Chase Strategy 1 2

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15 Period 1 2 3 4 5 6 Total Demand 5000 6000 8000 9000 9000 11000 48000 Costs in thousand dollars Unitholding cost: $60/period Ex 6 Regular OT SC 5000 - - Fina l Plan 500 0 6 000 88 00 112 00 600 0 110 00 6000 - - 6000 1200 1600 6000 1200 4000 0 0 6000 6000 1200 3800 End Inventor y 0 0 800 3000 0 0 Regular OT SC Holding Total 5000* 0 0 0 5000 6000 0 0 0 6000 6000 1380** 2000+ 48 ++ 9428 6000 1380 5000 18 0 12560 0 0 7500 0 7500 6000 1380 4750 0 12130 52,618 Capa city Capa cityin P5 Uni tcost Regular 6000 0 $1000 Overtime 1200 0 $1150 Sub-contract 4000 6000 $1250 5000 x $1000 = $5,00 0,000 **1200 x $11 50 =$1,380,000 +1600 x$1250 = 2,000,000 ++800 x$60 =$48,000 1 Lead time LT Time between placing and receiving order. On Hand Inventory OH Physical stock Inventory Level IL IL =O HQuantity on backorder Inventory Position IP IP =IL +Quantity in transit Let’s consider differe nt situation s Given Calculat e OH =50, LT =0 IL, IP IL =50, I P =50 (5 0- 0) (5 0+ 0) I L =-20, LT =0 OH, IP OH =100 , LT =3 day s. We orde red 75 units ye sterd ay fromsupp lier . IL, IP IL =- 40, LT =5 days , 80 units ord ere d yesterday, 50units orde red 3days ag o. OH, IP Definitions cont. IP >=IL OH=0,IP =-2 0 (-2 0 +0) IL =100 (100 + 0) IP =175 (10 0 +75) OH=0 IP =90 (- 40+80+50) 20 1 The EOQ Model  Economic Order Quantit y Objective : Todet ermineorder qua ntity (lot size ) tominimize ann ual invent ory cost. Deve loped i n 191 5 by H arris. Very sim ple, robust. Used by thou sands of compa nies around the w orld. 1 Annual demand is known, occurs atuniform rate. D: [Q / T ]. 2 Or de ri ng co stS is fi xe d f or ev er y or der. S: [$ ] 3 Hol din g cost Hcharg ed on av er ag e inv ent or y H: [$/ (Q*T ) ] 4 Lo tsi zeQ f ix ed, deli ver ed in onel ot Q: [Q] 5 Noshortage s permitted . IL>= 0 6 Lead-t ime ( LT ) doe s not var y LT : [T ] 7 One item , no quant ity discou nt is offered C: Pur chase priceper unit Assum ptions of ba sic EOQ Mode l  Frequencyof orderingversus holdingcost =12,000 units / year, S =$140, C =$15/unit nnual holding cost: 24% of C: H =15*24%=$3.6per uni t per Lot sizeQ #of orders Ordering cost Average inventory Holding cost AnnualInventory cost(  AIC)* D/ Q S. (D/ Q) Q/ 2 H. (Q /2 ) S. (D /Q). +H.(Q/2) 400 800 1200 1600 30.0 15.0 10.0 7.5 4200.0 2100.0 1400.0 1050.0 200.0 400.0 600.0 800.0 720.0 1440.0 2160.0 2880.0 4920.0 3540.0 3560.0 3930.0 Need faster methodtodetermineorder quantity! Smallerlotsizemeans: morefrequent ordering, higherorderingcost loweraverageinventory , lower holding cost FromEx.1.2:D =12000units /year , S=$140 ,H =3. 6$/unit/year Q0 = 966.1 Policy [0,1000] Policy [0,1500] 2. Atl eas t 750per lot? Ex 1.3:Variations of basicEO Qmodel ( youcan’t always order the exact number you want) 0 1 0 0 0 2 0 0 0 3 0 0 0 4 0 0 0 5 0 0 0 6 0 0 0 7 0 0 0 8 0 0 0 9 0 0 0 1 0 0 0 0 L o t Size (Q) 1. Atl eas t 1500 perlot? Policy [0,1000] 3. Sold in boxe s (150 per box). 50,300,450,600,750 , 900,1050, 1200 ,… 900 , 966.1 , 1050 , AIC(900) =3486.67 AIC(1050) =3490 Policy[0,900] 3 Ex. 1. 4 – con t. D=1200 0 units / year Policy: [0, 10 00] LT =1! mon ths Q*        I      n      v      e      n        t      o      r      y Policy: [15 00, 100 0] Ord er w hen IP =deman d dur ing lea d tim e =D * LT D* LT = *1! [months] =1500units 12000 [units / year] 12[months /year] LT =3 mon ths ? D* LT =3000units ((12 ,000 /12) *3) Ord er ing Polic y: [IP=300 0, Q=10 00] Polic y: [Dem an d inLT, Q* ] 2 EPQmodel ! "# $% & '( $)* +', '- '. $*/, , 0/ 1 *', ($, & 234 *% 25& 6 7 8$- / , 9*'5* :, 2; , < *2% % 035 */& *0,'= 23- *3 / & $6 8)*>*?*@ *A*B C D$&0E*%25& *D*'5*='F$9< *', %033 $9*=23*$/ %G* 5$&0E6 D)*>*H*B I J 21 9', K* % 25& *J*% G/3K$ 9*2,*/( $3 / K$* ', ($, & 234 J )*>*H*@ *L?M AN*B O P3290%& '2, *1 2& *5'. $*?*'5*= 'F$9 ? )*> *?*B Q R2*5G23& / K$5*E$3- '&& $96* S P3 290 % & '2,*3 /& $* L EN * '5* 0,'= 23 - 6 * * E)* > * ?*@ * A* B T 8U* 050/11 4*9$, 2& $5* / ,, 0/ 1 *9$ - / , 96 V5/ K$*W / & $*)* 0*'5*& G$*9/'14*9$- / , 9*X* 8*@ *Y* 9/ 45*', */*4$/ 36 P3290%& '2, *3/&$)* E'5*& G$*E3290%& '2, *E$3*9/46 !"#$ %& $' (' ) *$+$ (& # %,-$, . (# /- ,"0"1 21 34( ' ) 5 6 57 5 6 5 7 8 89: : ;: < = >: 88: ? 8?: = 9: > 88: @ > : A ;: ; A: B3# "1 A< : = >: @ =: CD"E&1 $F>G 8 >@ : 88: >@ : = >: =>: : => : =>: ?<: ?<: : ?< : ?<: <?: @ ; : : <?: @;: 8< : >A: : 8< : >A: A: ><: H 88: H H H H 9:: => : : A: ><: ==: H 8: H8: == : => : H ?A: ?A: H 2134(' ) F56IJ KF LF%&$' (' ) F56IMKFNF * $+$ (&# FO . (# / -, "0" 1 2134(' )F5 7IJ KF LF%& $' (' )F5 7IMKF NF%, - $,FO . (# / - ,"0" 1 F 6$" - H# (E$F6BFLF= F-" P4QF %&$' (' ) F4# 3+RFLF89:QF*$+$(&#F3' F-" PF< MF LF8F IS#",#(' )F7$,(3- K Q FJ F LF;FIC' - (' ) F7$,(3- K * %7FLF?<: Q FTFLF=>:QF %,-$,FTFU'(# 4F 0/ $'F! " #$" 20 6$"-F#(E$ %&B(E$FV$#0$$'F &1"+(')F"'-F,$+$(W( ')F 3,-$,G %'FX"'-F 5'W$'#3,P $ ' 7/P4(+"1F4#3+R 5'W$'#3,PF 6$W$1 !%!%()($' (*TU"'#(#PF 3'F V"+R3,-$, 5'W$'#3,PF 734(#(3' !" !"()(!%NFTU"'#(#PF('F #,"'4(# CD"E&1 $F>G 8FITF4P4# $E K Models involving probability distributio ! "# $ % &# '( )* &$ +',!- . /'! 0. /'&1 23 '4"* ' *&1&#( %5%+1% 2*&( "5* 6'7 5'" $$ ') 8' 14&+ &'( ) *&$+/' 5) '+4) # 1"9&+ ': &# &'; &# ( % 11& *6'<4% +'#&+=$ 1&*'% 5' >?? @' +&#A% 2&'$&A&$6 ' B) : ' : &': % $$ '2) 5+% *&# ' # "5*) ( *&( " 5*' ( ) *&$ +6 'C &': % $$ '4" A&' ) 22"+% ) 5"$' +4) #1 "9&+"5*' +&# A% 2&'$&A &$ '( " D'E&'$&++ '14"5'>??@ B)6 F) *&$ '1 D; & G C4&5'1 )' # &)#*&# '8% H& *' "( )=51'. I'  J &K )#*&# '; )% 51'( )* &$ ',. '+D +1 &(/' 2) 51% 5=) =+'#&A% &: '+D+1&( 3 L M): '( =24'1)') # *&# '"1'"'8% H& *' 1% ( &I N% H&*' ) #*&#'% 51&# A"$'( )*&$ ',0'+D+1 &( /'; &#% )*% 2 '#&A% &: ' +D+1&( 3 O P% 59$& '; &# % ) *' ( ) *&$',B&: +A& 5*) # 3 7 Newsvendor Model(fundamental concepts): ! 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Transcript of Chase Strategy 1 2

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Period 1 2 3 4 5 6

Demand 5000 6000 8000 9000 9000 11000

Unitho lding cost:$60/period

Ex 6

Regular

OT

SC

5000

-

-

Final Plan 5000 6000 8800 11200 6000 11000

6000

-

-

6000

1200

1600

6000

1200

4000

0

0

6000

6000

1200

3800End Inventory 0 0 800 3000 0 0

Regular

OT

SC

Holding

Total

5000*

0

0

0

5000

6000

0

0

0

6000

6000

1380**

2000+

48++

9428

6000

1380

5000

180

12560

0

0

7500

0

7500

6000

1380

4750

0

12130

Capacity Capacityin P5

Regular 6000 0

Overtime 1200 0

Sub-contract 4000 6000

5000 x $1000 = $5,000,000 **1200 x $1150 =$1,380,000

+1600 x$1250 = 2,000,000 ++800 x$60 =$48,000

1

Lead time LT Time between placing and receiving order.

On Hand Inventory OH Physical stock 

Inventory Level IL IL =OH – Quantity on backorder

Inventory Position IP IP =IL +Quantity in transit

Let’s consider different situations

Given Calculate

OH =50, LT =0 IL, IP IL =50, IP =50( 50 - 0) (50+ 0)

IL =-20, LT =0 OH, IP

OH =100, LT =3 days. We ordered 75units yesterday from supplier .

IL, IP

IL =- 40, LT =5 days, 80 units orderedyesterday, 50units ordered 3days ago.

OH, IP

Definitions cont.

IP >=IL

OH=0,IP =-20(-20 +0)

IL =100 (100+ 0)

IP =175(100 +75)

OH =0

IP =90(- 40+80+50)

20

1 The EOQ Model  – Economic Order Quantity

Objective: Todetermineorder quantity (lot size) tominimizeannual inventory cost.

Developed in 1915 by Harris. Very simple, robust.Used by thousands of companies around the world.

1 Annual demand is known, occurs atuniformrate.

D: [Q / T ].

2 Ordering costS is fixed for every order. S: [$ ]

3 Holding cost Hcharged on average inventory H: [$/ (Q*T) ]

4 LotsizeQ fixed, del ivered in onelot Q: [Q]

5 No shortages permitted. IL>=0

6 Lead-time (LT ) does not vary LT : [T ]

7 One item, no quantity discount is offered

C: Purchase priceper unit

Assumptions of basic EOQ Model

 Frequencyof orderingversus holding

=12,000 units / year, S =$140, C =$15/unit

nnual holding cost: 24% of C: H =15*24%=$3.6per

Lotsize Q

#of orders

Orderingcost

Averageinventory

Holdingcost

AnnualIncost( A

D/Q S.(D/Q) Q/2 H.(Q/2) S.(D/Q).+

400

800

1200

1600

30.0

15.0

10.0

7.5

4200.0

2100.0

1400.0

1050.0

200.0

400.0

600.0

800.0

720.0

1440.0

2160.0

2880.0

49

35

35

39

Need faster methodto determineorder quanti

Smaller lot size means :

• morefrequentordering, higherorderingcost

• loweraverageinventory, lower holdingcost

FromEx.1.2:D =12000units/year, S=$140,H =3.6$/unit/year

Q0 = 966.1 Policy[0,1000]

Policy[0,1500]

2. At least750perlot?

Ex 1.3:Variationsof basicEO Qmodel( youcan’talwaysorderthe exactnumberyou want)

0

1 00 0

2 00 0

3 00 0

4 00 0

5 00 0

6 00 0

7 00 0

8 00 0

9 00 0

1 00 00

                                   1

                                   5

                                   0

                                   3

                                   0

                                   0

                                   4

                                   5

                                   0

                                   6

                                   0

                                   0

                                   7

                                   5

                                   0

                                   9

                                   0

                                   0

                                   1

                                   0

                                   5

                                   0

                                   1

                                   2

                                   0

                                   0

                                   1

                                   3

                                   5

                                   0

                                   1

                                   5

                                   0

                                   0

                                   1

                                   6

                                   5

                                   0

                                   1

                                   8

                                   0

                                   0

L o tS i z e ( Q )

   A

   n

   n

   u

   a

    l 

   C

   o

   s

   t   s

1. At least1500perlot?

Policy[0,1000]

3. Sold in boxes(150 per box).

50,300,450,600,750, 900,1050,1200,…

900, 966.1, 1050,

AIC(900)=3486.67

AIC(1050)=3490 Policy[0,900]

3

Ex. 1.4 – cont.

D=12000 units / year

Policy: [0, 1000]

LT =1! months

Q*

       I     n     v     e     n       t     o     r     y

Policy: [1500, 1000]

Order when IP =demand during lead time =D *LT 

D* LT = *1! [months] =1500units12000 [units / year]12[months /year]

LT =3 months ?

D* LT =3000units((12,000/12) *3)

Ordering Policy:[ IP=3000, Q =1000 ]

Policy: [Demand inLT, Q*]

2 EPQmodel

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