process to consider cases where
quantity discounts are available
Economic Order Quantity
 EOQ Assumptions:
 Demand is known & constant -
no safety stock is required
 Lead time is known & constant
 No quantity discounts are
available
 Ordering (or setup) costs are
constant
 All demand is satisfied (no
shortages)
 The order quantity arrives in a
single shipment
EOQ: Total Cost Equation
cost
setup
or
ordering
cost
holding
annual
ordered
be
o
quantity t
demand
annual
cost
annual
total
2





















S
H
Q
D
TC
Where
H
Q
S
Q
D
TCEOQ
Economic order quantity
 
)
(sec
2
)
(
0
2
)
(
)
cos
(
2
)
(
3
2
2
2
condition
order
ond
Q
A
dQ
Q
Y
d
condition
order
first
Q
A
D
h
dQ
Q
dY
unit
per
t
inventory
total
c
Q
A
D
hQ
Q
Y







Economic order quantity
 
)
(
2
0
2
)
(
2
quantity
order
economic
h
AD
Q
condition
order
first
Q
A
D
h
dQ
Q
dY






EOQ Total Costs
Total annual costs = annual ordering costs + annual holding costs
The EOQ Formula
Minimize the TC by ordering the EOQ:
H
DS
EOQ
2

When to Order:
The Reorder Point
 Without safety stock:
 With safety stock:
days/weeks
in
time
lead
units
in
demand
ly
daily/week
units
in
point
reorder
where




L
d
R
dL
R
units
in
stock
safety
where 


SS
SS
dL
R
EOQ Example
 Weekly demand = 240 units
 No. of weeks per year = 52
 Ordering cost = $50
 Unit cost = $15
 Annual carrying charge = 20%
 Lead time = 2 weeks
EOQ Example Solution
year
units
D /
480
,
12
240
52 


year
per
unit
per
H 3
$
15
2
.
0 


units
H
DS
Q 645
98
.
644
3
50
480
,
12
2
2






units
dL
R
H
Q
S
Q
D
TC
480
2
240
$1,934.94
5
.
967
44
.
967
3
2
645
50
645
480
,
12
2







































EPQ (Economic Production
Quantity) Assumptions
 Same as the EOQ except: inventory arrives in
increments & is drawn down as it arrives
EPQ Equations
 Adjusted total cost:
 Maximum inventory:
 Adjusted order quantity:















 H
I
S
Q
D
TC MAX
EPQ
2










p
d
Q
IMAX 1










p
d
H
DS
EPQ
1
2
EPQ Example
 Annual demand = 18,000 units
 Production rate = 2500 units/month
 Setup cost = $800
 Annual holding cost = $18 per unit
 Lead time = 5 days
 No. of operating days per month = 20
EPQ Example Solution
month
units
p
month
units
d /
2500
;
/
1500
12
000
,
18



units
p
d
H
DS
Q 2000
2500
1500
1
18
800
000
,
18
2
1
2






















units
p
d
Q
IMAX 800
2500
1500
1
2000
1 



















400
,
14
200
,
7
200
,
7
18
2
800
800
2000
000
,
18
2


































 H
I
S
Q
D
TC MAX
EPQ Example Solution (cont.)
 The reorder point:
 With safety stock of 200 units:
units
SS
dL
R 575
200
5
20
1500






units
dL
R 375
5
20
1500




Quantity Discount Model
Assumptions
 Same as the EOQ, except:
 Unit price depends upon the quantity
ordered
 Adjusted total cost equation:
PD
H
Q
S
Q
D
TCQD 
















2
Quantity Discount Procedure
 Calculate the EOQ at the lowest price
 Determine whether the EOQ is feasible at
that price
 Will the vendor sell that quantity at that price?
 If yes, stop – if no, continue
 Check the feasibility of EOQ at the next
higher price
 Continue to the next slide ...
QD Procedure (continued)
 Continue until you identify a feasible EOQ
 Calculate the total costs (including total item
cost) for the feasible EOQ model
 Calculate the total costs of buying at the
minimum quantity required for each of the
cheaper unit prices
 Compare the total cost of each option &
choose the lowest cost alternative
 Any other issues to consider?
QD Example
 Annual Demand = 5000 units
 Ordering cost = $49
 Annual carrying charge = 20%
 Unit price schedule:
Quantity Unit Price
0 to 999 $5.00
1000 to 1999 $4.80
2000 and over $4.75
QD Example Solution
 Step 1
718
75
.
4
2
.
0
49
000
,
5
2
75
.
4
$ 





P
Q
714
80
.
4
2
.
0
49
000
,
5
2
80
.
4
$ 





P
Q
700
00
.
5
2
.
0
49
000
,
5
2
00
.
5
$ 





P
Q
QD Example Solution (Cont.)
 Step 2
700
,
25
$
5000
00
.
5
00
.
5
2
.
0
2
700
49
700
000
,
5
700 








Q
TC
725
,
24
$
5000
80
.
4
80
.
4
2
.
0
2
1000
49
1000
000
,
5
1000 








Q
TC
50
.
822
,
24
$
5000
75
.
4
75
.
4
2
.
0
2
2000
49
2000
000
,
5
2000 








Q
TC
What if Demand is Uncertain?
Safety Stock and Service Level
 Order-cycle service level is the
probability that demand during lead
time won’t exceed on-hand inventory.
 Risk of a stockout = 1 – (service level)
 More safety stock means greater
service level and smaller risk of
stockout
Safety Stock and Reorder
Point
 Without safety stock:
 With safety stock:
days
in
time
lead
units
in
demand
daily
units
in
point
reorder
where




L
d
R
dL
R
units
in
stock
safety
where 


SS
SS
dL
R
Reorder Point Determination
R = reorder point
d = average daily demand
L = lead time in days
z = number of standard deviations associated with
desired service level
s = standard deviation of demand during lead time
dL
dL
z
dL
R
z
SS
s
s



i.e.,
Safety Stock Example
 Daily demand = 20 units
 Lead time = 10 days
 S.D. of lead time demand = 50 units
 Service level = 90%
Determine:
1. Safety stock
2. Reorder point
Safety Stock Solution
units
283
83
10
20 




 SS
dL
R
65
.
1
:
B
Appendix
From 
z
Step 1 – determine z
Step 2 – determine safety stock
Step 3 – determine reorder point
units
83
50
65
.
1 


SS
EOQ_EDITED (1).ppt

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EOQ_EDITED (1).ppt

  • 2. Independent Demand Vs. Dependent Demand  Independent demand items are those items that we sell to customers.  Dependent demand items are materials or component parts used in the production of another item (e.g., finished product). Demand for a car translates into demand for four tires, one engine, one transmission, and so on. The items used in the production of that car (the independent demand item) are the dependent demand items.  Supplies are items such as copier paper, cleaning materials, and pens that are not used directly in the production of independent demand items
  • 3. Objectives of Inventory Management  Provide acceptable level of customer service (on-time delivery)  Allow cost-efficient operations  Minimize inventory investment
  • 4. Cycle Stock Inventory Cycle Stock Inventory is the portion of an inventory that the seller cycles through to satisfy regular sales order. It is part of on-hand inventory, which includes all of the items that a seller has in its possession.
  • 5. Relevant Inventory Costs Item Cost Cost per item plus any other direct costs associated with getting the item to the plant Holding Costs Capital, storage, and risk cost typically stated as a % of the unit value, e.g. 15-25% Ordering Cost Fixed, constant dollar amount incurred for each order placed Shortage Costs Loss of customer goodwill, back order handling, and lost sales
  • 6. Order Quantity Strategies Lot-for-lot Order exactly what is needed for the next period Fixed-order quantity Order a predetermined amount each time an order is placed Min-max system When on-hand inventory falls below a predetermined minimum level, order enough to refill up to maximum level Order n periods Order enough to satisfy demand for the next n periods
  • 7. Examples of Ordering Approaches Lot for Lot Example 1 2 3 4 5 6 7 8 Requirements 70 70 65 60 55 85 75 85 Projected-on-Hand (30) 0 0 0 0 0 0 0 Order Placement 40 70 65 60 55 85 75 85 Fixed Order Quantity Example with Order Quantity of 200 1 2 3 4 5 6 7 8 Requirements 70 70 65 60 55 85 75 85 Projected-on-Hand (30) 160 90 25 165 110 25 150 65 Order Placement 200 200 200 Min-Max Example with min.= 50 and max.= 250 units 1 2 3 4 5 6 7 8 Requirements 70 70 65 60 55 85 75 85 Projected-on-Hand (30) 180 110 185 125 70 165 90 165 Order Placement 220 140 180 160 Order n Periods with n = 3 periods 1 2 3 4 5 6 7 8 Requirements 70 70 65 60 55 85 75 85 Projected-on-Hand (30) 135 65 0 140 85 0 85 0 Order Placement 175 200 160
  • 8. Three Mathematical Models for Determining Order Quantity  Economic Order Quantity (EOQ or Q System)  An optimizing method used for determining order quantity and reorder points  Part of continuous review system which tracks on- hand inventory each time a withdrawal is made  Economic Production Quantity (EPQ)  A model that allows for incremental product delivery  Quantity Discount Model  Modifies the EOQ process to consider cases where quantity discounts are available
  • 9. Economic Order Quantity  EOQ Assumptions:  Demand is known & constant - no safety stock is required  Lead time is known & constant  No quantity discounts are available  Ordering (or setup) costs are constant  All demand is satisfied (no shortages)  The order quantity arrives in a single shipment
  • 10. EOQ: Total Cost Equation cost setup or ordering cost holding annual ordered be o quantity t demand annual cost annual total 2                      S H Q D TC Where H Q S Q D TCEOQ
  • 11. Economic order quantity   ) (sec 2 ) ( 0 2 ) ( ) cos ( 2 ) ( 3 2 2 2 condition order ond Q A dQ Q Y d condition order first Q A D h dQ Q dY unit per t inventory total c Q A D hQ Q Y       
  • 12. Economic order quantity   ) ( 2 0 2 ) ( 2 quantity order economic h AD Q condition order first Q A D h dQ Q dY      
  • 13. EOQ Total Costs Total annual costs = annual ordering costs + annual holding costs
  • 14. The EOQ Formula Minimize the TC by ordering the EOQ: H DS EOQ 2 
  • 15. When to Order: The Reorder Point  Without safety stock:  With safety stock: days/weeks in time lead units in demand ly daily/week units in point reorder where     L d R dL R units in stock safety where    SS SS dL R
  • 16. EOQ Example  Weekly demand = 240 units  No. of weeks per year = 52  Ordering cost = $50  Unit cost = $15  Annual carrying charge = 20%  Lead time = 2 weeks
  • 17. EOQ Example Solution year units D / 480 , 12 240 52    year per unit per H 3 $ 15 2 . 0    units H DS Q 645 98 . 644 3 50 480 , 12 2 2       units dL R H Q S Q D TC 480 2 240 $1,934.94 5 . 967 44 . 967 3 2 645 50 645 480 , 12 2                                       
  • 18. EPQ (Economic Production Quantity) Assumptions  Same as the EOQ except: inventory arrives in increments & is drawn down as it arrives
  • 19. EPQ Equations  Adjusted total cost:  Maximum inventory:  Adjusted order quantity:                 H I S Q D TC MAX EPQ 2           p d Q IMAX 1           p d H DS EPQ 1 2
  • 20. EPQ Example  Annual demand = 18,000 units  Production rate = 2500 units/month  Setup cost = $800  Annual holding cost = $18 per unit  Lead time = 5 days  No. of operating days per month = 20
  • 21. EPQ Example Solution month units p month units d / 2500 ; / 1500 12 000 , 18    units p d H DS Q 2000 2500 1500 1 18 800 000 , 18 2 1 2                       units p d Q IMAX 800 2500 1500 1 2000 1                     400 , 14 200 , 7 200 , 7 18 2 800 800 2000 000 , 18 2                                    H I S Q D TC MAX
  • 22. EPQ Example Solution (cont.)  The reorder point:  With safety stock of 200 units: units SS dL R 575 200 5 20 1500       units dL R 375 5 20 1500    
  • 23. Quantity Discount Model Assumptions  Same as the EOQ, except:  Unit price depends upon the quantity ordered  Adjusted total cost equation: PD H Q S Q D TCQD                  2
  • 24. Quantity Discount Procedure  Calculate the EOQ at the lowest price  Determine whether the EOQ is feasible at that price  Will the vendor sell that quantity at that price?  If yes, stop – if no, continue  Check the feasibility of EOQ at the next higher price  Continue to the next slide ...
  • 25. QD Procedure (continued)  Continue until you identify a feasible EOQ  Calculate the total costs (including total item cost) for the feasible EOQ model  Calculate the total costs of buying at the minimum quantity required for each of the cheaper unit prices  Compare the total cost of each option & choose the lowest cost alternative  Any other issues to consider?
  • 26. QD Example  Annual Demand = 5000 units  Ordering cost = $49  Annual carrying charge = 20%  Unit price schedule: Quantity Unit Price 0 to 999 $5.00 1000 to 1999 $4.80 2000 and over $4.75
  • 27. QD Example Solution  Step 1 718 75 . 4 2 . 0 49 000 , 5 2 75 . 4 $       P Q 714 80 . 4 2 . 0 49 000 , 5 2 80 . 4 $       P Q 700 00 . 5 2 . 0 49 000 , 5 2 00 . 5 $       P Q
  • 28. QD Example Solution (Cont.)  Step 2 700 , 25 $ 5000 00 . 5 00 . 5 2 . 0 2 700 49 700 000 , 5 700          Q TC 725 , 24 $ 5000 80 . 4 80 . 4 2 . 0 2 1000 49 1000 000 , 5 1000          Q TC 50 . 822 , 24 $ 5000 75 . 4 75 . 4 2 . 0 2 2000 49 2000 000 , 5 2000          Q TC
  • 29. What if Demand is Uncertain?
  • 30. Safety Stock and Service Level  Order-cycle service level is the probability that demand during lead time won’t exceed on-hand inventory.  Risk of a stockout = 1 – (service level)  More safety stock means greater service level and smaller risk of stockout
  • 31. Safety Stock and Reorder Point  Without safety stock:  With safety stock: days in time lead units in demand daily units in point reorder where     L d R dL R units in stock safety where    SS SS dL R
  • 32. Reorder Point Determination R = reorder point d = average daily demand L = lead time in days z = number of standard deviations associated with desired service level s = standard deviation of demand during lead time dL dL z dL R z SS s s    i.e.,
  • 33. Safety Stock Example  Daily demand = 20 units  Lead time = 10 days  S.D. of lead time demand = 50 units  Service level = 90% Determine: 1. Safety stock 2. Reorder point
  • 34. Safety Stock Solution units 283 83 10 20       SS dL R 65 . 1 : B Appendix From  z Step 1 – determine z Step 2 – determine safety stock Step 3 – determine reorder point units 83 50 65 . 1    SS