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Page 1: Ch_2.3 Inventory Management

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Inventory Management

R. Dan Reid & Nada R. Sanders2nd Edition © Wiley 2005

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Independent vs. DependentDemand

• Independent demand items are fnishedgoods or other items sold to someoneoutside the company

• Dependent demand items are materialscomponent parts used in the productiono another item (e.g. fnished product!

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 "ypes o Inventory

•#nticipation or seasonal inventory

• $aety stoc%& 'uer demand )uctuations

• *ot+si,e or cycle stoc%& ta%e advantage o-uantity discounts or purchasing eciencies

• /ipeline or transportation inventory• $peculative or hedge inventory protects

against some uture event e.g. la'or stri%e

• aintenance repair and operating (1!

inventories

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'3ectives o Inventoryanagement

• /rovide accepta'le level o customerservice (on+time delivery!

• #llo4 cost+ecient operations• inimi,e inventory investment

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1elevant Inventory ostsItem Cost Cost per item plus any other direct cos

associated with getting the item to theplant

HoldingCosts

Capital, storage, and ris cost typicallystated as a ! o" the unit value,

e.g. #$%$!

'rderingCost

(i)ed, constant dollar amount incurredeach order placed

ShortageCosts

*oss o" customer goodwill, +ac orderhandling, and lost sales

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rder 6uantity $trategies

*ot%"or%lot rder e7actly 4hat is needed or thne7t period

(i)ed%orderuantity

rder a predetermined amount eactime an order is placed

Min%ma)system

When on+hand inventory alls 'elo4predetermined minimum level ordeenough to refll up to ma7imum leve

'rder n

 periods

rder enough to satisy demand or

ne7t n periods

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E7amples o rdering #pproache

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 "hree athematical odels

-conomic 'rder uantity /-' or System – #n optimi,ing method used or determining order -uan

and reorder points

 – /art o continuous review system 4hich trac%s on+hand inventory each time a 4ithdra4al is made

• -conomic 1roduction uantity /-10 – # model that allo4s or incremental product delivery

• uantity Discount Model – odifes the E6 process to consider cases 4here

-uantity discounts are availa'le

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Economic rder 6uantity

-' 2ssumptions3 – Demand is %no4n 8

constant + no saety stoc%is re-uired

 – *ead time is %no4n 8constant

 –

9o -uantity discounts areavaila'le

 – rdering (or setup! costsare constant

 – #ll demand is satisfed(no shortages!

 – "he order -uantity arrivesin a single shipment

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E6& "otal ost E-uation

costsetuporordering

costholdingannual

ordered beoquantity tdemandannual

costannualtotal

2

====

=

   

  +  

  

  =

 H 

Q D

TC 

Where

 H QS Q DTC  EOQ

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 "he E6 :ormula

•inimi,e the " 'y ordering the E6

 H 

 DS  EOQ

  2=

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E6 "otal osts•  "otal annual costs ; annual ordering costs <

annual holding costs

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 "he 1eorder /oint

•Without saety stoc%&

• With saety stoc%

days/weeksintimelead

unitsindemandlydaily/week 

unitsin pointreorder where

=

=

=

=

 L

 R

dL R

unitsinstocksafetywhere   =+=

SS 

SS dL R

E6 E l

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E6 E7ample+ Wee%ly demand ; 2=0 units + 9o. o 4ee%s pe

year ; 52

+ rdering cost ; >50 + ?nit cost ; >@+ #nnual carrying charge ; 20A + *ead time ; 24ee%s

 year units D   /480,1224052   =×=

 year  per unit  per  H    !152"0   =×=

units H  DS Q   #45$8"#44

50480,1222 ≅=××==

unitsdL R

 H Q

S Q

 DTC 

4802240

!1,$4"$45"$#%44"$#%

2

#4550

#45

480,12

2

=×==

=+=

   

   ×+ 

  

   ×= 

  

  +  

 

  

 =

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E/6 (Economic /roduction6uantity! #ssumptions

•$ame as the E6 e7cept& inventoryarrives in increments 8 is dra4n do4nas it arrives

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E/6 E-uations

#d3usted total cost&

a7imum inventory&

#d3usted order -uantity&

   

  +  

 

  

 =   H  I 

S Q

 DTC    MAX 

 EPQ2

   

  

 −=  p

d Q I  MAX    1

   

 

 

 

=

 p

d  H 

 DS  EPQ

1

2

E/6 E7ample

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E/6 E7ample• #nnual demand ; @B000 units /roduction rate ; 250

unitsCmonth

$etup cost ; >B00 #nnual holding cost ; >@B per unit• *ead time ; 5 days 9o. o operating days per month ;

monthunits pmonthunitsd    /2500&/150012

000,18===

units

 p

 H 

 DS Q   2000

2500

1500118

800000,182

1

2=

  

 

 

 

−×

××=

   

 

 

 

=

units p

d Q I  MAX    800

2500

1500120001   = 

  

   −×=  

 

  

 −=

400,14200,%200,%

182

800800

2000

000,18

2

=+=

 

 

 

 

  ×+ 

 

 

 

  ×= 

 

 

 

 +  

 

 

 

 =   H 

 I S 

Q

 DTC    MAX 

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 "he reorder point&

• With saety stoc% o 200 units

unitsdL R   %5520

1500=×==

unitsSS dL R   5%5200520

1500=+×=+=

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6uantity Discount odel#ssumptions

$ame as the E6 e7cept& – ?nit price depends upon the -uantity

ordered

• #d3usted total cost e-uation& PD H QS 

Q DTC QD   + 

  

  +  

  

  =

2

6uantity Discount /rocedure

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6uantity Discount /rocedure

• alculate the E6 at the lo4est price• Determine 4hether the E6 is easi'le at that pric

 – Will the vendor sell that -uantity at that price• I yes stop i no continue• hec% the easi'ility o E6 at the ne7t higher pric• ontinue until you identiy a easi'le E6• alculate the total costs (including total item cost!

the easi'le E6 model• alculate the total costs o 'uying at the minimum

-uantity re-uired or each o the cheaper unit price• Compare the total cost o" each option & choo

the lowest cost alternative• 2ny other issues to consider4

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E7ample

• #nnual Demand ; 5000 units

•rdering cost ; >=F

• #nnual carrying charge ; 20A

• ?nit price schedule&

Quantity Unit Price0 to 999 $5.00

1000 to 1999 $4.80

2000 and over $4.75

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$olution• $tep @

( )  feasi!enot Q P    %18%5"42"0

4$000,52%5"4!   =

×××==

( )  feasi!enot Q P    %1480"42"0

4$000,5280"4!   =

×××

==

( )  feasi!eQ P    %0000"52"0

4$000,5200"5!   =

×××

==

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• $tep 2

%0,25!500000"500"52"0

2

%004$

%00

000,5%00   =×+××+×==QTC 

%2,24!500080"480"42"02

10004$

1000

000,51000   =×+××+×==QTC 

82,24!5000%5"4%5"42"02

20004$

2000

000,52000   =×+××+×==QTC 

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What i Demand is ?ncertain

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$aety $toc% and $ervice *ev

• rder+cycle service level is the pro'a'ilitythat demand during lead time 4onGt e7ce

on+hand inventory.• 1is% o a stoc%out ; @ (service level!

• ore saety stoc% means greater servicelevel and smaller ris% o stoc%out

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$aety $toc% and 1eorder /oi

Without saety stoc%&

• With saety stoc%&

daysintimelead

unitsindemanddaily

unitsin pointreorder where

==

==

 L

 R

dL R

unitsinstocksafetywhere   =+=

SS 

SS dL R

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1eorder /oint Determination

1 ; reorder point

d ; average daily demand* ; lead time in days, ; num'er o standard deviations associated 4i

desired service level

σ ; standard deviation o demand during lead tim

dL

dL

 " dL R

 " SS 

σ  

σ  

+=

=i"e",

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$aety $toc% E7ample

Daily demand ; 20 units• *ead time ; @0 days

• $.D. o lead time demand ; 50 units

• $ervice level ; F0A

Determine&

@. $aety stoc%

2. 1eorder point

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$olution

$tep @ determine ,:rom ta'le& , ; @.2B

$tep 2 determine saety stoc%

$tep H determine reorder point

units#45028"1   =×=SS 

units2#4#41020   =+×=+=   SS dL R

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# Inventory lassifcation

• 25C classi6cation is a method or determining leo control and re-uency o revie4 o inventory item

• # /areto analysis can 'e done to segment items invalue categories depending on annual dollar volum

• 2 Items  typically 20A o the items accounting o

B0A o the inventory value+use 6 system• 5 Items  typically an additional H0A o the items

accounting or @5A o the inventory value+use 6 o

• C Items  "ypically the remaining 50A o the itemaccounting or only 5A o the inventory value+use

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25C -)ample

 "he ta'le 'elo4 sho4s a solution to an #analysis. "he inormation that is re-uired tdo the analysis is& Item J ?nit > Kalue a#nnual ?nit ?sage. "he analysis re-uires a

calculation o #nnual ?sage > and sortingthat column rom highest to lo4est > valuecalculating the cumulative annual > volum

and grouping into typical # classifcatio

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Item Annua U!a"e #$ Percenta"e o% &ota $ 'umuative Percenta"e o% &ota $ Item 'a!!i%ica

10( 1()500 *4.4 *4.4 A

110 12)500 2(.1 (0.5 A

115 4500 9.4 (9.9 +

105 *200 (.7 7(.( +

111 2250 4.7 81.* +

104 2000 4.2 85.5 +

114 1200 2.5 88 '

107 1000 2.1 90.1 '

101 9(0 2 92.1 '

11* 875 1.8 9*.9 '

10* 750 1.( 95.5 '108 (00 1.* 9(.8 '

112 (00 1.* 98.1 '

102 500 1 99.1 '

109 500 1 100.1 '

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Inventory 1ecord #ccuracy

• Inaccurate inventory records can cause3 – *ost sales – Disrupted operations – /oor customer service – *o4er productivity – /lanning errors and e7pediting

• 7wo methods are availa+le "or checing record accura – /eriodic counting+physical inventory – ycle counting+daily counting o pre+specifed items provid

the ollo4ing advantages&•  "imely detection and correction o inaccurate records• Elimination o lost production time due to une7pected

stoc% outs• $tructured approach using employees trained in cycle

counting