H(Fri Jan 14 14:54:20 2000) From Graves1.vmfe,;++++,+$7LLL*)(+&'89/-,.;d>?=<"d``    ? }$ < r < :4< .<$ #  ( +! $.>+  (4X (=bH  $E H K% O ! UW4  ^I 6 g0: l+2 nh (tx  ${  *$ -(6( T(g8 b<,< l |\L<,l|\L,C7LSUMPRODVMINVMAXTimeINITIAL TIMEFINAL TIMETIME STEP SAVEPER .Graves1alpha Inertia -dmnl d Demand"d t-1 Prior Demand"""epsilon t-1 Prior Disturbance"epsilon Demand Disturbance -widgets -PeriodOne Periodmu Initial Forecast""E[epsilon] Mean Disturbance"""Var[epsilon] SD Disturbance"RANDOM NORMALseedF t Prior Forecast"F t+1 Demand Forecast"L lead timeq Ordering"q t-L Receiving"Supply Line:SUPPLEMENTARYx Inventoryx0 Initial Inventory .Control7L 7L,< <,7L7L::d l 53 mTimes New RomanNdView 1 $*07>DJQX^djpw~"(.4:@FMS^dkq|&H7Lii< `Y  p>( z(@@@b 0z 0Fzezd'z 0< 0< .< d< @_@DL `( 0d 0" "  b(d " 1  00d 0" #  @` Z$ "@ :' $@ 5K  ( 0 00)'L)(d@_&@S'@" @&@BY&)@  ,`: '&@b*( x0  4&@ L% 6)@ *( L .  8 @  lZ *( LB.  ;@C@r @>')@T: ; A1 |Z C \p: *( L.  F @Ep2`E+EE' |&Stephen C. Graves, Massachusetts Institute of Technology, A Single-Item Inventory Model for a Non-Stationary Demand Process, MSOM 1:1, 1999VQ (DReplicated by Tom Fiddaman, Ventana Systems, 1999, from:hH7L:lG?|*?r# $%$? b G'$L\*/l8#l%|0000@?bL G'$ Lb\!G'$L\rl'#%%$?*|,@*1\?*6L?r;#'%$LZ@NQR\*EEJJG$*Q|?JVG$,*],*hzD*m|?*r*x?HH7L&? .&$?$% #,'<.&G$'L\,'<l&,'<>&l#|%$@@?,'<. &G$ 'L,'<.&G$'L\,'<.&%#?$%,'<&@ <\&?,'<L&? <.&#%$'L,'<*&N\,'<&E &&G$ ,|&?,'<&&G#$, ,,& ,&zD <|&? <& <&? <@H7LD&Internally defined simulation time." Simulation Control Parameters&The final time for the simulation.&The initial time for the simulation..The frequency with which output is stored.&The time step for the simulation.?zD?@??E??7L ///---\\\ :GRAPH FLOWS :TITLE Flows :SCALE :VAR d Demand :VAR q Ordering :VAR "q t-L Receiving" :GRAPH DEMAND_VS_FORECAST :TITLE Demand vs Forecast :SCALE :VAR d Demand :VAR "F t+1 Demand Forecast" :L<%^E!@ 9:test 15:0,0,0,0,0,0 19:100,0 27:0, 4:Time 5:x Inventory 24:1 25:1000 26:1000