Inventry Model
Transcript of Inventry Model
-
8/9/2019 Inventry Model
1/31
11SlideSlide
Inventory Models
-
8/9/2019 Inventry Model
2/31
22SlideSlide
Inventory System DefinedInventory System Defined
Inventory CostsInventory Costs
Economic Order QuantityEconomic Order Quantity
SingleSingle--Period Inventory ModelPeriod Inventory Model
MultiMulti--Period Inventory Models: Basic FixedPeriod Inventory Models: Basic Fixed--Order Quantity ModelsOrder Quantity Models
MultiMulti--Period Inventory Models: Basic FixedPeriod Inventory Models: Basic Fixed--Time Period ModelTime Period Model
Price Break ModelsPrice Break Models
Content
-
8/9/2019 Inventry Model
3/31
33SlideSlide
Inventory SystemInventory System
Inventory is the stock of any item or resource used in anInventory is the stock of any item or resource used in anorganization and can include: raw materials, finished products,organization and can include: raw materials, finished products,
component parts, supplies, and workcomponent parts, supplies, and work--inin--processprocess
An inventory system is the set of policies and controls thatAn inventory system is the set of policies and controls that
monitor levels of inventory and determines what levels should bemonitor levels of inventory and determines what levels should be
maintained, when stock should be replenished, and how largemaintained, when stock should be replenished, and how large
orders should beorders should be
-
8/9/2019 Inventry Model
4/31
44SlideSlide
Purposes of InventoryPurposes of Inventory
1. To maintain independence of operations1. To maintain independence of operations
2. To meet variation in product demand2. To meet variation in product demand
3. To allow flexibility in production scheduling3. To allow flexibility in production scheduling
4. To provide a safeguard for variation in raw material delivery time4. To provide a safeguard for variation in raw material delivery time
5. To take advantage of economic purchase5. To take advantage of economic purchase--order sizeorder size
-
8/9/2019 Inventry Model
5/31
55SlideSlide
Inventory CostsInventory Costs
Holding (or carrying) costsHolding (or carrying) costs
Costs for storage, handling, insurance, etcCosts for storage, handling, insurance, etc
Setup (or production change) costsSetup (or production change) costs
Costs for arranging specific equipment setups, etcCosts for arranging specific equipment setups, etc Ordering costsOrdering costs
Costs of someone placing an order, etcCosts of someone placing an order, etc Shortage costsShortage costs
Costs of canceling an order, etcCosts of canceling an order, etc
-
8/9/2019 Inventry Model
6/31
66SlideSlide
Cost Minimization GoalCost Minimization Goal
Ordering Costs
Holding
Costs
Order Quantity (Q)
COST
Annual Cost of
Items (DC)
Total Cost
QOPT
By adding the item, holding, and ordering costs
together, we determine the total cost curve, which inturn is used to find the Qopt inventory order point that
minimizes total costs
-
8/9/2019 Inventry Model
7/31
77SlideSlide
Basic FixedBasic Fixed--Order Quantity (EOQ) Model FormulaOrder Quantity (EOQ) Model Formula
Total
Annual =
Cost
Annual
Purchase
Cost
Annual
Ordering
Cost
Annual
Holding
Cost+ +
TC=Total annual
cost
D =Demand
C =Cost per unit
Q =Order quantity
Co =Cost of placing
an order or setup
cost
R =Reorder point
L =Lead time
Ch=Annual holding
and storage cost
per unit of inventoryCh2Q+Co
QD+DC=TC
-
8/9/2019 Inventry Model
8/31
88SlideSlide
Economic Ordering Quantity (EOQ)Economic Ordering Quantity (EOQ)
Using calculus, we take the first derivative of the total cost function withUsing calculus, we take the first derivative of the total cost function with
respect to Q, and set the derivative (slope) equal to zero, solving forrespect to Q, and set the derivative (slope) equal to zero, solving forthe optimized (cost minimized) value of Qthe optimized (cost minimized) value of Qoptopt
R eo rder p oint, R = d L_
d = average dailydemand (constant)
L = Leadtime (constant)
_W
e also need areorder point to
tell us when to
place an order
Q =2DCo
Ch =2(AnnualDemand)(OrderorSetup Cost)
Annual Holding CostOPT
-
8/9/2019 Inventry Model
9/31
99SlideSlide
Inventory ModelsInventory Models
SingleSingle--Period Inventory ModelPeriod Inventory Model
One time purchasing decision (Example: vendor selling tOne time purchasing decision (Example: vendor selling t--shirts at a game)shirts at a game)
Seeks to balance the costs of inventory overstock and underSeeks to balance the costs of inventory overstock and understockstock
MultiMulti--Period Inventory ModelsPeriod Inventory Models FixedFixed--Order Quantity ModelsOrder Quantity Models Event triggered (Example: running out of stock)Event triggered (Example: running out of stock)
FixedFixed--Time Period ModelsTime Period Models Time triggered (Example: Monthly sales call by salesTime triggered (Example: Monthly sales call by sales
representative)representative)
-
8/9/2019 Inventry Model
10/31
1010SlideSlide
SingleSingle--Period Inventory ModelPeriod Inventory Model
uo
u
CC
CP
e
This model states that we shouldcontinue to increase the size ofthe inventory so long as theprobability of selling the lastunit added is equal to or greater
than the ratio of: Cu/Co+Cu
soldbeunit willythattheProbabilit
estimatedunderdemandofunitperCostC
estimatedoverdemandofunitperCostC
:Where
u
o
!
!!
P
-
8/9/2019 Inventry Model
11/31
1111SlideSlide
Single Period Model ExampleSingle Period Model Example
Our college Cricketteamis playinginatournamentgamethisOur college Cricketteamis playinginatournamentgamethis
weekend. Based on our pastexperience wesell onaverage 2,500weekend. Based on our pastexperience wesell onaverage 2,500T shirts withastandarddeviation of 350. Wemake Rs100 onT shirts withastandarddeviation of 350. Wemake Rs100 onevery T shirt wesellatthegame, butlose Rs50 onevery T shirtevery T shirt wesellatthegame, butlose Rs50 onevery T shirtnotsold. How manyshirtsshould wemake for thegame?notsold. How manyshirtsshould wemake for thegame?
CCuu == Rs100 andRs100 and CCoo = Rs50;= Rs50; PP 100 / (100 + 50) = .667100 / (100 + 50) = .667
ZZ.667.667 = .432 (use NORMSDIST(.667) or Appendix E)= .432 (use NORMSDIST(.667) or Appendix E)
therefore we need 2,500 + .432(350) = 2,651 shirtstherefore we need 2,500 + .432(350) = 2,651 shirts
-
8/9/2019 Inventry Model
12/31
1212SlideSlide
MultiMulti--Period Models:Period Models:FixedFixed--Order Quantity Model Model AssumptionsOrder Quantity Model Model Assumptions
Demand for the product is constant and uniformDemand for the product is constant and uniformthroughout the periodthroughout the period
Lead time (time from ordering to receipt) isLead time (time from ordering to receipt) isconstantconstant
Price per unit of product is constantPrice per unit of product is constant
-
8/9/2019 Inventry Model
13/31
1313SlideSlide
MultiMulti--Period Models:Period Models:FixedFixed--Order Quantity Model Model AssumptionsOrder Quantity Model Model Assumptions
Inventory holding cost is based on average inventoryInventory holding cost is based on average inventory
Ordering or setup costs are constantOrdering or setup costs are constant
All demands for the product will be satisfied (No backAll demands for the product will be satisfied (No back
orders are allowed)orders are allowed)
-
8/9/2019 Inventry Model
14/31
1414SlideSlide
Fixed Order ModelFixed Order Model
QuantQuantity,ity,QQ
TTiimmeeLL
QuantQuantity,ity,QQ
QuantQuantity,ity,QQ
RR
TTiimm
eeLL
TTiimm
eeLL
-
8/9/2019 Inventry Model
15/31
1515SlideSlide
Basic FixedBasic Fixed--Order Quantity Model and Reorder Point BehaviorOrder Quantity Model and Reorder Point Behavior
R = Reorder point
Q = Economic order quantity
L = Lead time
L L
Q QQ
R
Time
Number
of unitson hand
1. Youreceive anorderquantityQ.
2. Yourstartusingthem up overtime. 3.Whenyoureach downto
a levelofinventoryof ,
you place yournextQ
sized order.
4.The cycle thenrepeats.
-
8/9/2019 Inventry Model
16/31
1616SlideSlide
EOQ Example (1) Problem DataEOQ Example (1) Problem Data
Annual Demand = 1,000 unitsDays per year considered in average
daily demand = 365Cost to place an order = Rs10
Holding cost per unit per year = Rs2.50Lead time = 7 daysCost per unit = Rs15
Given the information below, what are the EOQ and reorder point?
-
8/9/2019 Inventry Model
17/31
1717SlideSlide
EOQ Example (1) SolutionEOQ Example (1) Solution
d =1,000units / year
365days / year= 2.74units / day
eorder point, = d L = 2 .74units / day (7days) = 19.18 or_
20 units
In summary, you place an optimal order of 90 units. Inthe course of using the units to meet demand, when
you only have 20 units left, place the next order of 90
units.
Q =2DCo
Ch=
2(1,000)( 10)
2.50= 89.443un itsorOPT 90 units
-
8/9/2019 Inventry Model
18/31
1818SlideSlide
Quantity,Quantity,Q1Q1
Fixed TimeFixed Time
Quantity,Quantity,Q 2Q 2
Quantity,Quantity,
Q 3Q 3
Fixed TimeFixed TimeFixed TimeFixed Time
Fixed Period ModelFixed Period Model
-
8/9/2019 Inventry Model
19/31
1919SlideSlide
EOQ Example (2) Problem DataEOQ Example (2) Problem Data
Annual Demand = 10,000 unitsDays per year considered in average daily
demand = 365
Cost to place an order = Rs10
Holding cost per unit per year = 10% of costper unit
Lead time = 10 days
Cost per unit = Rs15
Determine the economic order quantity
and the reorder point given the following
-
8/9/2019 Inventry Model
20/31
2020SlideSlide
EOQ Example (2) SolutionEOQ Example (2) Solution
d =
10,000units / year
365 days / year = 27.397units / day
R = d L = 27.397 un its / day (10 days) = 273.97 o r_
274 its
Place an order for 366 units. When in the course of
using the inventory you are left with only 274 units,
place the next order of 366 units.
Q =2DCo
Ch=
2(10,000) (10)
1.50= 365.148un its, orOPT 366 units
-
8/9/2019 Inventry Model
21/31
2121SlideSlide
FixedFixed--Time Period Model with Safety Stock FormulaTime Period Model with Safety Stock Formula
order)onitems(includeslevelinventorycurrent=I
timeleadandrevieoverthedemandodeviationstandard=
yprobabilitservicespeci iedafordeviationsstandardofnumberthe=zdemanddailyaverageforecast=d
daysintimelead=L
revie sbetweendaysofnumberthe=T
orderedbetoquantitiy=q
:Where
I-Z+L)+(Td=q
L+T
L+T
W
W
q = Average demand + Safety stock Inventory currently on hand
-
8/9/2019 Inventry Model
22/31
2222SlideSlide
MultiMulti--Period Models: FixedPeriod Models: Fixed--Time Period Model:Time Period Model:Determining the Value ofDetermining the Value of WWT+LT+L
W W
W
W W
T+ L di 1
T+ L
d
T+ L d
2
=
Since each dayisindependent and is constant,
= (T + L)
i
2
!
The standard deviation of a sequence of randomThe standard deviation of a sequence of random
events equals the square root of the sum of theevents equals the square root of the sum of thevariancesvariances
-
8/9/2019 Inventry Model
23/31
2323SlideSlide
Example of the FixedExample of the Fixed--Time Period ModelTime Period Model
Average daily demand for a product is 20 units. The reviewperiod is 30 days, and lead time is 10 days. Management hasset a policy of satisfying 96 percent of demand from items instock. At the beginning of the review period there are 200units in inventory. The daily demand standard deviation is 4units.
Given the information below, how many units should be ordered?
-
8/9/2019 Inventry Model
24/31
2424SlideSlide
Example of the FixedExample of the Fixed--Time Period Model: Solution (Part 1)Time Period Model: Solution (Part 1)
W W
T+ L d
2 2
= (T + L) =3
0 +1
04
= 25.
298
The value for z is found by using the Excel NORMSINVfunction. By adding 0.5 to all the values in Z table and finding the
value in the table that comes closest to the service probability, thez value can be read by adding the column heading label to therow label.
So, by adding 0.5 to the value from Z Table of 0.4599, we have aprobability of 0.9599, which is given by a z = 1.75
-
8/9/2019 Inventry Model
25/31
2525SlideSlide
Example of the FixedExample of the Fixed--Time Period Model: Solution (Part 2)Time Period Model: Solution (Part 2)
or644.272,=200-44.272800=q
200-298)(1.75)(25.+10)+20(30=q
I-Z+L)+(Td=q L+T
units645
W
So, to satisfy 96 percent of the demand, you should place anorder of 645 units at this review period
-
8/9/2019 Inventry Model
26/31
2626SlideSlide
PricePrice--Break Model FormulaBreak Model Formula
Based on the same assumptions as the EOQ model, the price-break model has a similar Qopt formula:
i = percentage of unit cost attributed to carrying inventoryC = cost per unit
Since C changes for each price-break, the formula above willhave to be used with each price-break cost value
CostHoldingAnnual
Cost)SetuporderDemand)(Or2(Annual
=iC
2DCo
=QOPT
-
8/9/2019 Inventry Model
27/31
2727SlideSlide
PricePrice--Break Example Problem DataBreak Example Problem Data
A company has a chance to reduce their inventory ordering costs by
placing larger quantity orders using the price-break order quantityschedule below. What should their optimal order quantity be if thiscompany purchases this single inventory item with an e-mail orderingcost of Rs4, a carrying cost rate of 2% of the inventory cost of the item,and an annual demand of 10,000 units?
A company has a chance to reduce their inventory ordering costs by
placing larger quantity orders using the price-break order quantityschedule below. What should their optimal order quantity be if thiscompany purchases this single inventory item with an e-mail orderingcost of Rs4, a carrying cost rate of 2% of the inventory cost of the item,and an annual demand of 10,000 units?
Order Quantity(units) Price/unit(Rs)0to 2,499 Rs1.202,500to 3,999 1.004,000 or more .98
-
8/9/2019 Inventry Model
28/31
2828SlideSlide
PricePrice--Break Example SolutionBreak Example Solution
Annual Demand(D)=10,000 unitsCostto placean order (Co)= Rs4
First, plug data into formula for each price-break value of C
Carrying cost % of total cost(i)= 2%Cost per unit(C)= $1.20, $1.00, $0.98
Interval from0to 2499, theQopt valueis feasible
Interval from 2500-3999,theQopt valueisnotfeasibleInterval from 4000 & more,theQopt valueisnot
feasible
Next, determine if the computed Qopt values are feasible or not
units1,826=0.02(1.20)
4)2(10,000)(=
iC
2DCo=QOPT
units2,000=0.02(1.00)
4)2(10,000)(=
iC
2DCo=QOPT
units2,020=0.02(0.98)
4)2(10,000)(=
iC
2DCo=QOPT
-
8/9/2019 Inventry Model
29/31
2929SlideSlide
PricePrice--Break Example SolutionBreak Example Solution
Since the feasible solution occurred in the first price-break, it means that all the other true Qopt values occur atthe beginnings of each price-break interval. Why?
0 1826 2500 4000 Order Quantity
Totalannualcosts So the candidates
for the price-
breaks are 1826,2500, and 4000units
Because the total annual cost function is au shaped function
-
8/9/2019 Inventry Model
30/31
3030SlideSlide
PricePrice--Break Example SolutionBreak Example Solution
Next, we plug the true Qopt values into the total cost annual costfunction to determine the total cost under each price-break
TC(0-2499)=(10000*1.20)+(10000/1826)*4+(1826/2)(0.02*1.20)
= Rs12,043.82TC(2500-3999)= Rs10,041TC(4000&more)= Rs9,949.20
Finally, we select the least costly Qopt, which is this problem occurs inthe 4000 & more interval. In summary, our optimal order quantity is
4000 units
iC2
Q+Co
Q
D+DC=TC
-
8/9/2019 Inventry Model
31/31
3131SlideSlide
End of ChapterEnd of Chapter